
AI Voice Agents - The Complete Guide to Voice Chat (2025)
Learn everything about an AI voice agents, its benefits, implementation tips, and the AI voice chat applications for business success.
Longer wait times, high call volumes, and language barriers in call centers often frustrate customers. Complex interactive voice response (IVR) menus only add to the problem, leading to customer dissatisfaction. That’s why companies are adopting smarter self-service solutions like artificial intelligence (AI) voice agents. In fact, experts predict the voice bot market will reach $98.2 billion by 2027, showing a clear trend toward smarter solutions to improving customer experience.
AI voice agents technology combines Natural Language Processing (NLP), machine learning, and voice recognition to transform customer interactions. It provides quicker, more efficient service and improves the overall customer experience.
In this guide, we'll explore what AI voice agents are, their key features, practical use cases, and tips on how to implement a voice agent in your business.
What is an AI voice agent?
An AI voice agent is a two-way conversational tool that communicates with the customer. It automates inbound and outbound calls without human intervention and transfers calls to a human agent when needed.

The biggest advantage? Callers can navigate an IVR by speaking naturally, without listening to long, complex menus or pressing numbers on a keypad.
Popular AI voice agent examples include Apple's Siri, Google Assistant, and Amazon's Alexa. These tools simplify interactions, provide instant answers, and automate tasks. In contrast, advanced bots like IBM’s Watson Assistant and Microsoft’s Cortana handle customer support, sales inquiries, and internal communications.
Types of AI voice agents
Here’s a breakdown of the four main types of AI voice agents and how they can benefit your business:
Rule-based AI voice agent
Rule-based voice agent use predefined sets of questions and rules to offer answers or perform tasks. Such voice agents handle routine tasks and customer FAQs. They answer all queries that fall under the if-this-then-that logic.
For example, an e-commerce site using a bot to guide customers in checking their order status or a banking site handling routine inquiries like balance checks, bill payments, transaction histories, etc.
AI-assisted voice agent
AI-assisted voice agents use machine learning and natural language to interpret conversations so they can analyze the context and grasp what the speaker means. This makes them far more capable and user-friendly than the conventional, rule-based voice agents.
Let’s suppose a user asks Alexa, 'What's the weather tomorrow?' and then follows up with, 'How about next week?' it remembers the context. This adaptability means customers don’t have to repeat themselves, creating a more contextual customer experience.
Conversational AI voice agent
Conversational voice agents make conversations using natural language. They’re more nuanced than AI-assisted voice agents as they can handle complex conversations using everyday language to create more personalized interactions.

Google Duplex, and IBM Watson Assistant, are examples of conversational voice agents. They can make phone calls, make reservations, and handle natural conversations with a human-like tone.
Voice-activated voice agent
These bots use voice commands to answer practical questions and perform routine tasks. They are more flexible than personal voice agents that adapt to speakers and perform customized tasks.
Such bots serve as digital assistants to AI-assisted bots like Siri.
How does an AI voice agent improve customer engagement?
A customer calling your sales team wants to feel valued and understood. An AI voice agent does that. It puts the customer at the center, creating a better experience and driving business benefits as a result. Let’s understand it with a few use cases.
Use case: Get a quick update on order status, 24/7

Assuming the AI voice agent is integrated into your CRM, it greets the customer by name. Instead of navigating through a branched IVR to get their order status, the customer can simply say ‘order status’ and the voice bot pulls out the order details from the CRM and gives the user a real-time update within seconds.
Sheraz Ali, the Founder of HARO Links Builder states that their voice agent managed over 30% of customer interactions in one of their company projects and drastically reduced wait times.
“It also improved our response efficiency and led to a 20% increase in customer satisfaction scores and a reduction in operational costs within three months.”
Benefits:
- Decreased waiting time.
- Limited IVR menu navigation.
- No human intervention is required.
- Quick response times.
- Reduced business costs.
- Tangible increase in customer satisfaction.
Use case: Improve language learning for students

A language learning platform uses a voice agent to provide real-time translations and personalized tutoring. So the voice agent instantly supports students in any subject by translating and clarifying complex terms in their preferred language.
Benefits:
- Reduced requirement for multilingual staff.
- Increases inclusivity as the bot answers in the user’s preferred language.
- Language barriers are removed.
Use case: Improve patient outcomes in healthcare

It's easy to miss appointments or forget to deliver prescriptions to the patient’s home timely. A healthcare service can employ a voice agent to deliver personalized care and offer preliminary health assessments, medication reminders, and easy appointment scheduling, all according to the individual patient's needs.
Benefits:
- Saves time by streamlining appointment bookings.
- Ensures medication adherence with timely reminders.
- Reduces workload for healthcare providers with automated support.
Use case: Streamline routine financial services

Once integrated with the banking system, the voice agent automates routine financial tasks, provides instant account information, processes transactions, and delivers personalized financial advice around the clock.
Benefits:
- 24/7 access to financial services without wait times.
- Improves customer experience with quick, accurate responses.
- Automates routine tasks, freeing up staff for complex queries.
- Provides personalized advice to improve financial decision-making.
Use case: Get personal shopping assistance

An e-commerce platform can use a voice agent to assist customers with product selection, provide personalized recommendations, and automate the sales process from start to finish.
Benefits:
- Delivers a personalized shopping experience 24/7.
- Boosts sales with customized recommendations.
- Reduces cart abandonment by guiding customers to checkout.
- Improves customer satisfaction with fast, accurate service.
Features of an AI voice agent
To understand why voice agents are so effective, let’s look at the key features that improve the overall customer service experience while streamlining business operations.
The best voice agents for businesses come equipped with:
Natural language understanding (NLU)
An AI voice agent understands user queries by converting speech into text using AI and NLP. It then forms an appropriate response and converts it back into speech using text-to-speech (TTS) technology. This ability to understand and respond in natural, conversational language sets AI voice agents apart from traditional IVR systems, which rely on rigid, menu-based responses.

Personalization capabilities
Customers want quick, personalized responses to their queries, unlike complex IVR systems that frustrate them with lengthy menus. An AI voice agent offers contextual conversations, adapting to the user’s intent. It detects speech cues, skips irrelevant interactions, and also transfers calls to the right agent.
Hence, when comparing voice agents to IVRs, the bot's ability to offer personalized interactions like a human outshines communication systems that follow even the best IVR practices.
Multi-language support
AI voice agents break down language barriers, supporting multiple languages to provide a more inclusive and accessible customer experience. Businesses can easily connect with diverse customer bases across the globe.
For instance, Plivo supports speech recognition in 27 languages and their regional variants.
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Integration with other platforms and services
AI voice agents easily integrate with platforms like customer relationship management (CRM) systems, Enterprise resource planning (ERP) tools, and ticketing software. They access and update customer data in real time to ensure accuracy.
These bots also pull relevant details, automate follow-up actions, and sync with communication channels like email or chat. This creates a personalized and consistent customer experience across all touchpoints.
Benefits of voice agents
Let’s now look at the benefits of AI voice agents.
Enhanced user experience
Many businesses have concerns over the quality of a voice agent for customer service. However, a voice agent answers queries quickly regardless of the time of the day. Speedy, reliable answers are important to providing excellent service, making voice agents an invaluable tool for businesses looking to improve customer satisfaction.
Additionally, businesses can:
- Handle routine queries and common tasks faster than human agents.
- Remove the need for users to navigate complex IVR menus.
- Manage high-volume calls without errors.
Better cost efficiency
An AI voice agent doesn’t just save time, it also saves money. It boosts user satisfaction and reduces support times by automating repetitive queries. This frees up staff for higher-value tasks, and interacting with customers after hours has improved lead conversion.
The direct benefits to businesses are:
- Reduces the need for a larger customer support team.
- Allows human agents to focus on complex, high-value inquiries.
- Engages users outside business hours to boost marketing return on investment (ROI).
- Lowers training costs and minimizes the risk of providing incorrect information.
Accessibility for users with disabilities
With over one billion people living with disabilities worldwide, voice agents make services more inclusive. They enable hands-free, accessible interactions, allowing customers with visual, motor, or cognitive impairments to engage with the business easily. This not only improves customer satisfaction but also broadens the company’s reach to a more diverse audience.
Data collection and analysis for improved services
Voice agents don’t just serve customers — they also gather insights. Use this data to analyze data and improve services, personalize marketing efforts, and make more informed business decisions.
24/7 availability
Unlike human agents, voice agents are always accessible. They ensure customers get help whenever they need it, contributing to a more consistent and reliable customer experience.
Future of AI voice technology
As IBM's data engineer, Chris Hay puts it, "We're entering an era where every mom-and-pop shop can have the same level of customer service as an enterprise." This statement captures the transformative potential of voice recognition technology.
AI voice chat applications benefit businesses of all sizes by delivering top-tier customer experiences. Tech giants are already paving the way. Microsoft has updated its Copilot AI with advanced voice capabilities, allowing it to handle complex queries with natural language reasoning, while Meta has introduced voice AI to its messaging apps.
AI voice assistants will move beyond smartphones, integrating into wearable devices like the recently unveiled Meta Orion augmented reality glasses. For businesses handling sensitive client relationships, this could mean smarter, empathetic bots that mirror the tone and approach of a human assistant.
Key upcoming trends:
- Hyper-personalization: Customized voices and targeted recommendations.
- Advanced problem-solving: Managing complex queries using natural language.
- Real-time analytics: Analyzing customer tone for deeper insights.
Yet, challenges remain. Arvind Rongala, the founder of a skill-management solution provider, shares, “There are still issues, especially with data privacy and ensuring interactions are human-like. In addition to resolving problems with bias in training data and regulatory compliance, businesses must strike a balance between automation and personalization. For example, adhering to GDPR regarding the storage of voice data can be challenging, but doing so is essential to fostering trust.”
Ultimately, businesses need to prioritize data security, explore multi-device integration options, and develop stronger contextual understanding for natural interactions.
Launch an AI voice agent with Plivo
Any scaling business needs a voice agent that's easy to integrate, globally accessible, and cost-effective without sacrificing quality.
Plivo checks all these boxes, offering seamless integration, seven global points of presence for low-latency interactions, and competitive rates starting at just $0.0040 per minute. It's ideal for businesses willing to scale while keeping operational costs in check.
In fact, Plivo can reduce operational costs by up to 40%.
Moreover, its commitment to reliability is backed by a 99.99% uptime guarantee, with failover capabilities that switch within two seconds if any disruptions occur.
You can launch voice agents with Plivo using just a few lines of code.
- Log in to your OpenAI Account: Secure your API key and RealTime API access.
- Log in to your Plivo Account: Sign up and get a voice-enabled number.
With integration options for leading speech-to-text (STT) and TTS providers like Deepgram and ElevenLabs, you can launch AI voice agents in multiple regions, including India, using local numbers.
Use Plivo-powered voice agents for:
- Personal shopping assistance: Offer personalized recommendations, go through product selections, and close sales.
- Healthcare automation: Improve patient outcomes with medication reminders, and appointment scheduling, and offer preliminary health assessments.
- Inclusivity in education: Break language barriers in learning with real-time translations and personalized tutoring across multiple subjects.
- Routine financial services automation: Provide instant account information, personalized financial advice, transaction processing status, etc. to customers.
With a 24/7 AI voice agent, your business can handle these tasks around the clock, ensuring that customers are never left waiting. Want to improve customer experience with Plivo? Contact us today.

8 Best AI Voice Automation Platforms in 2026
e Automation Software for Sales & Support (2026) Meta Description: Explore the 8 best AI voice automation platforms in 2026. Compare enterprise-ready tools for sales, support, scheduling, and intelligent call handling.
8 Best AI Voice Automation Platforms in 2026
The era of "Press 1 for Sales" is effectively over. In 2026, customers expect immediate, intelligent conversation, and businesses that stick to rigid keypad menus are actively losing revenue.
Modern voice automation has evolved far beyond simple call routing. Today's best platforms enable you to deploy infinite agents that sound, think, and react like your top employees, handling complex sales objections, scheduling appointments, and resolving support tickets without a human ever picking up the phone.
But with hundreds of new tools flooding the market, finding one that actually delivers low latency and stability is a challenge. We have analyzed the top contenders to bring you the 8 platforms that are truly enterprise-ready.
Here is the list.
How to select the best AI voice automation platforms
To ensure this list serves both technical engineering teams and non-technical business owners, we evaluated eight platforms based on four critical performance metrics:
- Latency & Human-Likeness: We prioritized platforms that minimize the "awkward pause" (sub-1000ms response times) and offer voices that capture human nuance, including the ability to handle interruptions and "barge-ins" naturally.
- Integration Capabilities: A voice agent is only as good as the data it can access. We selected tools that offer deep, native integrations with major CRMs (HubSpot, Salesforce) or robust APIs that allow the agent to trigger complex backend actions.
- Reliability at Scale: We looked for infrastructure capable of handling hundreds of concurrent calls without degrading audio quality or crashing, ensuring stability for high-volume campaigns.
- Flexibility (Code vs. No-Code): We purposefully included a mix of "developer-first" APIs (for maximum control) and "no-code" visual builders (for rapid deployment) to cater to different organizational needs.
Also Read: AI Voice Agents-The Complete Guide to Voice Chat
A Quick Overview of the Best AI Voice Automation Platforms
Top 8 AI Voice Automation Platforms
Plivo
Best for: Businesses that need to automate actual customer phone calls with high reliability and low latency, scaling from simple no-code workflows to complex, programmable enterprise solutions.
Plivo is a voice-first AI agent and cloud communications platform that distinguishes itself by owning and operating its entire telephony, messaging, and AI stack. Unlike many tools that rely on third-party carriers like Twilio, Plivo's single-stack approach significantly reduces latency and improves reliability, boasting 99.99% uptime and compliance with standards like HIPAA, GDPR, and PCI DSS. Small businesses can start quickly with its no-code builder, "Vibe," using plain English instructions, while enterprises can leverage powerful programmable APIs to build complex, multi-channel workflows that share context across voice, SMS, and WhatsApp without ever switching platforms.
Key features
- Built-In Telephony: Native phone numbers, global connectivity, and SIP trunking without dependence on external carriers.
- Real-Time Audio Streaming: Streams live call audio via WebSockets for low-latency speech recognition and natural turn-taking.
- Multi-Channel AI Conversations: Extends agent logic and context across voice, SMS, and WhatsApp for consistent interactions.
- No-Code AI Agent Builder (Vibe): Allows users to create and deploy voice agents by defining goals and workflows in plain English.
- Programmable APIs & Integrations: Full control over workflows with well-documented APIs and webhooks to connect with CRMs and internal systems.
Pros
- Reduced Latency: Owning the telephony infrastructure eliminates hops to third-party carriers, ensuring faster response times.
- Production-Grade Reliability: Trusted by Fortune 500 companies with a 99.99% uptime guarantee.
- Seamless Scalability: Start with a small no-code workflow and scale to a fully programmable production system without rebuilding.
Cons
- Overkill for Basic Needs: Not ideal for businesses that only require a simple IVR or voicemail system with no AI logic.
- Configuration Required: Not suited for users seeking a pre-scripted, vertical-specific agent with zero configuration.
Pricing
Plivo offers pay-as-you-go pricing on our Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.
Bland AI
Best for: Hyper-scalable, enterprise-grade automated phone calls and voice agent workflows where large call volumes and deep customization matter most.
Bland AI is a voice automation platform focused on handling both inbound and outbound phone interactions using realistic conversational AI. Built with enterprise needs in mind, it provides programmable call flows, voice synthesis, and integration hooks that let teams automate complex telephony use cases, such as sales outreach, customer support, appointment reminders, and high-volume engagement, without relying on large human call center teams.
Key features
- Realistic, human-like voice agents capable of sustaining natural phone conversations.
- Developer-first APIs and webhook access for custom call logic and integration with CRM/telephony systems.
- Support for high concurrency and massive call volume automation.
- Voice cloning and multilingual voice customization options.
- Pathways or programmable conversation flows to define logic, routing, and call outcomes.
Pros
- Handles large call volumes reliably without degradation
- Strong customization through APIs and programmable logic
- Voice quality is more natural than many competitors
Cons
- Steep learning curve for non-technical teams
- Costs can escalate quickly with high usage
Pricing
Bland AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.
Vapi
Best for: Developers who want a low-latency orchestration layer to mix and match the best AI models (BYOK) for their specific needs.
Vapi is a dedicated infrastructure that glues together various AI components rather than offering a single black-box solution. It handles the difficult mechanics of voice conversation, such as turn-taking, endpointing (knowing when someone has finished speaking), and latency optimization, while allowing you to plug in any provider you want. This means you aren't locked into a specific voice model; you can use Deepgram for transcription, OpenAI for intelligence, and ElevenLabs for speech, all orchestrated seamlessly by Vapi.
Key features
- Developer APIs and SDKs for full workflow control
- Real-time voice orchestration with low latency (sub-600 ms)
- Plug-and-play with multiple STT, LLM, and TTS providers
- Support for inbound and outbound voice agents via telephony or web embeds
- Multilingual support and customizable conversation logic
Pros
- Allows instant swapping of LLMs, voices, or transcribers as better models hit the market
- "Bring Your Own Key" model avoids the usage markups typical of all-in-one platforms
- Clean, modern API with excellent documentation tailored specifically for software engineers
Cons
- Not beginner-friendly or no-code
- Costs increase as external services scale
Pricing
Usage-based, pay-as-you-go pricing with a free $10 credit, plus custom enterprise plans via annual contract.
Retell AI
Best for: Developers seeking the fastest route to convert an existing LLM into a low-latency voice agent.
Retell AI is an AI voice agent platform that lets businesses build, deploy, and manage conversational phone agents that sound human, handle inbound/outbound calls, and automate routine workflows with low latency and high reliability. It combines speech-to-text, LLM intelligence, and telephony integration into a unified system for customer service, lead qualification, scheduling, and more.
Key features
- Connects to any custom LLM backend (OpenAI, Anthropic) via WebSocket
- Visual dashboard for testing prompts and voices without code
- Built-in noise cancellation for clear audio transcription
- Supports both phone numbers and web-based audio streaming
- Detailed post-call analytics including latency breakdowns
Pros
- Visual playground enables testing ideas in minutes
- Industry-leading latency (often <800ms) for natural pacing
- Removes the need to build complex VoIP infrastructure
Cons
- Complex logic requires hosting and managing your own server
- Creates a dependency on their proprietary gateway
Pricing
No platform fees with pay-as-you-go usage pricing, plus a custom enterprise plan for high-volume teams.
Synthflow
Best for: Agencies and non-technical teams who need a no-code visual builder to automate appointment setting and lead intake.
Synthflow AI is a voice automation platform designed to help businesses automate inbound and outbound phone interactions using intuitive visual builders and enterprise-grade telephony. It combines speech recognition, natural language understanding, and human-like voice synthesis to create AI agents capable of handling real customer conversations at scale.
Key features
- Visual drag-and-drop flow builder for designing conversation paths
- Native deep integrations with GoHighLevel, HubSpot, and Zapier
- One-click appointment booking and real-time calendar syncing
- White-labeling capabilities allowing agencies to resell the software
- Pre-built templates for niche industries like real estate and dental
Pros
- Enables rapid deployment of functional agents without any coding knowledge
- Seamlessly automates post-call tasks like updating lead status in CRMs
- Agency-focused features simplify client management and resale
- Huge library of templates drastically reduces setup time
Cons
- Lacks the granular control and flexibility of code-based solutions
- Customizing complex backend logic beyond standard integrations is difficult
Pricing
Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month.
Poly AI
Best for: Large consumer brands (restaurants, hospitality, banking) needing human-like voice assistants that handle messy, complex conversations.
PolyAI distinguishes itself by building voice assistants designed for "customer-led" conversations—meaning the caller can speak freely, interrupt, tell stories, or mumble, and the AI will still understand. Unlike developer-focused tools (like Vapi) or sales-focused tools (like Air.ai), PolyAI is a managed enterprise solution. They use proprietary speech recognition models trained specifically on billions of seconds of conversational data to handle heavy accents and background noise better than off-the-shelf models.
Key features
- Proprietary speech recognition tuned for names, addresses, and noisy backgrounds
- Enables free-flowing, customer-led conversations without rigid IVR menus
- Detects frustration to trigger seamless handoffs with full context
- Native support for 120+ languages and accents in a single assistant
- Pre-built voice modules for hospitality, banking, and dining
Pros
- Handles interruptions and messy speech significantly better than competitors
- Resolves 80-90% of calls autonomously due to superior understanding
- Managed service model eliminates hallucination risks for enterprise brands
Cons
- High cost makes it unsuitable for small businesses or startups
- Closed "black box" system requiring their team for all changes
Pricing
Poly AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.
Cognigy
Best for: Large enterprises automating complex contact centers with a mix of precise NLU and Generative AI.
Cognigy is an enterprise-grade platform designed to sit directly on top of existing contact center infrastructure (like Genesys or Avaya). It distinguishes itself with a "Hybrid AI" approach, allowing businesses to combine rigid NLU for compliance-heavy tasks (like payments) with Generative AI for natural conversation. This ensures high-stakes customer service interactions are both fluid and strictly controlled.
Key features
- Visual low-code flow editor for designing complex conversational logic
- Native integration with major CCaaS platforms (Genesys, Avaya, NICE)
- Hybrid engine combining traditional NLU with Large Language Models
- Seamless "Agent Handover" that transfers full call context to human reps
- Enterprise-grade security and compliance certifications (GDPR, SOC2)
Pros
- Safely automates highly regulated enterprise processes
- Preserves context perfectly when transferring calls to humans
- Deep integrations with backend systems like SAP and Salesforce
- Scales effectively to handle massive enterprise call volumes
Cons
- Implementation is complex and often requires professional services
- Pricing and architecture are overkill for SMEs or simple use cases
Pricing
Cognigy does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.
Talkie AI
Best for: Medical clinics and healthcare providers automating patient scheduling and front-desk triage.
Talkie.ai specializes in voice assistants for the healthcare industry, serving as an intelligent virtual receptionist that handles high call volumes without human intervention. The platform focuses on simplifying patient access by autonomously managing appointment bookings, prescription refills, and routing urgent calls, while offering a user-friendly interface for non-technical staff to manage flows.
Key features
- Specialized modules for appointment booking and patient triage
- No-code visual builder for designing conversation scripts
- Seamless handover to live agents for complex medical queries
- Multi-language support to serve diverse patient populations
- Integrations with medical scheduling systems and calendars
Pros
- Drastically reduces front-desk workload and missed patient calls
- Pre-trained on healthcare scenarios for better medical context understanding
- Rapid deployment compared to general-purpose enterprise voice tools
- Ensures 24/7 availability for patient inquiries
Cons
- Heavily optimized for healthcare, making it less ideal for general retail sales
- Advanced custom integrations usually require enterprise-tier setups
Pricing
Talkie AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.
How to choose an AI voice automation platform for your business
Choosing the right AI voice automation platform comes down to understanding how it will fit into your team, your workflows, and your growth plans. These questions will help you evaluate options in a practical, business-focused way.
1. Will your team need a no-code tool or a developer-first platform?
This matters because the people building and maintaining the system determine how quickly you can launch and improve it. If your team is non-technical, a no-code platform lets you move faster. If you have engineers and need deep customization, a developer-first tool gives you more flexibility long term.
2. How many calls do you need to support now and as you grow?
Call volume affects both cost and performance. A platform that works well at a small scale may become expensive or unreliable as usage increases, so it is important to choose something that can grow with your business without surprises.
3. How complex do your conversations and workflows need to be?
Some businesses only need straightforward call flows, while others require integrations, branching logic, or real-time actions. The more complex your workflows are, the more important it is to choose a platform that can handle real conversations rather than rigid scripts.
4. How important are voice quality and response speed for your use case?
Natural speech and quick responses make a big difference in how callers perceive the experience. If the AI sounds robotic or pauses too long, it can reduce trust and engagement, especially in customer-facing roles like sales or support.
5. Does the pricing model align with how you plan to use the platform?
Pricing structures vary widely between platforms. Understanding whether you are paying per minute, per call, or per feature helps you estimate costs accurately and avoid unexpected increases as your usage grows.
Try Plivo Free
Exploring AI voice automation should feel straightforward and low-risk. Plivo lets you start with a free trial and complimentary credits so you can test real voice automation use cases without any upfront commitment.
You can create and run AI-driven phone calls using Plivo’s visual tools or APIs, allowing you to see how automated voice interactions behave in real conditions. This includes testing inbound call handling, outbound call flows, and multi-channel automation across voice, SMS, and WhatsApp, all using your own workflows and data.
Starting with a free trial gives you the flexibility to validate performance, reliability, and fit before deciding how extensively you want to adopt AI voice automation across your business.
Start your free trial and build your first AI voice automation experience today.

8 Best AI Voice Agents for Recruitment in 2026
Discover the 8 best AI voice agents for recruitment in 2026. Compare features, use cases, and pricing to automate candidate screening and hiring.
8 Best AI Voice Agents for Recruitment in 2026
Recruitment teams don’t struggle because they lack applicants. They struggle because every job post brings in hundreds of responses, many of them unqualified, and screening them all takes time recruiters don’t have.
AI voice agents help by handling the repetitive, early-stage conversations - screening candidates over the phone, asking the right questions, and routing qualified applicants forward - so recruiters can focus on real hiring decisions.
In this guide, we’ve curated the top AI voice agents for recruitment, based on what actually matters. Let’s begin.
A Quick Overview of the Top AI Voice Agents for Recruitment
Top 8 AI Voice Agents for Recruitment
Plivo
Best for: Recruitment teams and hiring platforms that want to run real AI voice agents on actual phone calls, not demos or chat-only experiences.
Plivo is a voice-first AI agent and cloud communications platform built to automate real phone conversations at scale. Unlike many AI voice tools that depend on external telephony providers, Plivo owns and operates its telephony, messaging, and AI layers as a single stack. This gives teams more consistent call quality, lower latency, and better reliability as volume increases.
For recruitment use cases, this matters because screening calls, qualification conversations, and candidate follow-ups need to work predictably. Teams can start quickly using Plivo’s no-code AI agent builder, Vibe, and then add deeper programmable control through APIs as workflows grow more complex, without switching platforms.
Plivo is trusted by Fortune 500 companies worldwide, delivers 99.99% uptime, and complies with standards such as HIPAA, GDPR, SOC 2, PCI DSS, and STAR, making it suitable for high-volume and regulated hiring environments.
Key features
- Build AI voice agents on real phone calls: Plivo lets teams build AI agents that answer, route, qualify, and complete conversations on inbound and outbound phone calls using its native voice infrastructure.
- No-code AI agent builder (Vibe): Vibe allows teams to create and deploy AI voice agents using plain-English instructions. Recruiters can define goals, workflows, and actions without writing code, then iterate as hiring needs evolve.
- Built-in telephony (not third-party): Phone numbers, global connectivity, call routing, recording, and SIP trunking are native to Plivo. This avoids reliance on external carriers and helps maintain low latency and high uptime.
- Real-time audio streaming: Plivo streams live call audio over WebSockets to AI runtimes, enabling low-latency speech recognition and responses, natural turn-taking, and interruption handling during conversations.
- Programmable voice and messaging APIs: Well-documented APIs and SDKs give teams full control over calls, messages, verification, number masking, and workflows, making it easy to integrate AI agents with ATSs, CRMs, and internal systems.
- Multi-channel AI conversations: The same agent logic can run across voice, SMS, WhatsApp, and chat, with shared context across channels so candidates do not have to repeat themselves.
Pros
- Reliable performance at scale: Users consistently cite stability and uptime, even with high call volumes.
- Strong telephony control: Teams value having direct ownership of routing, numbers, and call behavior.
- Flexible for both no-code and API users: Works well for recruiters and engineering teams alike.
Cons
- More capability than very simple use cases require: Smaller teams may not use the full platform depth.
- Advanced workflows benefit from upfront planning: Complex agent logic requires thoughtful setup.
Pricing
Plivo offers pay-as-you-go pricing on the Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.
Lindy
Best for: Recruiting teams that want a flexible, AI voice agent to handle candidate calls, follow-ups, and interview scheduling without heavy engineering work.
Lindy is an AI agent platform that lets recruiters deploy voice-enabled AI assistants to manage candidate communication across phone calls, calendars, and workflows. Rather than being a pure telecom infrastructure provider, Lindy focuses on task-oriented AI agents that can talk to candidates, coordinate schedules, and take action across tools like email and calendars. This makes it especially useful for lean recruiting teams that want automation without building everything from scratch.
Key features
- Place and receive natural-sounding phone calls with candidates for screening, follow-ups, and confirmations
- Coordinates availability and books interviews directly on connected calendars
- AI agents can call candidates, send emails, update records, and trigger next steps automatically
- Connects with calendars, email, and internal tools to keep recruiting workflows in sync
- Escalates conversations to a recruiter when the AI detects uncertainty or complex questions
Pros
- Recruiters can launch AI voice workflows without deep technical setup
- Especially effective for scheduling, rescheduling, and candidate follow-ups
- Can reason across steps instead of just asking static screening questions
Cons
- Lacks deep hiring metrics or ATS-native reporting
- Less granular call routing and voice infrastructure control than CPaaS platforms
Pricing
Lindy offers a free plan with 400 credits per month. Paid plans start at $49.99 per month.
Twilio
Best for: Engineering-led recruiting teams that want to build highly customizable AI voice agents on top of enterprise-grade voice and messaging infrastructure.
Twilio is a cloud communications platform that provides programmable APIs for voice calls, SMS, and messaging. In recruitment, it’s often used as the underlying infrastructure for AI voice agents that handle candidate screening calls, interview scheduling, reminders, and follow-ups. Rather than offering ready-made recruiting agents, Twilio gives teams the building blocks to design custom voice workflows tailored to their hiring process.
Key features
- Twilio lets you design exactly how calls are placed, routed, recorded, and escalated, giving full control over the candidate calling experience.
- Built-in support for international phone numbers, SMS, and voice delivery makes it suitable for distributed or global hiring.
- Twilio integrates cleanly with speech-to-text, text-to-speech, and large language models to power conversational AI agents.
- Voice events can trigger downstream actions in ATSs, CRMs, calendars, or internal systems.
Pros
- You’re not constrained by predefined workflows—every part of the voice experience can be tailored to your hiring process.
- Designed to handle high call volumes with strong uptime and telecom stability.
- Suitable for advanced or global recruiting operations where off-the-shelf tools fall short.
Cons
- Building an AI voice recruiter with Twilio requires technical resources and ongoing development.
- As call volume and automation increase, usage-based pricing can become expensive.
Pricing
Usage-based, pay-as-you-go pricing starting at roughly $0.008–$0.014 per minute for voice calls, with additional costs for phone numbers and advanced features.
HeyMilo
Best for: Recruiters and staffing teams that want AI-powered voice interviews and automated candidate screening at scale.
HeyMilo is a recruitment platform built around conversational AI voice and multimedia interviewing, designed to automate candidate engagement, screening, evaluation, and structured interviews. Instead of just asking preset questions, HeyMilo’s AI adapts dynamically to candidate responses and delivers data-backed insights tailored to each role.
Key features
- Natural two-way spoken interviews that adapt to candidate responses and assess fit.
- Contacts applicants via phone, web voice/video, SMS, email, and WhatsApp.
- Provides structured interview reports and scoring to inform hiring decisions.
- Works with existing applicant tracking and HR systems to sync data.
- Enables interviews and outreach in multiple languages for global recruiting.
Pros
- Can conduct hundreds of interviews simultaneously, easing burden on recruiters.
- Automated scoring and structured interviews help reduce manual variation.
Cons
- AI may struggle with very open-ended or highly contextual responses that a human interviewer would catch.
- Teams need to configure questions and scoring to fit specific roles and workflows.
Pricing
HeyMilo does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.
Synthflow
Best for: HR departments at mid-sized companies looking to automate interview scheduling and FAQ handling.
Synthflow is a no-code conversational AI platform that lets users design, launch, and manage AI voice agents to automate phone interactions. Rather than providing a ready-made recruiter bot, Synthflow gives teams a visual builder where they can create custom voice workflows. It emphasizes flexibility and usability, making it suitable for recruiting teams that want to own their own voice agent logic without writing code.
Key features
- You can design modular voice flows with a no-code builder where specialized "subflows" act as independent agents to manage complex logic, such as a "Verification Agent" for candidate ID or an "Appointment Agent" for booking interviews.
- Provides enterprise-grade telephony integrations to ensure reliable inbound and outbound calling.
- A dedicated environment to test recruitment scripts and agent responses before they go live with real candidates.
- Offers live insights into active calls, allowing recruitment managers to track performance and candidate engagement as it happens.
- Allows for the refinement of the AI’s underlying data to ensure the recruiter's brand voice and industry-specific terminology are accurate.
Pros
- Teams can build and iterate voice agents without engineering resources.
- Works for screening, candidate engagement, follow-ups, and scheduling.
- Built to manage higher call volumes as hiring needs grow.
Cons
- Requires manual building of hiring-focused flows and templates.
- Deep conversational logic and integration workflows benefit from thoughtful design and testing.
Pricing
Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month.
CloudTalk
Best for: Teams that need a cloud-based calling platform with AI voice agents and automation.
CloudTalk is a cloud call center platform that combines VoIP calling with AI-powered automation and voice agents. While it’s not built exclusively for recruitment, its AI voice agents, smart dialers, and call routing features make it well-suited for hiring teams that rely heavily on phone communication. Recruiters can use CloudTalk to automate outbound candidate calls, handle inbound inquiries, and track call performance through built-in analytics and conversation intelligence.
Key features
- Virtual voice agents that can autonomously answer and place calls, handle routine interactions, and support self-serve caller experiences.
- Dialers, automated routing, IVR menus, and parallel dialing to manage large outbound and inbound call volumes.
- Local numbers in 160+ countries with VoIP calling, SMS, and messaging options.
- Connects with CRMs, helpdesks, and workflow systems for synced activity and inbox-to-call continuity.
Pros
- Combines calling, campaign automation, and AI workflows in a single system.
- Support for international numbers and multi-region operations.
- Built-in conversation intelligence and analytics help teams understand patterns and coach more effectively.
Cons
- It’s primarily a call center and sales/support voice platform, so recruiters may need extra configuration for hiring use cases.
- Broad call center capabilities can overwhelm teams only seeking simple voice agent recruiting tools.
Pricing
CloudTalk offers user-based subscription plans for its core calling platform, starting at $25 per user/month when billed annually, with higher tiers adding advanced features like analytics and automation.
Talvin
Best for: Hiring teams that want an AI voice recruiter focused on structured screening and automated reference checks, not just interview scheduling or call automation.
Talvin is an AI recruitment platform built around voice-based candidate screening and reference checks. Its AI conducts structured, conversational interviews over voice to assess communication, experience, and role fit, then follows up with automated reference calls to gather standardized feedback. Talvin is positioned less as a general-purpose voice agent and more as a screening and validation layer that helps recruiters qualify candidates before human interviews.
Key features
- Talvin conducts structured phone interviews to assess candidate fit early, so recruiters aren’t reviewing unqualified applicants.
- Instead of manual follow-ups, Talvin collects reference feedback automatically and delivers it in a standardized format.
- Interview questions and scoring are tailored to each role, keeping evaluations consistent across candidates.
- Recruiters receive clear interview and reference reports rather than raw call recordings.
Pros
- Designed specifically to screen and validate candidates, not just move them through a funnel.
- Eliminates one of the most time-consuming and error-prone steps in hiring.
- Standardized interviews and references make it easier to compare candidates objectively.
Cons
- Not intended for outreach campaigns, scheduling-only workflows, or high-volume dialing.
- Often paired with an ATS or sourcing platform rather than used end-to-end.
Pricing
Talvin’s plans start at $175/month and scale up to $750/month, based on interview volume and hiring needs.
VoiceFlow
Best for: Product-led recruiting teams that want to design and control the logic of AI voice conversations before deploying them on phone calls.
Voiceflow is a collaborative platform where teams design, develop, and launch AI agents using their preferred models and integrations. In practice, you build an agent by first creating a knowledge base, then adding workflows that define what the agent should do, integrating third-party tools through APIs, and finally launching the agent through Voiceflow’s web chat UI or the Dialog API.
For recruitment, this is useful when you want an agent that can answer candidate questions, guide screening conversations, and trigger workflow steps like collecting details, confirming availability, or handing off to a human, all while staying consistent with your hiring process.
Key features
- Import documents and data so the agent answers using curated, controlled information rather than guessing.
- Create multi-step tasks the agent can complete, so conversations can lead to actions, not just responses.
- Connect the agent to third-party services using Voiceflow Functions and API blocks.
- Deploy using Voiceflow’s web chat UI or build your own interface using the Dialog API.
- Designed for teams to build and iterate together, rather than working in isolated scripts.
Pros
- Strong control over how screening and interview conversations are structured.
- Teams can refine conversations without touching telephony systems.
- Recruiters, designers, and product teams can work together on flows.
Cons
- Requires a telephony platform to place and receive calls.
- Teams must design screening logic from scratch.
Pricing
Voiceflow offers a free Starter plan, with paid plans starting at $60/month (Pro) and $150/month (Business), while Enterprise pricing is custom for high-volume teams.
Questions to ask before choosing an AI voice agent for recruitment
1. Who actually owns the calling infrastructure?
When evaluating an AI voice agent, one of the first things to understand is how calls are handled behind the scenes. Some platforms rely heavily on third-party telephony providers, while others manage their own calling infrastructure more directly.
This distinction matters because it affects call quality, routing control, and reliability as usage grows. Tools with tighter control over their telephony stack tend to behave more predictably, especially when call volume increases or issues need to be diagnosed quickly.
2. Does the agent respond quickly enough to feel natural?
Voice conversations depend on timing. Even small delays between a candidate’s response and the agent’s reply can make the interaction feel uncomfortable or disjointed.
A well-designed AI voice agent should respond promptly and consistently throughout the conversation. This usually reflects how well speech recognition, language processing, and voice generation work together in real time. If responses feel slow or uneven during a demo, that friction will likely show up even more in real recruiting scenarios.
3. Is the product actually designed for recruitment conversations?
Recruitment is not a generic use case. Screening candidates requires structured questions, follow-ups based on previous answers, and clear decision points about what happens next.
Some voice agents are flexible but require significant customization to support hiring workflows. Others are built with recruitment logic in mind from the start. The difference shows up in how easily the agent can handle screening, availability checks, and smooth handoffs to human recruiters.
4. How does it handle things going off script?
Real conversations are rarely perfect. Candidates interrupt, misunderstand questions, or give incomplete answers.
An effective AI voice agent should be able to handle these moments without breaking the experience. This includes asking for clarification, continuing the conversation naturally, or exiting gracefully when needed. Systems that cannot manage these situations tend to feel fragile in real-world use.
5. Will it still work when hiring volume increases?
Hiring needs fluctuate. A tool that performs well for a small number of calls may struggle when activity ramps up.
It is important to understand how the platform behaves under higher load, both technically and operationally. This includes call quality, reliability, and whether usage scales in a predictable way. A system that handles growth smoothly allows recruiting teams to expand outreach without introducing new problems.
Try Plivo free
Getting started with AI voice agents for recruitment doesn’t need to be complicated or risky. With Plivo, you can sign up for a free trial account and get free credits to test real AI-powered phone calls, without committing upfront or changing your existing hiring workflows.
You can experiment with live screening calls, candidate follow-ups, and interview coordination using Plivo’s no-code tools or APIs. This lets you simulate real recruiting scenarios with your own data and logic before deciding how deeply you want to scale automation across voice, SMS, and WhatsApp.
Get started with your free trial today and begin building your first AI voice agent for recruitment.
FAQs
What is an AI voice agent in recruitment?
An AI voice agent is a system that conducts phone conversations with candidates to handle tasks like screening, availability checks, and interview scheduling.
Can AI voice agents replace recruiters?
No. They are designed to support recruiters by automating repetitive early-stage tasks, not to replace human decision-making.
Are AI voice agents reliable for candidate screening?
They work well for structured, rule-based screening, but nuanced evaluation and final decisions should still be handled by humans.
What should companies look for when choosing an AI voice agent?
Key factors include call quality, response speed, recruitment-specific workflows, and the ability to scale reliably with hiring volume.

Best AI Voice Agents for E-commerce (2026): Top Platforms Compared
Compare the best AI voice agents for e-commerce in 2026. See which platforms handle real calls, integrate with your stack and scale reliably.
Best AI Voice Agents for E-commerce (2026):
Top Platforms Compared
E-commerce brands don’t lose customers because of poor products, they lose them because conversations aren’t fast enough. Buyers now expect real-time assistance for order status, delivery issues, returns and payments, often beyond business hours.
That’s where AI voice agents help. Unlike IVRs or basic bots, modern voice agents can understand natural speech and intent, answer calls instantly, pull order data from your systems, resolve common issues and hand off to humans when needed. For e-commerce teams, this means fewer missed calls, lower support costs, and faster resolution.
This list has analysed the best AI voice agents for e-commerce in 2026, focusing on how they actually perform in production, what role they play in your stack and which types of teams they truly fit.
Platform Comparison
Top 10 AI voice agents for E-commerce (2026)
Plivo
Primary Role in Your E-commerce Stack
- Acts as a backbone for customer-facing automation across order status, delivery issues, returns, COD confirmations and payment follow-ups.
- Replaces basic IVRs and overflow call handling with actual AI-driven conversations that feel natural and can resolve issues or escalate intelligently.
- Serves as an AI voice agent platform and a communications layer, not just a pre-programmed bot or a basic call tool.
How It Works in Practice
- Runs on native, carrier-grade telephony not dependent on third-party calling plugins, thus reducing latency and call failures.
- Supports real-time inbound and outbound voice, including barge-in, transfers, call recording and queueing.
- Lets you build custom voice agents using no-code instructions (Vibe) or programmatically via Voice, SMS and WhatsApp APIs.
- Handles multi-channel engagement from one platform, making it easier to maintain customer context.
- Integrates into backend systems via webhooks and APIs, so agents can fetch order data, update CRMs, trigger refunds or log tickets.
- Scales globally with direct carrier connectivity and 99.99% uptime, which matters during sales spikes and seasonal traffic.
- Offers easy integrations with CRMs and data tools and e-com apps like Shopify and WooCommerce.
Smart choice if you
- Need reliable, real-time voice automation for customer support or sales in e-commerce.
- Need HIPAA, GDPR, PCI DSS, SOC 2 compliance.
- Want to avoid handling different telephony, AI and messaging vendors.
- Expect call volume spikes during promotions, launches or holidays.
- Plan to expand beyond voice into SMS or WhatsApp without changing platforms.
Not a fit if you
- Only want a simple chatbot or basic call routing with no backend logic.
- Need a fully packaged, zero-configuration voice bot with no customization.
- Don’t plan to use voice as a serious support or revenue channel.
- Want built-in analytics dashboards without integrating your own reporting tools.
Aircall
Primary Role in Your E-commerce Stack
- Aircall is a cloud-based business phone and customer communications platform that encapsulates voice calls, messaging, contact-center workflows and AI-powered tools to help sales and support teams manage inbound and outbound customer conversations from a single hub.
- Designed to replace traditional desk phones and stand-alone VoIP systems with a modern unified system that supports direct calling, routing, conferencing and analytics without infrastructure.
- Aircall’s AI Voice Agent sits within the platform to automate basic call handling, answer inbound calls using natural language, capture caller details and hand off to humans with customer context.
How It Works in Practice
- Its AI Voice Agent can handle inbound calls 24/7, respond using natural language, capture caller details or FAQs, and escalate with context.
- Aircall’s broader AI tooling (often sold as an add-on) includes call summarization, transcription, sentiment analysis, action items, key topic recognition and real-time coaching insights to boost team performance and intelligence.
- Aircall integrates deeply with CRMs and helpdesk tools such as Salesforce, HubSpot, Zendesk, Shopify, Gorgias, Intercom, Zoho, Slack and more.
- Supports smart call routing, IVR menus, queueing, power dialers and contextual pop-ups that help agents see caller history and reduce manual steps.
- In addition to voice calls, Aircall can connect WhatsApp messaging with your phone numbers, allowing teams to manage calls, texts, voicemails and WhatsApp messages from one unified workspace.
Smart choice if you
- Want a cloud phone system that replaces traditional telephones and integrates voice + messaging + CRM in one place.
- Are an SMB or mid-market team looking for easy setup and deep CRM/helpdesk integration with real-time call logging and analytics.
- Want AI insights such as call summaries, sentiment analysis and action items tagging to support coaching and quality.
Not a fit if you
- Are looking for standalone, autonomous voice agents that can handle complex transactional workflows (like order lookup, 2-way payment flows, or deep e-commerce logic) without human reliance. A lot of features in Aircall are paid add ons.
- Want carrier-grade telephony control with full low-level API access.
- Require multi-channel unified conversational state that seamlessly moves between voice, SMS, WhatsApp, and web chat without separate configurations. Aircall integrates channels but isn’t designed as an omnichannel conversational AI platform at the same depth as standalone bot stacks.
Dialpad AI
Primary Role in Your E-commerce Stack
- Dialpad is an AI-enhanced unified communications and contact-center platform built on VoIP telephony that combines voice calls, messaging, meeting tools and AI insights into one app.
- Its AI layer focuses on increasing support and sales team productivity by transcribing calls, summarizing conversations, analyzing sentiment and providing live assistance to human agents rather than purely replacing them.
- For e-commerce teams, Dialpad helps streamline customer support calls, sales conversations and agent workflows.
How It Works in Practice
- Dialpad’s AI layer is built into its communications platform so transcription, summaries, sentiment tagging and insights happen automatically during calls and meetings.
- Live coaching and assist cards support tailored guidance during conversations, helping teams improve performance and consistency.
- Its AI Agent and Generative AI features can provide answers from integrated knowledge bases and assist with repetitive tasks like scheduling or information lookups. Although this operates within a supervised environment rather than as a fully autonomous consumer voice bot.
- Dialpad integrates with CRMs and support systems such as Salesforce, Zendesk, and others allowing call data and AI insights to sync into broader e-commerce workflows but developers/administrators need to configure these links during setup.
Smart choice if you
- Want a combined AI-assisted communications and contact-center platform that brings voice, meetings and messaging into a single system with powerful transcription and insights.
- Run a support or sales team that benefits from live coaching, post-call summaries, sentiment analysis, and automated QA workflows.
- Are okay with a human-centric workflow where AI helps agents rather than fully automates customer calls end-to-end.
Not a fit if you
- Want a standalone autonomous voice agent that handles inbound and outbound calls entirely without human support.
- Need native telephony automation APIs for deep programmatic control or highly customized voice bots.
- Require multi-channel conversational continuity across voice, SMS, WhatsApp and other messaging in a single automated AI experience.
Voiceflow
Primary Role in Your E-commerce Stack
- Voiceflow is a collaborative low-code/visual AI agent platform that helps teams build and deploy custom voice and chat agents without heavy engineering. Designed to automate customer conversations from support to transactional workflows using drag-and-drop flows and business data logic.
- Voiceflow puts the workbench in your hands, giving you control over conversational design, logic, and integrations across channels.
- In e-commerce, Voiceflow is often used for support hotlines, FAQ automation, lead qualification, virtual assistants and prototype voice interactions especially where you want custom behavior tied to backend systems.
How It Works in Practice
- You design conversations using a visual workflow canvas that supports branching logic, variables and external API calls making it easier to map complex dialogues.
- Agents can be trained on your business data like product info, order records, policies via a scalable vector database.
- Voiceflow doesn’t host telephony itself; instead it connects through providers like Twilio or Vonage so your voice agent can receive inbound calls and make outbound calls.
- Voiceflow supports team collaboration, shared templates and component reuse so designers and developers can iterate rapidly.
Smart choice if you
- Want a no-code/low-code platform to design voice and chat workflows without deep engineering.
- Need highly customized conversational logic tied to your backend systems or data.
- Run cross-functional teams that must collaborate on agent design and iteration quickly.
- Plan to automate support workflows, order inquiries, FAQs or lead capture across voice and chat.
Not a fit if you
- Need out-of-the-box telephony automation with native phone infrastructure. Voiceflow relies on third-party telephony providers.
- Want a fully autonomous voice agent that runs on phone lines without manual integration setup.
- Require production-ready voice performance metrics or carrier-grade latency guarantees.
- Are focused on voice only without chat or UI context.
Cognigy
Primary Role in Your E-commerce Stack
- Enterprise grade conversational AI platform designed to automate complex customer interactions across voice, chat and messaging by building intelligent AI agents that understand, decide and resolve user intent.
- It’s commonly used in contact centers, service automation and omnichannel workflows where customers use multiple channels (voice, text, social) and expect consistent responses.
- For e-commerce, Cognigy helps automate service touchpoints like support conversations, order inquiries, returns handling and FAQs with AI agents that can grasp intent and navigate conversations dynamically.
How It Works in Practice
- Cognigy uses Generative AI, NLP and machine learning to build agents that do more than keyword matching. They can reason through dialogue, recall context and pursue goals within interactions.
- Agents can be deployed across voice calls, chat widgets, messaging and social platforms with shared logic, enabling seamless context.
- Cognigy supports multilingual interactions supporting 100+ languages and large concurrent loads of 25K+ interactions, making it suitable for global e-commerce brands managing peak traffic.
- Built-in dashboards and data feeds (OData) let teams monitor performance metrics, conversation flows and optimize based on real usage.
Smart choice if you
- Need robust omnichannel AI automation across voice, chat and messaging with shared logic.
- Operate a large, international e-commerce operation with high volume and multilingual support requirements.
- Want enterprise-grade integration with existing contact center systems, CRM, ticketing tools and backend APIs.
- Have a technical team or partner to configure, train and maintain sophisticated AI workflows.
Not a fit if you
- Need a standalone plug-and-play voice bot.
- Your priority is simple, requiring phone-only automation.
- You want the fastest path to production with zero customization, setup and customization of NLU, dialogs and backend connections take planning and expertise.
Talkdesk
Primary Role in Your E-commerce Stack
- Talkdesk is a cloud contact center and customer experience automation platform that helps businesses manage and optimize customer interactions across voice, chat, SMS and digital channels from one unified system. It’s a full CX automation ecosystem with AI agents layered in for intelligent self-service and agent support.
- The platform’s core mission is to automate customer experience workflows end to end, reducing manual work and improving resolution times while keeping context and empathy in place.
- For e-commerce teams, Talkdesk is often used to handle support hotlines, returns calls, order inquiries, live agent augmentation and self-service using both human and AI capabilities.
How It Works in Practice
- Talkdesk’s Autopilot and AI Agents use generative AI and conversational intelligence to automate self-service across voice and other channels 24/7. They can interpret customer intent, respond naturally and escalate when needed.
- Built-in tools like Talkdesk Navigator help with real-time routing and prioritizing inquiries based on context and integrations with CRMs and backend systems let agents retrieve and update order or customer data during automation.
- The platform includes call monitoring, analytics, sentiment scoring and performance insights to help teams improve support quality and train agents more effectively.
Smart choice if you
- Need an enterprise-grade contact center platform that blends automation with human support across channels.
- Want AI-assisted self-service and agent augmentation rather than just basic scripted bots.
- Run support or service teams with high call volumes where routing, analytics and quality management are key.
Not a fit if you
- Are looking for a standalone e-commerce voice bot system. Talkdesk is primarily a contact center platform with AI layers.
- Want simple phone automation without broader CX complexity.
- Need lightweight plug-and-play voice bots with minimal integration work.
Five9
Primary Role in Your E-commerce Stack
- Five9 is a cloud-based contact center platform aimed at automating and optimizing customer service interactions across voice, chat, SMS and other channels. At its core, it helps brands deliver connected, personalized experiences at scale using AI and unified CX tools.
- Its Intelligent Virtual Agent (IVA) and AI Agents are conversational automation layers that can handle self-service interactions like routine inquiries.
- For e-commerce, Five9 is typically used to automate order status, FAQs, returns and basic support calls, functioning as shared infrastructure for AI support rather than a standalone voice-only bot.
How It Works in Practice
- Five9’s AI Agents and Intelligent Virtual Agent (IVA) use conversational AI and natural language understanding to automate routine interactions across voice and digital channels.
- AI Agents combine generative AI, NLP and conversational logic to detect intent, extract key details, tap knowledge integration and deliver customized responses reducing the need for human intervention on routine issues.
- Five9’s IVA builder offers no-code visual workflows and templates so non-technical teams can configure self-service paths for common scenarios like order lookup, appointment scheduling and password resets.
- Voice quality and presentation are improved with tools like Virtual Voiceover, which can generate high-fidelity, human-sounding speech prompts on the fly, including custom branded voices.
Smart choice if you
- Need a cloud contact center platform that can centralize voice and digital support and automate repetitive inquiries across channels.
- Want conversational AI that blends generative responses with scripted logic and can escalate smoothly to human agents.
- Care about multi-modal customer journeys that span across voice, chat, SMS and rich media in a unified experience.
Not a fit if you
- Are looking for a standalone, lightweight voice‐only AI bot that you can launch with minimal integration.
- Want to own telephony infrastructure or programmable telephony APIs. Five9 is a packaged cloud service, not a telephony-centric CPaaS.
- Need simple DIY voice automation for a small e-commerce team without contact center context.
Kore.ai
Primary Role in Your E-commerce Stack
- Enterprise grade conversational AI platform designed to build, deploy and manage intelligent AI agents across voice, chat and digital channels with focus on service automation, workflow orchestration and customer support experiences.
- It supports brand-aligned, natural voice interactions capable of understanding context, interruptions and topic changes for realistic conversations.
- For e-commerce, Kore.ai offers Retail-focused AI solutions that help deliver 24/7 self-service, answer product and order queries and assist with purchase decisions without human agents.
How It Works in Practice
- Agents can operate on voice calls, chat, messaging apps and contact center systems while preserving conversation context across channels.
- The platform includes a visual AI agent builder and orchestration tools, letting both business users and developers design and manage intelligent workflows.
- Kore.ai provides a marketplace with 200+ pre-built enterprise templates to speed up deployment and reduce development time.
- Supports deep integrations with data sources, CRM and backend systems so agents can retrieve, update and act on real business data.
Smart choice if you
- Want a powerful, enterprise-grade conversational platform that lets you build custom, complex voice and chat automations across channels.
- Need deep integrations with backend systems, CRM or order management data so AI can handle conditional logic in real customer workflows.
- Have technical resources to configure, extend and govern AI agents for complex business logic.
Not a fit if you
- Want a prebuilt, lightweight plug-and-play AI voice bot for simple e-commerce queries with minimal integration.
- Need standalone telephony infrastructure or a voice bot you can launch in minutes without orchestration tooling.
- Are looking for pure voice automation without multichannel context or engineered workflows.
Replicant
Primary Role in Your E-commerce Stack
- Replicant is an enterprise-grade conversational AI platform designed to automate routine customer interactions across voice, chat and SMS. Supports worflow in high-volume support environments where call center load is heavy and manual handling slows response times.
- Its AI agents aim to resolve inbound customer interactions autonomously using natural language understanding and context-aware dialogue to mimic human responders.
- For e-commerce, this means it can handle order inquiries, returns, delivery status, account questions and FAQs without human agents for the bulk of interactions, freeing up seniors for complex cases.
How It Works in Practice
- The platform’s “Thinking Machine” uses speech recognition (ASR), natural language understanding (NLU) and agentic reasoning to interpret and act on customer speech in real time.
- Replicant can automatically handle inbound voice calls by listening, replying, asking for follow-ups and escalating when needed, aiming to resolve up to 80% of interactions without human intervention.
- The platform encapsulates conversation intelligence, automated Q&A along with insights into performance, turning every conversation into actionable data to offer better service quality and AI behavior over time.
- Replicant projects often go from pilot to production in weeks with pre-built conversational components.
Smart choice if you
- Need 24/7 automation of high volumes of inbound customer calls and messages with a single conversational engine.
- Have complex support workflows including returns, order changes, delivery status, account questions and need reliable voice automation without building from scratch.
- Operate at mid-to-enterprise scale where automation can dramatically cut handling times and want to reduce load on human agents.
Not a fit if you
- Only need lightweight or simple automation. Businesses that want a basic interactive voice bot with minimal backend integration may find Replicant overbuilt.
- Don’t plan to integrate with existing CRM/order systems.
- Want an extremely cheap, no-setup-required solution.
Ada
Primary Role in Your E-commerce Stack
- Ada is an AI customer experience platform built to automate service interactions using AI customer service agents that resolve inquiries across channels such as chat, voice, email and messaging. It’s designed as an omnichannel self-service automation platform rather than a simple scripted bot.
- The core platform lets brands deploy AI agents that autonomously resolve questions, reducing reliance on human agents for repetitive support and freeing up teams to focus on complex e-commerce tasks.
- Unlike narrow chatbots, Ada’s agents are built to interpret context, manage multi-step processes and handle inquiries across multiple languages and channels.
How It Works in Practice
- Users can build Playbooks (guided SOPs) that instruct AI how to handle specific multi-step processes at scale and refine these based on testing and feedback.
- Supports 50+ languages and is designed so that agents learn and improve through simulations, real-world performance analysis and optimization tools.
- You can simulate conversations, test variations, analyze outcomes and optimize agent behavior before and after launch, giving more control over performance outcomes.
- Though it doesn’t have telephony-native to its own, Ada provides open APIs and backend connectors for integrating CRM, order systems and e-commerce platforms to fetch and act on real customer data during interactions.
Smart choice if you
- Want AI customer service automation across channels with the same logic and context continuity.
- Need to reduce support costs and handle volume spikes without scaling human teams.
- Value multilingual support and contextual reasoning above rigid script-based replies.
- Prefer tools with visual Playbooks and optimization workflows that don’t require deep coding.
Not a fit if you
- Want true telephony-native voice automation. Ada typically integrates with voice channels rather than running native telephony infrastructure.
- Are looking for a simple, lightweight voice bot with minimal configuration.
- Need ultra-low-latency, call-centric performance guarantees.
FAQs
- What can an AI voice agent realistically handle today?
AI voice agents can handle order status checks, delivery updates, return/refund questions, COD confirmations, appointment scheduling, basic FAQs and call routing. Complex disputes, escalations or edge cases are recommended to move to a human agent.
- Do I need to replace my entire support team to use AI voice agents?
No. most teams use AI voice agents as a first line of response to handle volume and after-hours calls. Human agents step in only when needed with full context delivered from the AI conversation.
- How hard is it to set this up for an e-commerce business?
It depends on the platform. Some tools require stitching together telephony, bots and integrations. Others provide native voice, APIs and messaging in one system. Expect anything from a few days for basic flows to a few weeks to make deep integrations.
- Can AI voice agents connect to my order system or CRM?
Yes, if the platform supports APIs or native integrations. This is critical for real use cases like fetching order status, logging calls or updating tickets. Without backend access, voice agents are limited to surface-level conversations.
- Is voice really better than chat for e-commerce support?
Voice may not be better for everything but it’s prompt and efficient for urgent issues. Customers call when orders are delayed, payments fail or something goes wrong. AI voice agents help you answer instantly instead of losing the customer to hold music.
The Most Practical Path to Voice Automation at Scale
Most AI voice tools look impressive in demos but struggle when real customers call at high volumes. The difference comes down to infrastructure. Platforms that rely on stitched-together telephony, bots and messaging often break under load or add operational complexity.
Plivo works because it starts at the network layer. With native telephony, global carrier connectivity across 190+ countries and AI agents that run across voice, SMS, WhatsApp and chat, it’s built for real customer conversations. You can launch fast with no-code tools, integrate deeply via APIs when needed and scale on usage-based pricing without any long-term lock-ins.
If your e-commerce team wants reliable voice automation that actually works in production, not just another tool to manage, this is the most balanced and future-proof choice going into 2026.
Try Plivo Free
Getting started with Plivo is simple, quick and comes with no strings attached. You can sign up for a free trial account and get free credits to explore the platform’s voice, SMS, chat and WhatsApp capabilities before buying credits or subscribing to the platform.
You can experiment with API calls, add phone numbers and build or test workflows using Plivo’s no-code tools helping you simulate real-life use cases like AI voice agents, automated messaging or multi-channel engagement with your own data and logic.
Get started with your free trial now and begin building your first insurance agent today.

Choosing an AI Voice Agent in 2026: A Practical Comparison for Local D2C/Consumer-services Brands
Compare the best AI voice agents for D2C/Consumer-services businesses in 2026. See which platforms handle real calls, integrate with your stack and scale reliably.
Comparison for Local D2C/Consumer-services Brands
For local D2C and consumer-services businesses, the power of an AI voice agent lies in its ability to directly impact your bottom line, specifically through conversion recovery, logistics automation, and immediate lead qualification. If your current system can’t instantly call back an abandoned cart user, verify a COD order to prevent expensive RTOs, or seamlessly integrate with your inventory to give real-time stock answers, it’s not a scaling tool; it's just a glorified answering machine.
This guide is built for the operator who is ready to commit to AI voice in 2026. We cut through the marketing noise to compare platforms based on what truly matters: speed-to-deployment, how effectively they handle high-intent sales conversations without breaking, and their capability to integrate with and automate your e-commerce platform and CRM, ensuring the agent acts as a profit center, not a management burden.
Let’s get started.
Best Platforms to Build AI Voice Agents for Local D2C Businesses (2026)
Plivo : The Vertically Integrated Choice for Scaling D2C
For D2C businesses transitioning from a startup phase to high-volume operational scale, the biggest bottleneck is infrastructure reliability. Plivo is positioned uniquely not just as an AI tool, but as a full-stack architecture built for the enterprise demands of a scaling e-commerce brand. It removes the risk of "vendor stitching" (relying on multiple third parties for phone lines, AI models, and messaging APIs) by providing a single, unified, carrier-grade system.
Plivo’s core strength is its integrated Voice AI stack and its own global CPaaS (Cloud Communications Platform as a Service). This means your high-stakes calls, whether for COD verification or instant lead follow-up, are executed on a stable, proven telecom network that Plivo controls entirely, ensuring guaranteed low latency and 99.99% uptime.
Core Capabilities : The Operational Powerhouse
- Carrier-Grade Inbound & Outbound - Handles live calls end-to-end, specializing in high-reliability outbound calls for order verification and sales follow-up.
- No-Code AI Agent Builder (Vibe) - Enables operations teams to build complex logic flows using plain-English instructions, without needing to touch code.
- Multi-Channel Context - Provides a unified agent across phone, SMS, WhatsApp, and chat, preserving history for seamless customer journeys.
- Deep CRM & eCommerce Integration: Natively connects with core D2C systems like Salesforce, Shopify, and custom ERPs to pull real-time inventory and write back critical conversion data.
Where is Plivo an ideal fit?
Plivo is the ideal choice if you are moving beyond a pilot project and require a single, reliable, high-uptime platform that can manage your core business infrastructure, ensuring maximum control over cost, quality, and performance at global D2C scale.
ConvertWay
ConvertWay is explicitly designed to act as a revenue recovery engine by tackling specific operational challenges like COD verification and abandoned carts. Its primary value is the focus on verifiable, measurable sales recovery.
The niche trade-off
While unparalleled for conversion optimization on specific e-commerce tasks, ConvertWay tends to operate on a higher, predefined workflow level. Teams looking for deep, custom control over the underlying telephony or the core AI stack (a benefit offered by platforms like Plivo) might find its integrated nature slightly restrictive when building completely custom, mission-critical infrastructure.
Core capabilities
- Automatically initiates outbound calls to follow up on abandoned carts.
- Calls customers post-order to confirm details and intent, significantly reducing RTO rates.
- Built-in connection to major e-commerce platforms (like Shopify) to update cart and order records instantly.
- Automatically switches tone and language to match the customer for a truly personalized experience.
Best fit if you
- Are a D2C brand struggling with high abandoned cart rates and COD verification.
- Need an agent that focuses primarily on outbound revenue generation over complex inbound support.
Not a fit if you
- Require deep, custom control over the telephony stack or core LLM integration.
- Need a platform for complex, non-conversion-related customer troubleshooting.
Jesty CRM
Jesty CRM's strength for local and D2C consumer services is its all-in-one approach to instant lead response. Jesty is a CRM with an AI voice agent built into its core, allowing it to instantly call, qualify, and manage leads captured from sources like website forms or Google Ads.
The niche trade-off
Its core value is the integrated CRM for sales velocity, which is superb for lead-heavy businesses. However, its voice component is tied directly to the Jesty ecosystem. Unlike platforms like Plivo, which provide a dedicated CPaaS foundation that integrates into any existing CRM or operations software, Jesty requires you to commit to their CRM for full functionality.
Core capabilities
- Automatically calls new leads generated from any source within 10 seconds of capture.
- Provides a single platform to capture, call, qualify, and track leads.
- Supports customization of voice tone, pitch, speed, and language.
- Every conversation is analyzed, summarized, and logged automatically inside the CRM.
Best fit if you
- Are a local service business where instant lead qualification and response time are critical.
- Need an integrated solution that combines a CRM and a voice agent in one affordable package.
Not a fit if you
- Already have an entrenched enterprise CRM (like Salesforce) and only need a highly robust, dedicated voice API layer.
- Are purely focused on post-purchase order tracking rather than lead acquisition.
Cresta
Cresta is the ideal choice for scaling D2C businesses moving into the enterprise space. It focuses on bringing enterprise-grade reliability and quality assurance to the voice channel, prioritizing brand reputation and human-AI collaboration.
The niche trade-off
Cresta is a premium solution with a price point and complexity tailored for the largest enterprises, which may be prohibitive for many local or scaling D2C companies. While its quality management is superb, it is more of a platform overlay than the core telecom infrastructure offered by Plivo, which provides more direct control over latency and carrier performance.
Core capabilities
- Agents adhere strictly to brand voice and guardrails, minimizing risk of poor CX.
- Unifies human and AI agents on a single platform, enabling smooth hand-offs and consistent performance.
- Includes built-in AI-driven testing, observability, and quality management.
- Allows the AI to navigate dynamic conversations and securely take action across your tech stack.
Best fit if you
- Are a rapidly scaling D2C brand that cannot compromise on brand safety and customer experience (CX) quality.
- Need an enterprise-grade platform with strong security and continuous performance management.
Not a fit if you
- Are a small business with budget constraints.
- Need full, low-level control over the telecom layer or want a developer-first API.
Sierra
Sierra positions itself as the AI agent for better retail experiences, excelling in lifelike voice quality and pre-purchase guidance. Its focus is on making the voice experience feel premium and conversational.
The niche trade-off
Sierra's strength is CX quality, but its core focus is often more generalized retail guidance rather than the gritty operational automation (like high-volume COD verification or core telephony management) required by many local D2C brands. It may offer less flexibility in deeply customizing the conversation logic compared to a builder-focused platform like Plivo.
Core capabilities
- Designed with natural pacing, tone, and empathy to handle interruptions.
- Provides pre-purchase guidance mid-call, helping customers find the right product.
- Allows customers to instantly track orders, submit warranty claims, and request refunds.
- Intelligently transfers calls to human agents with an AI-generated summary.
Best fit if you
- Are a D2C brand where personalized product discovery and guidance are key to increasing Average Order Value (AOV).
- Prioritize high-quality, empathetic voice interactions to maintain a premium brand image.
Not a fit if you
- Need a platform primarily for internal lead management or mass-scale, transactional outbound calls.
- Require maximum control over the underlying conversation flow logic.
Vapi
Vapi is the go-to tool for D2C businesses with in-house development teams who want maximum control over their AI voice agent's logic, integration, and deployment. It provides the core API stack for building highly customized conversational agents.
The niche trade-off
Vapi is excellent for developers, but it is an API stack, not a turnkey solution. You are responsible for integrating Vapi with a third-party telephony provider, managing the data flow, and handling the core reliability, which adds complexity. Plivo, by contrast, removes this complexity by offering its own global telephony (CPaaS) integrated with the AI stack.
Core capabilities
- Provides the flexible stack for building real-time, low-latency voice agents from scratch.
- Allows developers to define custom API calls (tools) that the AI agent can execute during a live conversation.
- Optimized for real-time speech-to-text (STT) and text-to-speech (TTS) to ensure low conversational latency.
- Developers can choose their preferred LLM (GPT-4, etc.) and voice models.
Best fit if you
- Have an expert in-house development team comfortable building from an API layer.
- Need the highest degree of customization and control over the agent’s logic.
Not a fit if you
- Require a quick, out-of-the-box, no-code solution with built-in, pre-integrated telephony.
- Lack the technical resources to handle integration with a separate CPaaS vendor.
Retell AI
Retell AI is a powerful choice for D2C teams looking to launch mission-critical phone-based automation quickly, specifically excelling in post-call analytics and ensuring consistent performance in demanding scenarios.
The niche trade-off
Retell is excellent for rapid deployment and analytics, but it often requires you to bring your own telephony or connect to a separate third-party telecom provider. This can lead to increased complexity and cost compared to integrated solutions like Plivo, where the high-reliability CPaaS is a native, unified component.
Core capabilities
- Built for immediate deployment in real-world scenarios, such as handling high-volume after-hours calls.
- Automates calls to confirm or reschedule appointments/deliveries.
- Provides a dashboard for managing conversation flows and accessing detailed post-call transcripts and summaries.
- Can be rapidly integrated and launched, minimizing time-to-value for urgent automation needs.
Best fit if you
- Need to automate after-hours support and lead capture to ensure 24/7 coverage.
- Rely heavily on scheduled calls (deliveries, service appointments) and need high confirmation rates.
Not a fit if you
- Want the telephony and AI stacked into a single, unified, and guaranteed architecture for maximum reliability.
- Are looking for a completely no-code, drag-and-drop flow builder.
Lindy
Lindy is a no-code platform that excels in creating AI voice agents for defined business processes like sales qualification, support, and scheduling via a visual, drag-and-drop interface.
The niche trade-off
Lindy’s biggest strength is its simplicity for non-technical users, but this often means sacrificing the deep, low-level technical control over the underlying telecom infrastructure and AI models. Its ease of use is better for simple, defined workflows, but less suited for the complex, high-throughput, carrier-grade deployments that a vertically integrated CPaaS like Plivo is built to handle.
Core capabilities
- Enables non-technical users to build, test, and deploy sophisticated voice agent flows using simple instructions.
- Can book, confirm, or reschedule appointments directly on your team's calendars (Google, Outlook).
- Strong focus on integrating with tools to log call outcomes and pull customer data instantly.
- Excels at calling leads, asking key qualifying questions, and passing only high-intent prospects to human staff.
Best fit if you
- Need a no-code platform that empowers your non-technical operations or sales managers.
- Are a consumer-services business that relies heavily on scheduling and appointment setting.
Not a fit if you
- Need a high-volume, carrier-grade solution where full control over telephony and the AI stack is paramount.
- Require the ability to switch out core components like the STT/TTS engine.
Salesforce Agentforce (Einstein)
Salesforce Agentforce becomes relevant for mid-to-large D2C brands heavily invested in the Salesforce ecosystem. Its strength is its direct access to the Customer 360 data for highly personalized, context-aware interactions.
The niche trade-off
Salesforce is the ultimate platform for personalization via data, but it is proprietary, highly expensive, and creates vendor lock-in; it only works well if you are already fully committed to the Salesforce environment. For D2C businesses not using Salesforce, the tool is irrelevant, whereas independent solutions like Plivo offer the flexibility to integrate deeply with any existing CRM or e-commerce platform.
Core Capabilities
- AI voice agent is natively embedded in Service Cloud and Commerce Cloud, instantly leveraging all customer data (purchase history, service tickets).
- Agents handle guided shopping, personalized support, and service automation within a single system.
- Built on Salesforce's own AI models for highly nuanced, intelligent responses.
- Provides powerful dashboards to measure AI performance against sales and service KPIs.
Best fit if you
- Are a scaling D2C brand that already uses Salesforce Service Cloud or Commerce Cloud and wants to leverage that existing data.
- Need an enterprise-level solution for complex, data-intensive customer interactions.
Not a fit if you
- Are a small local business running on basic e-commerce platforms (Shopify, WooCommerce) or low-cost CRMs.
- Need a solution that avoids vendor lock-in or is budget-friendly.
ElevenLabs Agents
ElevenLabs, renowned for producing the most human-like, emotionally nuanced voice synthesis on the market, has evolved into a complete Conversational AI Agent platform. Its primary value proposition for D2C is delivering a premium, highly personalized brand voice that builds trust and guides complex shopping or support interactions.
The niche trade-off
ElevenLabs is the gold standard for voice quality and customization, but it is typically a platform layer that requires integration with a separate telephony provider (like Twilio, Vonage, or even Plivo itself) or requires the user to manage their own SIP trunking for full functionality. While they offer integrated telephony features, D2C teams prioritizing guaranteed, high-volume carrier-grade reliability and vertically integrated infrastructure control, the primary benefit of a dedicated CPaaS provider like Plivo, might find the integration with an external telecom partner adds a layer of complexity.
Core Capabilities
- Automatically calls new and existing leads to qualify interest and connect them to agents.
- Combines calling and texting into one coordinated follow-up engine.
- Delivers live transfers or booked appointments when leads are qualified.
- Includes PPC ads, remarketing and IDX websites to capture and feed leads into AI follow-up.
- Syncs AI conversations and lead activity with CRMs and branded real estate websites.
Best fit if you
- Want lead capture with nurturing as a unified system rather than isolated voice interaction tools.
- Are a realtor or team that wants AI to automatically engage leads by text and phone, not just manage manual contacts.
- Need integrated lead capture feeding into automated follow-up and branded websites with IDX search.
- Plan to keep leads engaged over longer time horizons (e.g., 90-day voice follow-up).
- Value combined marketing + AI follow-up rather than a single channel (voice only).
Not a fit if you
- Are looking for pure AI voice agent infrastructure like a telephony-first CPaaS platform.
- Need tools focused on enterprise-grade telephony performance, low-latency voice systems or custom telephony workflows. Ylopo’s voice system is built for lead follow-up workflows, not bespoke voice apps.
What Matters Most in AI Voice Agents (Beyond the Basics)
For local D2C and consumer-services businesses, the true test of a voice agent isn't how well it performs in a demo, but how reliably it performs under pressure when revenue is on the line (e.g., during a flash sale or critical COD verification).
Here are the five criteria that separate an operational necessity from a costly experiment:
1. Telephony Ownership vs. Conversion Reliability
The primary job of a D2C voice agent is conversion and verification (e.g., confirming a COD order or recovering an abandoned cart). If the call drops, the conversion is lost. Many AI voice tools rely on third-party telephony stitched together with the AI layer, leading to unstable performance and limited call success rates, especially with international or regional carriers.
What D2C Operators Must Prioritize
- Built-in Telephony (CPaaS) - The agent runs on the same infrastructure that provides the phone lines, ensuring end-to-end quality.
- Direct Carrier Connectivity - Guaranteed call completion rates, critical for outbound sales/verification attempts.
- End-to-End Control over Call Quality - A reliable platform to handle high-volume, mission-critical calls without fail.
Why Plivo Wins Here
Plivo runs on its own global CPaaS and carrier-grade telephony stack, removing third-party voice dependencies. This ensures that every high-value outbound call attempt, from COD verification to lead follow-up, is executed with maximum reliability.
2. Real-Time Performance & Revenue Leakage
Voice agents that pause, lag, or fail to respond instantly break trust and increase the chance of customer frustration (leading to abandoned carts or canceled orders). For D2C, sub-second latency is mandatory for both customer experience and the success of real-time verification scripts.
What D2C Operators Must Validate
- Sub-500ms Voice Response Latency - Mandatory for natural, interruption-friendly conversations (e.g., confirming shipping details).
- 99.99% Uptime or Better - Failure during a flash sale or peak period can mean tens of thousands in lost revenue.
- Optimized LLM and TTS Orchestration - Ensures the agent quickly understands a response and acts on it (like instantly updating an order status).
Why Plivo Wins Here
Plivo’s vertically integrated Voice AI stack is designed for low-latency, real-time conversations on proven infrastructure, ensuring your agent never hesitates when closing a sale or verifying a critical detail.
3. Multi-Channel Context, Not Disconnected Operations
D2C customers often move between channels: they abandon a cart online, receive an SMS reminder, and then receive a voice call for follow-up. Treating each channel as a separate bot creates friction and duplicate work. The agent must remember the entire context.
What D2C Operators Must Look For
- Shared Context Across Voice and Messaging - The agent knows if the customer previously clicked an SMS link or received a WhatsApp notification.
- Unified Conversation History - Provides a single, clear timeline for human agents when escalation is needed.
- Seamless Handoffs - The agent can route a call to a human and provide a summary that includes prior chat/SMS history.
Why Plivo Wins Here
Plivo supports multi-channel agents that share context across phone, SMS, WhatsApp, and chat from a single system, essential for effective abandoned cart recovery and streamlined support operations.
4. Integration Depth for Operational Automation
A voice agent must be able to read from and write to your live operational systems (Shopify, CRM, ERP). Without deep, reliable integration, the agent is useless—it can't verify an address, check stock, or process a refund. This is the difference between a bot and a virtual employee.
What D2C Operators Must Prioritize
- Read/Write to E-commerce Systems (e.g., Shopify) - Instantly pull stock levels and update order status live.
- Real-Time Workflow Triggers - Trigger a delivery notification or service appointment during a live call.
- Clean CRM Integration - Automatically log sales outcomes (e.g., 'COD verified' or 'Lead Qualified') without manual cleanup.
Why Plivo Wins Here
Plivo integrates directly with CRMs and business systems, allowing agents to act on live data (checking inventory, updating orders) and update records automatically, making it a true operational component.
5. Built for D2C Scale, Not Just Demo Launch
A D2C business may experience massive spikes in call volume during sales or marketing campaigns. Many tools designed for simple demos will break or degrade under sustained load. Your agent must be predictable and scalable across high-volume moments.
What D2C Operators Must Ask
- Can this infrastructure handle 10x peak call volume without degradation?
- Are pricing and performance predictable as usage grows across various D2C use cases?
- Is the underlying platform built for global, sustained enterprise load?
Why Plivo Wins Here
Plivo’s AI agents are built on infrastructure that already powers enterprise-grade voice and messaging at global scale, ensuring that when your business hits its next growth spurt, your voice agent won't be the bottleneck.
FAQs
- What is the single biggest benefit of AI Voice Agents for local D2C businesses?
The biggest benefit is revenue preservation and recovery, primarily by automating high-stakes tasks like instant lead qualification and proactive abandoned cart/COD verification calls.
- Can these voice agents handle complex logistics questions like returns and exchanges?
Yes, provided the agent is deeply integrated with your e-commerce (Shopify/WooCommerce) and inventory systems to pull and update real-time order data during the conversation.
- How do I prevent my AI voice agent from sounding robotic or confusing customers?
Prioritize platforms with low-latency performance (sub-500ms) and advanced TTS models (like those from Plivo or ElevenLabs) that handle interruptions and nuanced, human-like responses.
- Is a "No-Code" agent better for a small D2C business than an "API-First" agent?
A No-Code agent (like Lindy) is faster for simple deployments, but an API-First agent (like Plivo or Vapi) provides the control needed to scale customized, reliable integrations with unique D2C backends.
- How does this fit into my CRM and follow-up workflows?
The agent reads live CRM data during calls and writes outcomes back automatically in the form of notes, disposition, next steps and booked appointments. Your team picks up conversations with full context instead of starting from scratch.
Try Plivo Free
Curious how an AI voice platform performs in your workflows, not just in theory? Plivo offers a free trial account with credits so you can experiment with voice, SMS, WhatsApp and chat services before committing. When you sign up, you get trial credits, can add a phone number and start testing features like real-time voice interactions and multi-channel engagement using APIs or visual tools like PHLO. This lets you validate performance, integrations, and call flows with your actual data all without upfront cost.
Plivo’s trial lets you test core capabilities immediately, making it easy to see how quickly you can build, launch, and refine agents that handle calls, qualify leads and update systems in real time.
Get started with your free trial now and begin building your first agent today.

AI Voice Agents for Real Estate (2026): 10 Tools Compared, Real Limitations and What Actually Scales
Compare 10 AI voice agents for real estate in 2026. Evaluate response time, CRM integration, multi-channel support, and scalability to find the right solution.
AI voice agents in real estate are all about response time, coverage and quick follow-through. If your system can't answer calls immediately, qualify intent, book tours and update your CRM without manual cleanup, it's not helping you win more deals; it's adding another layer for you to manage.
This guide isn't for browsing tools. It's for operators deciding whether to commit to AI voice agents in 2026 and ship something that actually helps you scale. We compare 10 platforms based on how they perform after signup, how fast you can go live, what breaks under real lead volume, and what it takes to keep them working week after week.
Top 10 AI Voice Agents for Real Estate (2026)
The goal here is simple: Helping you choose an option that you can launch confidently, not replace after the first integration headache.
1. Plivo
When aiming to build and scale AI voice agents for real estate, you care about two things: reaching prospects first and converting more inquiries into confirmed showings. Plivo excels here since it gives you production-ready AI voice agents that place instant callbacks, answer listing questions from your data, and book tours directly on your agents' calendars. They operate reliably across phone, SMS, WhatsApp and chat without stitching together telephony, AI models and messaging vendors.
Plivo is the AI agent builder platform for voice-first, omnichannel experiences—built on a carrier-grade telephony network trusted by Uber, Meta, Zomato, and thousands of businesses worldwide. Business teams can launch agents without writing code using Vibe agent. Engineering teams can orchestrate custom voice agents in code with full control. The foundation is Plivo's global communications infrastructure spanning 190+ countries: 15+ years of proven reliable infrastructure, low latency, and the call quality enterprises demand.
Core Capabilities:
- Inbound & Outbound AI Voice Agents: Handle live calls end-to-end, qualify intent, route intelligently and escalate to human agents when needed.
- Multi-Channel Agent Coverage: Run the same AI agent across phone, SMS, WhatsApp and chat with shared context across channels.
- No-Code AI Agent Builder (Vibe): Build and deploy voice agents using plain-English instructions, no prompt engineering or coding required.
- Build your way: Business teams launch with no-code tools; engineering teams build custom voice agents with full-code control. You're never forced into a single way of working.
- Vertically Integrated Telephony (CPaaS): Voice runs on Plivo's own global telephony infrastructure, avoiding third-party carrier dependencies.
- Low-Latency Voice AI Stack: Integrated TTS, STT and LLM orchestration enables sub-500ms response latency, critical for natural voice conversations.
- Enterprise-Grade Reliability: Built on Plivo's proven CPaaS platform with 99.99% uptime, 15+ years of reliable infrastructure, and global carrier connectivity across 190+ countries.
- CRM & Workflow Integrations: Pull customer context in real time and write call outcomes back to CRMs and support tools automatically. Connect Follow Up Boss, kvCORE, BoomTown, Salesforce, HubSpot, Google Calendar, Outlook, and your MLS/IDX feed.
- You own the stack: You get to choose your speech-to-text (STT), text-to-speech (TTS), and LLM while keeping prompts and data portable and avoiding lock-in.
Best fit if you:
- Need real-time voice agents that can operate continuously at scale.
- Want to avoid stitching telephony, AI and messaging vendors together.
- Plan to deploy across multiple channels, not voice alone.
- Have defined workflows for lead qualification, routing or follow-ups.
Not a fit if you:
- Only need a lightweight voice demo, basic IVR or short-term experiment.
- Want a fully turnkey, real estate-specific tool with no configuration or workflow control.
- Don't plan to integrate voice agents into your CRM, data stack or operations.
2. Luron AI
Luron AI is best suited for teams that need 24/7 AI voice agents that never miss calls and qualify leads automatically. It supports multilingual conversations and keeps pacing tight across accents and speaking styles. The system handles inbound and outbound voice conversations in dozens of languages and automates bookings and follow-ups without human staffing.
Core Capabilities:
- Instant call answer & qualification: AI answers every call, gathers intent, and qualifies leads without hold times.
- Multilingual support: Handles AI conversations in 45+ languages to cover diverse lead sources.
- Inbound & outbound support: Manages both types of calls and can also run outbound follow-ups.
- SMS, chat & email automation: Extends voice agents to text and messaging channels for a unified engagement approach.
- CRM & integration options: Connects to existing phone systems via SIP trunking and can integrate with CRMs and ticket systems.
Best fit if you:
- Want 24/7 lead capture and qualification without adding staff.
- Need multilingual voice conversations for global or diverse markets.
- Expect to automate bookings, follow-ups and reminders on voice and messaging channels.
- Have a CRM or existing phone system you must integrate with.
Not a fit if you:
- Only need a simple inbound answering or IVR replacement without automation.
- Want a solution focused on voice only, with limited channel reach.
- Prefer fixed, transparent pricing tiers publicly listed.
3. Callers AI
Callers AI is a platform for automating customer conversations with human-like voice agents that handle both inbound & outbound calls and messaging channels, powered by your brand's data and tone. It's focused on scaling high-volume voice interactions while maintaining contextual continuity across channels in a single branded voice experience.
Core Capabilities:
- Omni-channel AI interactions: Voice agents run across phone, SMS, WhatsApp and chat from a central AI brain.
- Human-like voice calls: Agents answer and place calls in a natural conversational style.
- Lead workflows & use cases: Supports lead qualification, cold call automation, appointment confirmation, retention flows and more.
- 24/7 availability & language breadth: Designed to handle calls and messaging around the clock, in multiple languages.
- Context remembering: Conversations carry context across voice and messaging so follow-ups feel continuous.
- Integrations & automation: Connects to CRMs and tools (300+ integrations) so call outcomes can update your systems.
Best fit if you:
- Want both inbound and outbound AI calling with consistent, natural-tone responses across channels.
- Need an AI system that can qualify leads, confirm appointments and manage follow-ups automatically.
- Are scaling high call volumes 24/7.
- Prefer a central "brain" that keeps context across channels and workflows.
Not a fit if you:
- Only want a basic voice or outbound dialer with limited cross-channel logic.
- Need a tool focused exclusively on simple IVR or basic routing without AI conversation layers.
- Prefer a product you can set up and forget in minutes without upfront configuration or workflow definition.
4. SquadStack AI
SquadStack AI is best suited for teams that want AI-assisted sales and voice engagement workflows supported by configurable human-in-the-loop automation. It blends automated outreach and qualification with options to escalate to human agents where needed, helpful for revenue teams that are focused on pipeline speed.
Core Capabilities:
- Automated Lead Engagement: AI enabled workflows proactively contact prospects and qualify them using data-driven sequencing.
- Voice & Messaging Channels: Supports outbound dialing, ringless voicemail, SMS and multi-touch sequences.
- Human-in-the-Loop Escalation: Configurable handoffs to live agents when conversations need human judgment.
- Sales Workflow Automation: Built-in logic for lead routing, prioritization and follow-ups across channels.
- CRM Integration + Data Sync: Sync outcomes and engagement data back to CRMs like Salesforce, HubSpot, etc.
Best fit if you:
- Want inbound and outbound automated voice interactions with natural conversation flows and multilingual capability.
- Need AI that handles lead qualification, follow-ups and reminders as part of sales or customer engagement sequences.
- Are automating sales outreach and conversational workflows alongside voice calls.
Not a fit if you:
- Need an AI platform focused on low-latency, bespoke voice agent infrastructure tied tightly to your own telephony stack.
- Are building a multi-channel bot with CRM/telephony hooks and developer control from the ground up at scale.
5. Telgent
Telgent leans into MLS and portal context. It is best for businesses that want always-on voice AI calling with automated scheduling, intelligent call handling and quick setup. Its platform emphasizes immediate activation, seamless integration with existing phone systems and natural AI responses that handle calls, schedule meetings and engage customers day and night.
Core Capabilities:
- 24/7 AI voice calling agents: Always-on call automation that answers and routes customer calls at any hour.
- Lead engagement & scheduling: Automatically books appointments, meetings and showings based on natural language conversations.
- Inbound call handling: AI answers incoming inquiries, qualifies intent and routes prospects with minimal human intervention.
- Automated inquiry responses: Provides instant answers to property questions and responds to rental or sales leads.
- Integration with real estate systems: Works with Zillow, Realtor.com, MLS platforms, Follow Up Boss, kvCORE, BoomTown, Salesforce and HubSpot for CRM continuity.
Best fit if you:
- Need round-the-clock call handling that captures leads and books appointments without missing inquiries.
- Want your voice AI to integrate with core real estate tools and CRM systems so client details are synced automatically.
- Are focused on lead conversion and showing scheduling as part of your customer engagement workflows.
Not a fit if you:
- Only require basic outbound calling with simple scripts rather than inbound + scheduling automation.
- Expect a no-config, plug-and-play voice bot that requires zero setup or customization.
- Want a platform that handles only one channel (voice only) without extending into SMS/WhatsApp/chat automation.
6. AIOnCalls
AIOnCalls is positioned as a virtual receptionist that never misses calls or opportunities. Best for teams that want an always-on voice AI assistant that handles inbound and outbound calls around the clock, engages callers in natural language, qualifies leads, books appointments and updates CRM data.
Core Capabilities:
- 24/7 Inbound & Outbound Voice Handling: AI answers and places calls around the clock across all hours and holidays.
- Lead Qualification & Follow-Up Automation: Qualifies callers in real time and automates follow-ups via voice, SMS and email.
- Appointment Scheduling & Calendar Invites: Books appointments and sends confirmations during calls.
- CRM & Workflow Integrations: Integrates with CRMs like Zoho, HubSpot, GoHighLevel, Google Calendar for real-time lead syncing and activity logging.
- Multilingual Conversations: Supports multiple languages and can handle simultaneous call sessions.
- Live Agent Escalation: Transfers complex calls to human agents when needed.
- Real-Time Analytics & Transcriptions: Provides live call monitoring, transcripts, sentiment analysis and dashboards.
Best fit if you:
- Need an AI voice agent that never misses inbound calls and engages leads immediately, 24/7.
- Want automated lead qualification, booking and follow-ups in voice, SMS, and email without human staffing.
- Are integrating call outcomes and engagement data into CRM or calendar workflows.
- Operate in industries where speed-to-lead matters and missed calls are costly.
Not a fit if you:
- Only need simple IVR or on-premise call routing without conversational automation.
- Prefer a pure telephony or developer API platform without built-in AI conversational layers.
- Are looking for a voice agent with deep, specialized industry templates.
7. Brilo AI
Brilo AI is a business-focused AI phone and voice call agent platform that enables teams to automate real-time voice interactions across industries like real estate. It promises fast setup, natural human-like voice responses, 24/7 coverage, integration with business tools and built-in analytics, all without needing a technical team to get started.
Core Capabilities:
- 24/7 AI voice call agents: Always-on AI phone agents handle inbound calls and customer engagements at any hour.
- Human-like voice interactions: Conversational voice responses built to sound natural and engaging.
- Appointment booking & scheduling: Voice agents can book appointments with synced calendars and handle reminders.
- CRM and business integrations: Integrates with a broad range of business apps (6,000+ app connections claimed) to sync customer context and outcomes.
- Real-time analytics & insights: Live call transcripts, sentiment analysis, intent tracking and topic detection support actionable insights post-call.
- Lead qualification automation: Agents engage prospects, capture intent and route high-value leads in real time.
Best fit if you:
- Need 24/7 automated voice engagement that never misses inbound or high-volume calls for lead capture, scheduling or support.
- Need a platform that books appointments, manages follow-ups and drives customer engagement without manual management.
- Plan to integrate the voice agent with CRM, calendar tools and analytics pipelines to maintain context across systems.
Not a fit if you:
- Simply need a basic phone tree, IVR or traditional call routing system.
- Are focused solely on developer-centric API telephony without AI built in.
- Require industry-specific compliance guarantees (HIPAA, PCI, etc.) documented publicly.
8. VocalDesk
VocalDesk is an AI-enabled voice and contact automation platform that helps teams automate calling, lead follow-up, support interactions and scheduling. Its focus is on automated voice conversations and multi-channel engagement with CRM integration and configurable workflows that replace manual outreach tasks.
Core Capabilities:
- Automated Voice Conversations: Handles inbound and outbound calls using AI to engage, qualify, and route callers.
- AI-Driven Lead Qualification: Automated conversation flows that marks lead intent and priority.
- Appointment Booking & Reminders: Schedules meetings and sends reminders as part of automated flows.
- Multichannel Messaging: Engages customers across voice, text and messaging platforms.
- CRM & Workflow Sync: Connects with CRM systems and business tools to log interactions and maintain records.
Best fit if you:
- Want to automate call handling and lead follow-up without manual dialing.
- Need a solution that combines voice and messaging outreach with CRM context.
- Are focused on lead qualification and scheduling as part of broader sales engagement.
Not a fit if you:
- Only need basic call routing or IVR without AI handling.
- Require explicit developer control over telephony APIs.
- Rely on hard metrics like latency, concurrency limits or multi-region telephony SLAs.
9. Calldock
Calldock is an AI voice agent platform intended for instant lead engagement, automatic qualification and scheduling. Its system calls leads within seconds of form submission, conducts natural conversations and integrates with calendars and workflows to automate follow-ups and booking.
Core Capabilities:
- Instant lead callbacks: Calls website leads within ~60 seconds of a submission, boosting early engagement.
- Calendar booking: Agents can book appointments directly to your calendar during live calls.
- Multi-channel follow-up: Agents send SMS and email follow-ups as part of the call workflow.
- Seamless handoff & callbacks: You can trigger human handoffs in natural language and schedule intelligent callbacks.
- API, webhooks, & integration ecosystem: Support for APIs and pre-call webhooks lets you fetch context before calls and connect with Gmail, Google Calendar, Slack, Zapier and thousands more.
- Developer playground & documentation: Provides API documentation and code examples for triggered calls and automated workflows.
Best fit if you:
- Want immediate lead engagement that happens in seconds.
- Need voice agents that qualify, book and follow up automatically across voice, SMS and email.
- Plan to integrate voice engagements with calendar and business workflows.
- Need a voice agent that works with easy templates for common industries with minimal setup.
- Want a low-code or no-code setup that goes live with simple configuration.
Not a fit if you:
- Need proper inbound/outbound calling with API integration.
- Require deep telephony infrastructure control or enterprise telephony SLAs.
- Are building highly custom dialogue systems that need proprietary LLM tuning beyond the existing templates.
10. Ylopo
Ylopo is a digital marketing and lead gen platform built for the real estate industry. It combines lead capture, nurturing, AI voice calling, AI texting, branded websites and marketing automation into one system that integrates with CRMs and helps real estate teams generate and convert leads.
Core Capabilities:
- AI Voice Follow-Up: Automatically calls new and existing leads to qualify interest and connect them to agents.
- AI Text Conversations: Runs two-way SMS conversations to nurture leads until they're ready to talk.
- AI² Voice + Text System: Combines calling and texting into one coordinated follow-up engine.
- Automated Appointment Transfers: Delivers live transfers or booked appointments when leads are qualified.
- Lead Generation & Nurture: Includes PPC ads, remarketing and IDX websites to capture and feed leads into AI follow-up.
- CRM & Website Integration: Syncs AI conversations and lead activity with CRMs and branded real estate websites.
Best fit if you:
- Want lead capture with nurturing as a unified system rather than isolated voice interaction tools.
- Are a realtor or team that wants AI to automatically engage leads by text and phone, not just manage manual contacts.
- Need branded websites with IDX search and integrated lead capture feeding into automated follow-up.
- Plan to keep leads engaged over longer time horizons (e.g., 90-day voice follow-up).
- Value combined marketing + AI follow-up rather than a single channel (voice only).
Not a fit if you:
- Are looking for pure AI voice agent infrastructure like a telephony-first CPaaS platform.
- Need tools focused on enterprise-grade telephony performance, low-latency voice systems or custom telephony workflows.
What Matters Most in AI Voice Agents (Beyond the Basics)
1. Telephony Ownership vs. Vendor Stitching
Many AI voice tools rely on third-party telephony stitched together with AI layers. This often introduces latency, call drops and limited routing control at scale.
What to prioritize:
- Built-in telephony with direct carrier connectivity
- End-to-end control over call routing and quality
- Fewer external dependencies
Plivo runs on its own global CPaaS and carrier-grade telephony stack, removing third-party voice dependencies.
2. Real-Time Performance (Latency & Uptime)
Voice conversations break down quickly when responses lag or calls fail. Sub-second latency and high uptime aren't "nice to have"—they're mandatory.
What to validate:
- Sub-500ms voice response latency
- 99.99% uptime or better
- Real-time STT, TTS, and LLM orchestration
Plivo's vertically integrated Voice AI stack is designed for low-latency, real-time conversations on proven infrastructure.
3. Multi-Channel Context, Not Disconnected Bots
Leads move between calls, SMS, WhatsApp and chat. Treating each channel as a separate bot creates broken experiences and duplicate work.
What to look for:
- Shared context across voice and messaging
- Unified conversation history
- Seamless handoffs between channels
Plivo supports multi-channel agents that share context across phone, SMS, WhatsApp and chat from a single system.
4. Integration Depth (CRM, Calendars, Workflows)
Voice agents don't operate in isolation. Without deep integrations, they become another silo your team has to manage.
Prioritize platforms that:
- Read from and write to CRMs in real time
- Trigger workflows during live calls
- Integrate cleanly with calendars and support tools
Plivo integrates directly with CRMs and business systems, allowing agents to act on live data and update records automatically.
5. Built for Scale, Not Just Launch
Many tools work well for pilots but struggle under sustained call volume or multi-region deployment.
Ask:
- Can this run continuously without degradation?
- Are pricing and performance predictable as usage grows?
- Will this still work when channels or regions expand?
Plivo's AI agents are built on infrastructure that already powers enterprise-grade voice and messaging at global scale.
FAQs
What's the fastest way to go live without breaking existing operations?
Start with a single, contained flow like after-hours inbound calls or instant lead callbacks. Connect your phone numbers, CRM and calendar, define escalation rules and launch! You can expand coverage once live data validates the flow.
How do I ensure voice quality doesn't feel robotic or laggy?
Voice quality depends on latency and telephony control. Platforms with integrated telephony and real-time STT/TTS orchestration keep responses sub-second, which is critical for natural conversations that callers don't hang up on.
How does the agent stay accurate and compliant with real estate data?
The agent should pull from a restricted, curated knowledge source (MLS, IDX, listings) and operate within defined guardrails. When questions exceed scope like pricing nuance, legal terms, fair-housing-sensitive topics, it escalates to a human automatically.
What happens when call volume spikes or multiple leads call at once?
Calls don't fail—they should queue. High-intent conversations can be routed to live agents, while others are qualified, scheduled or followed up asynchronously. Every outcome is logged so nothing gets lost.
How does this fit into my CRM and follow-up workflows?
The agent reads live CRM data during calls and writes outcomes back automatically in the form of notes, disposition, next steps and booked appointments. Your team picks up conversations with full context instead of starting from scratch.
Try Plivo Free
Curious how an AI voice platform performs in your workflows, not just in theory? Plivo offers a free trial account with credits so you can experiment with voice, SMS, WhatsApp and chat services before committing. When you sign up, you get trial credits, can add a phone number and start testing features like real-time voice interactions and multi-channel engagement using APIs or visual tools like PHLO. This lets you validate performance, integrations, and call flows with your actual data—all without upfront cost.
Plivo's trial lets you test core capabilities immediately, making it easy to see how quickly you can build, launch, and refine agents that handle calls, qualify leads and update systems in real time.
Get started with your free trial now and begin building your first agent today.

Best AI Voice Agents for Customer Support and Service (2026): What to Deploy Now
Compare 10 AI voice agent platforms for customer support. Get a practical 30-day pilot framework, implementation workflow, and outcome-driven selection guide.
1) Plivo — The fastest path to production-grade AI voice agents for customer support
A recent Gartner survey found that most customer service leaders plan to explore or pilot conversational GenAI in 2025—making a clear, near-term mandate to deliver something that works on the phone channel, not just in chat. That's your cue to build a reliable voice front door with an AI agent builder platform designed for voice-first, omnichannel experiences.
Why Plivo is #1
Plivo is the AI agent builder platform that lets you build your way. Whether you're a business leader who needs to launch fast or an engineering team building custom workflows, Plivo meets you where you are. Start with no-code tools that let non-technical teams deploy agents in hours. Go deeper with low-code orchestration for more control. Or build from scratch with full-code frameworks that integrate into your existing stack. You're never forced into a single way of working.
What it does for you
Plivo's Voice AI stack is modular by design. Want speed? Use the fully integrated platform—STT, LLM, TTS, and telephony—pre-configured and ready to go. Want control? Orchestrate your agents using code with Plivo's Agentic STT models and Telephony, alongside your preferred LLM providers. Want just the connectivity layer? Use audio streaming or SIP trunking and bring everything else yourself. You decide where Plivo ends and your stack begins.
Underlying it all is a reliable, carrier-grade telephony platform that scales for enterprises—global PSTN/SIP connectivity, number provisioning and porting, call routing with failover, recording with consent, and clean human handoff with full context into your CRM or help desk.
Segment-by-segment fit
If you're SMB, launch fast with no-code tools that let you deploy agents in hours, plus a simple dashboard and connectors for Shopify and Calendly. If you're mid-market, use low-code orchestration for more control, with a modular stack that lets you use what you need—swap in your preferred LLM, STT, or TTS. If you're enterprise, build with full-code frameworks that integrate into your existing stack, plus a modular Voice AI stack to pick-and-choose what you need, governance features (RBAC, audit transcripts, data residency), and contact center integration for high availability and reporting.
Start with Voice, go everywhere
Voice is the hardest channel to get right—and it's where Plivo leads. But the same flexible building experience extends to WhatsApp, SMS, RCS, and Chat. Build once, deploy across channels, and meet customers wherever they are.
Suitable for
- Fintech customer service: consent-first flows, secure keypad capture, dispute status, and callbacks.
- Healthcare scheduling: multilingual intake, appointment changes, escalations with a summarized handoff.
- Retail and logistics: order status, returns, delivery windows, and SMS/WhatsApp follow-ups.
No more choosing between a locked-in platform that's easy but limiting, or a DIY approach that's flexible but painful. Plivo gives you both—simplicity when you want it, depth when you need it.
Explore the Voice API, check pricing, review compliance, handle numbers & porting, browse case studies, or jump into the quickstart.
2) Google Dialogflow CX — Complex, branching flows without spaghetti
Key features
Dialogflow CX uses a flow-and-page model to capture state and branching, so you can manage multi-step intents like returns, warranty claims, and multi-factor verification without dozens of brittle intents. It supports voice and text and includes versioning, experiments, and test tools. For telephony, you can use partner gateways or SIP; for global reach, put Plivo at the edge and connect to CX.
Why it matters
Complicated support journeys need explicit state. CX gives you that structure. If your "Where's my order?" workflow forks based on identity checks, fulfillment method, and policy windows, you can keep logic readable and testable. CX also plays well with multilingual experiences and mixed initiative, so callers can change course mid-conversation.
Implementation steps
Start with a single high-volume journey and draw it as a CX flow. Add a fallback page with a short menu for noisy lines. Ground the bot in your knowledge base and order system, then add handoff rules. Put Plivo in front for numbers, routing, and recording consent, and pass summaries back to your ticketing system.
Suitable for
Teams with multiple brands or product lines, where branching grows quickly and consistency matters across regions.
3) Amazon Lex + Amazon Connect — AWS-first voice automation that ops can own
Key features
Lex handles the speech and NLU for voice and text. Connect adds the contact-center fabric: routing, IVR, call recording, and agent desktop. It's a natural fit if your data and apps live in AWS and security prefers IAM-managed access. For global numbers or bring-your-own carrier control, front with Plivo and route into Connect.
Why it matters
Staying inside AWS accelerates procurement, security reviews, and monitoring. You can call Lambdas for tool use, search knowledge with Kendra, and use Connect metrics and contact flows your ops team already knows. That shortens time to value and concentrates governance in one place.
Implementation steps
Define one call flow in Connect (ID&V → status lookup → handoff). Build Lex intents from your top FAQs. Add Plivo for number management, routing, and failover. Send summaries back to your CRM or help desk. Keep a barge-in plan for noisy environments and a keypad fallback for payment flows.
Suitable for
IT-led programs where AWS standardization, auditability, and a single pane of glass for monitoring are priorities.
4) IBM Watson Assistant — Governance-first deployments in regulated industries
Key features
Watson Assistant supports omnichannel conversations with documented security and governance options, including deployment paths designed for regulated workloads. If your risk office leads the decision, IBM provides clear guidance on audit logging, data handling, and architectural choices. Add Plivo to handle PSTN/SIP, call consent prompts, and compliant recording policies.
Why it matters
Financial services and healthcare teams often need auditability from day one. When you need clear data-handling boundaries and deployment models that align with internal controls, IBM's documentation and support track help you pass reviews without months of back-and-forth.
Implementation steps
Map your data-classification rules to Watson's deployment options. Keep contact recordings and transcriptions in your approved storage. Use Plivo's routing and consent prompts to standardize intake across regions. Summarize calls into your case system for full traceability.
Suitable for
Organizations with heavy compliance needs, strict data residency, or formal audit trails for every customer interaction.
5) Cognigy.AI — IVR modernization with fine-grained voice control
Key features
Cognigy combines a visual designer with a voice gateway that supports streaming ASR, interruptibility, and transfer control. It integrates with multiple speech providers and enterprise systems like SAP and Salesforce. This lets you tune barge-in sensitivity, error handling, and handoff cues rather than living with a one-size-fits-all IVR.
Why it matters
If callers still hear a menu tree, you're wasting time and goodwill. Cognigy helps you replace rigid menus with natural conversations and graceful escalation. You keep the levers you need—timing, sensitivity, fallback prompts—so the agent feels human, not scripted.
Implementation steps
Start with the two intents that create the most queue time. Set barge-in thresholds conservatively and widen them after you test in live traffic. Put Plivo at the edge to manage numbers, recording policies, and failover. Send summaries with disposition tags to your CRM.
Suitable for
Enterprises with legacy IVRs, high call volumes, and a clear need to reduce effort without ripping out the contact-center core.
6) Salesforce Agentforce — CRM-native service automation where your team works
Key features
Agentforce brings AI agents into the Salesforce console and data model. Your service team stays in the view they know, while the agent handles common intents, drafts summaries, and routes cases. Add Plivo for calling so every phone interaction lands in Salesforce with the right context.
Why it matters
When everything you need to resolve an issue already lives in Salesforce, keeping the agent there shortens integration time and improves analytics. Supervisors can coach on the same dashboard and review case summaries, while admins maintain clear governance over data and automations.
Implementation steps
Pick one queue with repetitive calls. Tie identity checks to account data and warranties. Keep a "press 0 for a human" fallback and make sure the agent passes a clean summary with next steps. Use Plivo for the phone edge so call recordings and consent are consistent across regions.
Suitable for
Service teams that treat Salesforce as the system of record and want automation to feel native—not bolted on.
7) Zoom Virtual Agent for Phone — A 24/7 receptionist and concierge
Key features
Zoom's Virtual Agent for Phone handles greetings, routing, and the most common requests. You train it from existing docs and site content, then turn it on for after-hours or full-time reception. It's built for quick wins like appointment scheduling, store hours, and simple status checks with transfers when needed.
Why it matters
If reception lines clog your switchboard, a front-door voice agent can deflect simple questions without new headcount. As you add skills, you can expand from triage to completing tasks. For broader reach, connect Plivo to add global numbers and transactional notifications via SMS or WhatsApp.
Implementation steps
Start with greeting, business hours, and routing. Add appointment booking next. Keep live-agent transfers one click away. If you outgrow the PBX perimeter, bring Plivo in to manage numbers and cross-channel follow-ups.
Suitable for
Single-number switchboards, high-volume reception desks, and teams that need a quick, always-on front door.
8) Sierra — Enterprise "autonomous" agents with category momentum
Key features
Sierra focuses on enterprise-grade AI agents for customer service with an emphasis on agentic workflows. The leadership and market traction give executives confidence to back bigger bets. If you're evaluating multi-channel automation with rigorous SLAs, Sierra is a credible short-list option. Plug it into Plivo for reliable telephony, recording consent, and global routing.
Why it matters
Momentum reduces perceived risk. When you need cross-functional buy-in, a vendor that's already in enterprise production helps. You still need the phone edge right: numbers, routing, and failover that won't buckle under peaks.
Implementation steps
Define two end-to-end journeys (e.g., ID&V + order update; returns approval). Keep human handoff one step away and capture every call summary in your case system. Instrument containment and transfers, then iterate weekly.
Suitable for
Large teams planning multi-channel agents and looking for vendor accountability with clear deliverables and timelines.
9) Tidio (Lyro) — SMB eCommerce chat that pairs well with voice
Key features
Tidio blends live chat, an AI agent, and eCommerce integrations. It's a practical way to resolve repetitive questions, free up your team, and capture intent while buyers are on your site. Add Plivo for a simple order-status line and SMS/WhatsApp updates so customers get answers by phone as well as chat.
Why it matters
eCommerce teams need fast coverage more than complex architectures. You can start with FAQs, then add checkout and account questions. When phone calls spike—promos, holidays—route a basic voice flow through Plivo and keep your agent consistent across channels.
Implementation steps
Load your top FAQs and shipping policies, add a returns flow, and set clear handoff rules. For voice, route a single Plivo number to a lightweight agent that authenticates by order ID and ZIP code, then offers a callback option during peaks.
Suitable for
Lean teams that want to reduce repetitive chat volume now and add phone coverage without standing up a full contact center.
10) Robylon — Multi-channel AI agents focused on support teams
Key features
Robylon specializes in AI-driven customer support across voice, chat, email, and messaging. It integrates with help desks like Zendesk and Freshdesk, supports multiple languages, and offers analytics dashboards designed for service leaders. It's a pragmatic fit if your help desk is the hub of your operation.
Why it matters
You want human-like conversations that escalate cleanly. Robylon's positioning around support workflows means your ticketing, SLAs, and dispositions stay intact. For reliable calling, use Plivo for numbers, routing, and recording consent so your phone channel matches the quality of your chat channel.
Implementation steps
Start with account updates and appointment scheduling. Ground the agent in your help-desk knowledge base and macros. Track resolution time and transfer reasons; refine weekly.
Suitable for
Mid-market support teams who want a focused system that plugs into existing help-desk processes and expands to voice without heavy lifting.
How to run a safe, high-signal pilot in 30 days
Define success first
Pick three metrics: containment, transfer rate, and average resolution time. Write a one-line target for each and a go/no-go threshold. Everyone should know what "good" looks like before you take your first call.
Start with narrow, high-volume intents
"Where's my order?", appointment changes, returns, account updates. These are predictable, frequent, and measurable. Script your handoff sentence so agents never start from zero.
Build the right guardrails
Add a consent prompt, a keypad fallback for sensitive inputs, and a short backup menu for noisy environments. Keep the escalations simple: one route for billing, one for everything else.
Ground every answer
Connect the agent to your CRM/help desk and knowledge base. If the answer doesn't exist in your source of truth, escalate. Summarize every call into the ticket with disposition and next steps.
Iterate weekly
Review 20 call transcripts together. Fix the top three friction points. Update prompts and knowledge. Ship changes. Repeat.
FAQ
What's the fastest way to launch a voice agent without changing my stack?
Keep your telephony and routing on Plivo, connect your preferred conversation engine, and ground it in your CRM/help desk and knowledge base. Start with one number, one intent, and a simple fallback.
How should I measure success in the first 30 days?
Track containment, transfer rate, and resolution time. Listen for barge-in moments and interruptions—they reveal prompt and timing issues that you can fix quickly.
How do I implement consent, recording, and PCI/PHI safely?
Play a clear consent prompt before any recording. Use keypad input for payments or sensitive data. Store recordings and transcripts in approved systems and keep audit logs.
When is Dialogflow CX better than Lex, IBM, or Cognigy?
Choose CX for complex branching flows and multilingual journeys; Lex when your team standardizes on AWS; IBM when governance and deployment control are paramount; Cognigy when you're modernizing IVR with fine-grained voice settings.
How do I handle accents, noise, and barge-in in production?
Use a robust ASR, tune your barge-in sensitivity, and keep a keypad fallback. Test in noisy environments and shorten prompts. Summaries help human agents pick up without asking callers to repeat themselves.
Conclusion: Build the voice edge once, then scale what works
A measured result to anchor ROI. McKinsey reported that, at one company with thousands of agents, applying generative AI raised issue resolution and lowered handling time—small percentage gains that compound into real savings at scale. That's the kind of lift your leadership expects—and the reason to start with a focused pilot that moves one metric.
Bring your "brain" of choice, but keep the phone edge on Plivo so every call connects, every consent is captured, and every handoff carries context. Define three KPIs, pick one journey, and go live with a human fallback. Review transcripts weekly, then scale to the next two intents.
Ready to hear what real-time voice feels like? Build your agent or talk to an expert today.
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RCS Marketing 101: Your Complete Guide
Discover how RCS marketing delivers rich, branded messages that drive engagement for your business.
SMS marketing works, but let’s be honest: it feels a bit outdated compared to modern apps.
But what if you could send rich, interactive messages with branded content, images, buttons, and carousels straight to your customers’ native messaging apps?
Rich communication services (RCS) makes that possible.
If you’re ready to explore how RCS marketing can transform your engagement strategy, this guide will walk you through everything you need to know. Let’s get started.
What is RCS marketing?
RCS marketing uses rich communication services to send interactive, branded messages through a customer’s default messaging app. It’s a modern upgrade to SMS that lets businesses share images, buttons, carousels, and more — all without needing third-party apps.
A user on Reddit summed up this perfectly:

RCS lets you send messages that are visually branded with logos and colors while remaining interactive. This turns static updates into an app-like experience inside a message.
This shift is part of a broader industry move, led by Google and backed by major mobile carriers, to upgrade messaging infrastructure and make RCS the default standard on Android devices.
As support continues to grow, businesses are adopting RCS as part of their customer engagement strategy. Platforms like Plivo make that adoption easier with a reliable, enterprise-grade gateway to deliver rich, reliable RCS campaigns at scale.
RCS vs. SMS marketing: A quick comparison
Marketers today are looking for ways to deliver more interactive and visual communication, and RCS is clearly leading the way.
While SMS still works well for simple alerts, it lacks the creativity and engagement that RCS marketing offers.
Let’s take a quick look at RCS vs. SMS marketing.
4 key benefits of RCS marketing
RCS marketing makes messaging feel more natural for both you and your customers. And since you can see what’s working and what’s not, it’s easier to pivot your strategy and get better results.
Here are its four key benefits.
1. Improved user interaction
One of the biggest advantages of RCS marketing is how seamless it makes the experience for your customers. Instead of typing out replies or clicking a link to open a website, users can just tap a button right inside the message.
Want them to book a demo, check order status, or browse products? It’s all possible with just a tap.
Fewer steps mean less effort, and that leads to more people following through. In fact, individuals spend up to 37 seconds engaging with RCS messages, which is a lot longer than most other types of mobile messaging.

That extra time and interaction can make all the difference when you’re trying to convert interest into action.
2. Consistent brand experience
RCS marketing doesn’t just tell people who you are — it shows them.
Verified business profiles help people know they’re getting messages from the real brand. Every message shows your brand’s logo, name, colors, and a checkmark. These small details make it clear that the message is coming from a genuine source.

This consistency matters because 88% of people are more likely to buy from a brand they trust.
3. In-depth analytics
With RCS marketing, you can track open rates, button clicks, and how people interact with each part of your message.
You get clear visibility into what’s working and where users are dropping off.
This makes it much easier to measure the return on investment (ROI) and fine-tune your campaigns. The more you understand how people engage, the better you can shape your messaging for results.
4. Higher conversion potential
RCS marketing makes it easier for customers to take action — whether that’s browsing products, booking a service, or making a purchase — all within the message itself.
With fewer clicks and no need to switch apps, the path to conversion feels effortless. And when it’s that easy, more people follow through.
For example, EaseMyTrip used RCS to run a post-COVID travel survey. They added quick-tap answer options and followed up with a thank-you coupon. The campaign saw a 4x higher click-through rate than email, 10x more survey completions, and a 2.7% increase in conversion rate.
5 major use cases of RCS marketing
Here are five major use cases showing how brands are using RCS marketing effectively.
1. Product promotions
RCS makes product promotions feel more like browsing a store than reading a message. Brands can send image carousels that customers can swipe through to explore new arrivals, check product details, and see what’s available without leaving their messaging app.

2. Abandoned cart reminders
The average cart abandonment rate is over 70%, which means most shoppers never make it to the finish line. RCS marketing can help bring them back by making the reminder more engaging and easier to act on.
You can send a message that shows exactly what they left behind, along with a clear button to complete the purchase. It’s visual, straightforward, and the entire experience stays within their messaging app.
3. Appointment confirmations and reminders
A PhD thesis from Manchester Metropolitan University found that forgetfulness is the most common reason people skip their appointments.
RCS makes it easier for both businesses and customers to stay on the same page. You can send a message that shows the appointment details along with a simple calendar view. Add buttons to confirm, reschedule, or cancel — all within the chat.

4. Customer surveys and feedback
Getting feedback is important, but most customers lack the time or patience to complete lengthy forms. RCS marketing makes it easier by allowing brands to ask short, targeted questions and receive quick responses.
Plus, the rich features of RCS let you include images, ratings, or multiple-choice options, making feedback feel more like a conversation.
5. Customer support follow-ups
After a support request is resolved, following up shows customers you care and helps close the loop on their experience. But if the follow-up message gets buried in an email inbox or goes unnoticed, that opportunity to connect is lost.
With RCS marketing, you can send a quick message to check if everything’s working fine. You can include helpful buttons like “Change Password,” “Manage Account,” or “Talk to Support.”

RCS marketing myths and realities
Despite RCS marketing’s growing adoption and proven results, some common misconceptions still hold businesses back from trying it. Let’s look at a few of the biggest myths and what’s actually true.
Myth 1: RCS marketing is too expensive
At first glance, RCS business messaging can seem like a pricey upgrade. Rich visuals, tap-to-action buttons, and branded layouts look premium, so it’s easy to assume they come with a hefty cost.
But cost alone doesn’t tell the full story.
What you get in return matters more. RCS drives significantly stronger engagement with higher click-through rates, increased interactions, and better overall outcomes.
Take Club Comex, the loyalty program of North American paint brand Comex. They sent two rich and interactive RCS campaigns to their members and saw a 10x higher click-through rate, which helped increase revenue by 115%.
That’s the value side of the equation. Better targeting and richer content mean more people click, engage, and convert.
Myth 2: RCS marketing doesn’t reach enough users to be worth it
This concern made sense in the early days of RCS, when adoption was still catching up. But the landscape looks very different now.
In June 2024, the 12-month growth of RCS users reached 36.3%, showing faster uptake than other messaging channels. More Android devices support RCS by default, and it’s being rolled out across more networks globally. Even Apple has announced support, which means RCS is on track to reach a massive number of smartphone users worldwide.
With that kind of growth and widespread support, the hesitation around RCS is starting to fade. Brands can confidently invest in RCS marketing knowing it will connect with more customers than ever before.
Myth 3: RCS gets treated like spam and ends up ignored just like emails
Unlike email, RCS messages appear directly in the user’s primary messaging app alongside personal conversations. They include rich media and interactive elements, making them more engaging and less likely to be ignored.
This creates a more natural, conversational experience that drives higher open and response rates than traditional marketing channels.
Why choose Plivo for your RCS marketing needs
With RCS, you can turn simple messages into rich, branded conversations that feel more like chatting than broadcasting.
Plivo gives you the tools to make that shift without the hassle. From verified messaging to smart automation, everything works together to help you connect better and respond faster.
When combined with AI Agents and a unified customer data platform, RCS becomes more than just messaging. You can deliver personalized experiences at scale, automate everyday interactions, and keep conversations flowing without lifting a finger.
Here’s what you get with Plivo’s RCS API:
- Real-time personalization: AI Agents tailor conversations using customer profiles and behavior triggers to improve engagement and conversions.
- Multi-channel fallback: If RCS isn’t supported, messages automatically switch to SMS to ensure delivery and maintain consistent communication.
- Conversational automation: AI Agents handle FAQs, process orders, schedule deliveries, and route complex queries within RCS.
- All-in-one messaging platform: Manage RCS, SMS, WhatsApp, Voice, and more from a single dashboard.
- Reliable performance: 99.99% uptime and global infrastructure keep your campaigns running smoothly.
With Plivo’s no-code tools, you can quickly launch AI-powered RCS messaging across channels and deliver a consistent customer experience from day one.
See how you can launch your first RCS marketing campaign with Plivo by requesting a demo today!

WhatsApp Agent Setup: How to Launch AI-Powered Conversations at Scale
Learn how WhatsApp agent setup works using Plivo to launch AI-powered, no-code agents that handle support, sales, and engagement at scale.
Your customers are on WhatsApp but are your agents?
If you’re still relying on manual replies, scripted chatbots, or email follow-ups, you’re leaving response time and revenue on the table.
The smarter path? AI-powered WhatsApp agents. They’re full-service, no-code agents that can resolve issues, qualify leads, and send personalized offers 24/7.
In this guide, we’ll walk you through WhatsApp agent setup using Plivo and understand how these agents help you automate conversations that convert.
What is a WhatsApp AI agent?
A WhatsApp AI agent is an automation designed to operate over the WhatsApp Business API. Unlike scripted bots, agents are built to understand intent, pull in context from your internal systems, and complete business tasks like answering account-specific questions or initiating transactions.
Plivo’s WhatsApp AI agents can be trained to use your brand voice, integrated with your CRM or helpdesk, and customized to handle specific use cases, such as subscription renewals, cart recovery, refund processing, or customer onboarding.
They are accessible through a no-code interface and support a multilingual, omnichannel customer experience across WhatsApp, SMS, RCS, and voice.
What you need before setting up your agent
To go live with a WhatsApp agent, you need:
- A verified Meta Business Account
- An active WhatsApp Business Account (WABA) tied to a phone number
- Pre-approved message templates for outbound communication
- WhatsApp Business API access through a business solution provider (BSP) (Plivo offers this natively)
- A platform to design, train, and manage agents (Plivo Agent Studio)
Also read: How to Create WhatsApp Message Templates: A Complete Guide
Optional but recommended integrations:
- CRM (like Salesforce, HubSpot, or Zoho)
- Helpdesk (like Zendesk or Freshdesk)
- E-commerce or billing tools (Shopify, Stripe, etc.)
Step-by-step: How to set up a WhatsApp agent with Plivo
Follow this step-by-step guide for a smooth WhatsApp agent setup with Plivo.
Step #1: Choose your primary use case and define agent scope
Don’t build a generic bot. Start with why you’re automating. This could be handling support queries, sending order updates, re-engaging inactive customers, or managing subscription renewals.

Plivo provides a library of prebuilt AI agents for common use cases like cart recovery, lead qualification, appointment reminders, and product recommendations. You can choose to use one as-is or customize it to fit your business process. Each agent is compatible with WhatsApp and designed to operate across channels as needed.
Step #2: Build the agent using Plivo’s no-code platform
Since your API access is already set up, you can begin building your agent in Plivo’s Agent Studio. This is a visual, drag-and-drop builder where you create conversation flows using blocks that represent actions, responses, conditions, and triggers.

You can structure your flow to respond to specific keywords, match customer intent, route inquiries to different departments, or escalate to a live agent when needed. Each step in the journey can include media-rich responses like buttons, product carousels, quick replies, and file attachments.
Beyond logic design, you can also configure fallback rules for when the agent is unsure, and add human handoff conditions to ensure escalations happen smoothly with full context transferred to the live agent.

This step allows you to fully customize the agent’s tone, workflow, and logic to reflect how your brand communicates.4
Step #3: Train your agent with AI
Plivo supports integration with internal systems like your CRM, order management platform, inventory tools, or helpdesk. This means your agent can access real-time customer data, past orders, preferences, and policies to deliver personalized responses.
You can also connect your knowledge base, including FAQs, SOPs, product documentation, or policy articles. These resources train the agent to respond accurately and contextually, without needing scripted answers.

For natural language understanding, Plivo gives you the flexibility to choose the AI model that powers your agent.

Step #4: Test, launch, and monitor your agent
Once your flow is built and trained, run controlled tests:
- Check for flow accuracy and intent matching
- Review how it handles incomplete or unclear inputs
- Test human handoff and see if the agent transfers the full context

Plivo’s real-time dashboard lets you:
- Monitor delivery, engagement, and satisfaction metrics
- Track where users drop off in conversations
- Identify areas to improve agent logic or content
- Compare campaign and agent performance across channels
After launch, your agent keeps learning. As more customers interact, you’ll gather insight to improve how it responds or what paths it offers.
Plivo is purpose-built for WhatsApp AI agent deployment
Plivo’s platform is designed to help you move from idea to live AI-powered engagement without requiring engineering support or external consultants. When you use Plivo for WhatsApp agent setup, you get:
- Access to prebuilt agents for sales, support, and engagement
- Intuitive no-code builder (Agent Studio) that puts you in control
- Deep integration with your business systems for real-time, contextual replies
- Support for the best LLMs on the market, so your agent is trained with intelligence
- Built-in compliance with WhatsApp’s policies and global data laws
- Unified interface to manage messaging across WhatsApp, SMS, RCS, and Voice
- Enterprise-grade infrastructure with 99.99% uptime and expert onboarding support
Automate outcomes with WhatsApp agent setup in Plivo
Smart WhatsApp automation starts with smart setup. With Plivo's no-code platform, you can automate customer conversations, boost sales, and scale support — all without a development team.
Plivo offers the tools to build agents that reflect your brand, the infrastructure to scale securely, and the intelligence to adapt with your customer needs.
Whether you're trying to cut support wait times, recover abandoned carts, or drive upsells through personalized outreach, a well-built WhatsApp agent can make it happen, and Plivo makes it achievable.
Ready to get started? Request a free trial today!

The Definitive Guide to Automating WhatsApp for Business
Learn how WhatsApp automation can simplify customer communication and scale operations. Know about its key benefits and use cases. Get started today.
Remember when WhatsApp was just a simple messaging app? Launched in 2009, it was a tool for friends and family to stay in touch.
Fast-forward to today, and WhatsApp has become a global powerhouse with over 3 billion monthly active users. Businesses worldwide leverage WhatsApp to connect with customers, share updates, and provide support.
Many businesses struggle to keep up with the growing volume of customer messages on WhatsApp. Manually handling inquiries, sending updates, or following up on leads can quickly become overwhelming and inefficient.
This is where WhatsApp automation steps in.
By automating repetitive messaging tasks, businesses can reduce manual workload, respond faster, and deliver more personalized, timely communication.
In this article, we'll explore what WhatsApp automation is, why it's essential for modern businesses, and how you can implement it to improve customer engagement and operational workflows.
What is WhatsApp automation?
WhatsApp automation is the use of technology to automatically send and manage messages on the platform, especially for business and customer engagement purposes.
It doesn’t require human intervention for every interaction. As a result, businesses can handle customer inquiries, deliver updates, and engage with prospects efficiently.

With WhatsApp business automation, you can:
- Auto-respond to FAQs and reduce ticket volume.
- Reduce customer support load with proactive messaging.
- Route complex support queries to live agents only when needed.
- Send order confirmations and delivery updates automatically.
- Share return instructions based on customer actions.
- Run re-engagement campaigns with smart timing.
- Integrate with Shopify, Magento, and more for real-time updates.
- Trigger workflows from CRMs or e-commerce platforms.
- Keep messaging compliant with auto opt-outs and logs.
Here’s a breakdown of the three main types of automated messaging on WhatsApp:
Key benefits of WhatsApp automation
By automating routine tasks, WhatsApp can help your business stay responsive and consistent across customer touchpoints. Here’s how it can benefit your business:
Reduce manual workloads and response times
When you automate WhatsApp interactions, every department, from marketing to customer service, runs more smoothly.
By automating routine tasks like order updates, FAQs, and customer inquiries, businesses can significantly reduce the manual effort required.
This means your team spends less time on repetitive tasks and more time focusing on high-priority interactions.
Increases the scalability of customer interactions
As your business grows, the number of customer interactions increases. Automation allows you to scale communication efforts without hiring additional staff or losing the personal touch.
Whether you're dealing with 50 or 5,000 customers, automated responses ensure that each inquiry is handled swiftly and consistently.
Enhances customer experience through personalization
Automated WhatsApp messages can be personalized based on customer data, creating a more relevant and tailored experience.
From addressing customers by name to offering product recommendations based on past purchases, personalization makes customers feel valued. This leads to higher engagement rates and improved loyalty.
Cost-effectiveness compared to manual processes
WhatsApp automation eliminates the need for large customer support teams and reduces the time spent on repetitive tasks.
This saves on operational costs and also leads to a more efficient allocation of resources.
5 popular use cases of WhatsApp automation across industries
Businesses everywhere are finding new ways to use WhatsApp automation. Here are five popular examples:
1. Customer support
Automating common FAQs and routine inquiries on WhatsApp helps customers get instant answers anytime. This reduces the number of tickets support teams have to handle, letting them focus on more complex problems.
2. E-commerce operations
Order confirmations, shipping updates, and delivery notifications keep customers informed every step of the way. Automating returns and collecting feedback via WhatsApp speeds up these processes and improves customer satisfaction.
3.Marketing and lead nurturing
Automated lead follow-ups ensure timely, consistent engagement with prospects, boosting conversion chances. Also, you can use personalized re-engagement campaigns to help bring back inactive customers with offers or updates tailored to their interests.
4.Event management and invitations
Automated WhatsApp invites, updates, and follow-ups keep your audience informed and engaged, boosting the attendance rate. This helps you stay connected and make every event a success.
5.Appointment scheduling and reminders
Timely reminders help customers remember appointments, reducing cancellations and improving the overall experience. Automation makes scheduling easier and more efficient for both businesses and customers.
Step-by-step guide to implement WhatsApp automation for your business
To successfully implement WhatsApp automation, follow these key steps that cover planning, setup, and optimization.
Step 1: Define your use cases and goals
Start by identifying which business functions, such as order updates, customer support, or lead follow-ups, will benefit most from automation.
Set clear, measurable goals like:
- Reducing response times
- Lowering manual workload
- Boosting customer engagement
This will guide your automation strategy and help you track success.
Also, ensure compliance from the start. WhatsApp requires businesses to obtain explicit customer opt-in before sending messages. To stay compliant:
- Use clear, transparent language when requesting consent.
- Collect opt-ins through channels like website forms, checkout flows, or click-to-chat ads.
- Log and manage consent within your systems for audit readiness.
Data privacy and compliance are essential for building trust and maintaining long-term customer relationships.
Step 2: Choose the right WhatsApp business API provider
Select a platform that fits your specific needs. Look for features like:
- Robust CRM integrations
- Audience segmentation
- Flexible automation workflows
These capabilities simplify your communication and scale your efforts efficiently.
Make segmentation a priority, use tagging and grouping strategies to target the right customers with the right messages.
With smart tagging and grouping, you can:
- Deliver personalized messages
- Engage the right people at the right time
- Improve conversion and retention
Step 3: Set up your WhatsApp business account
You must set up a verified WhatsApp Business account to use WhatsApp for automated messaging. This includes:
- Registering your business name and details.
- Verifying a dedicated phone number.
- Getting approval from Meta to use the WhatsApp Business API.
This ensures that your business is recognized as a legitimate sender.
Your WhatsApp API provider will typically assist with onboarding, including submitting documentation and setting up the technical aspects.
Some platforms also offer pre-built tools to help you manage mobile number registration, display name approval, and message template submissions.
Step 4: Create and submit message templates
Start by designing message templates for everyday customer interactions, such as:
- Promotional messages (e.g., limited-time offers)
- Transactional updates (e.g., order confirmations, delivery alerts)
- Support messages (e.g., ticket updates or issue resolution)
Each template must follow WhatsApp’s formatting and content policies.
Once your templates are ready, submit them through your WhatsApp API provider for Meta’s approval. Only approved templates can be used for proactive messaging.
Step 5: Build automation workflows
Now that your account and templates are ready, it’s time to connect WhatsApp with the rest of your tech stack. Integrate with:
- CRM systems (to access customer data)
- Support tools (for query management)
- E-commerce platforms (to track orders and actions)
Use event-based triggers, like a new order, a cart abandonment, or a support ticket, to automatically send relevant messages.
Additionally, plan for human fallback. Automation can’t handle everything. Build intelligent workflows that escalate to a human agent when:
- A customer requests help
- The query is too complex
- Sentiment detection flags a negative experience
This keeps your support experience smooth, responsive, and frustration-free.
Step 6: Test, launch, and optimize
Start with a pilot campaign to ensure everything runs smoothly.
Track key metrics:
- Response time
- Open rate
- Conversion rate
Use these insights to refine your workflows, improve message content, and adjust targeting.
Best practices for WhatsApp automation
Following some proven best practices is essential to get the most out of WhatsApp automation. Here’s what you need to know:
Tips for optimizing messaging frequency and timing
To keep your audience interested, it's vital to message thoughtfully and strategically. Here are some quick tips:
- Avoid over-messaging to prevent unsubscribes.
- Use analytics to identify when your audience is most active and receptive.
- Space out messages to keep it natural.
- Monitor response rates and adjust based on customer behavior and feedback.
Leverage data analytics for campaign performance
By tracking metrics such as open rates, click-through rates, and response times, you gain valuable insights into what works and what doesn’t. Use this data to refine your messaging, target relevant audience segments, and optimize timing.
Regularly reviewing analytics helps you make informed decisions that boost engagement and drive better results over time.
Compliance and customer privacy protection
To protect your customers and stay compliant, focus on these key areas:
Enhance customer communication with Plivo’s AI WhatsApp automation
The growing demand for instant, tailored communication on WhatsApp puts pressure on businesses to respond quickly. Customers expect fast, personalized replies around the clock, and doing this manually often leads to delays, inconsistent service, and missed opportunities.
Finding a way to scale these conversations efficiently is critical for businesses looking to stay competitive.
That’s where Plivo comes in, an industry-leading omnichannel platform that automates and personalizes WhatsApp conversations, delivering timely responses at scale.
By leveraging Plivo’s WhatsApp AI agents, businesses can manage a wide range of customer communication tasks, from pre-sales inquiries to post-purchase support, without increasing their team size.
Here’s how Plivo can enhance your customer communication:
- Brand-aligned AI agents: You can customize the AI agents to reflect your brand’s voice, tone, and style. This makes all customer interactions align with your brand’s identity and deliver a personalized experience.
- AI customer service agent: Plivo’s AI agents work around the clock, ensuring your customers receive timely responses, regardless of the time zone. These agents process orders, resolve support issues, and answer questions.

- Natural, human-like conversations: With AI agents, you can engage in context-aware conversations, mimicking human interactions. They remember customer preferences and history to provide relevant responses like a human agent would.
- Simple, volume-based pricing: Plivo charges a flat fee per conversation rather than per message, making costs predictable and scalable. Volume discounts are available to lower your total spend as your messaging needs grow.

- Built-in compliance: Plivo ensures compliance with GDPR, HIPAA, PCI DSS, ISO 27001, and SOC 2 standards.
- Guaranteed message delivery with fallback options: The platform delivers billions of messages annually and uses SMS and voice fallback channels to ensure your customers always receive important communications.
- 24/7 availability: Plivo's AI agents provide instant, 24/7 assistance, answering questions, processing orders, and resolving customer issues.
- Multilingual support: With support for 70+ languages, Plivo’s AI agents can engage with customers globally and offer a multilingual customer service experience.
- E-commerce platform integrations: Integrate seamlessly with popular e-commerce platforms like Shopify, BigCommerce, WooCommerce, and Magento to deliver a unified customer experience across all touchpoints.
With Plivo’s vast carrier network spanning over 220 countries, businesses can significantly cut SMS costs by up to 70% while achieving threefold returns on investment.
Many companies using Plivo CX have experienced remarkable results, earning an outstanding $71 for every dollar invested in their SMS marketing efforts.
Book a free demo today and see how Plivo’s AI WhatsApp agents can change your customer communication strategy.

Conversational SMS: Improve Your Text Messaging Strategy
Learn how to use conversational SMS to drive engagement, improve CX, and increase conversions. Explore features, use cases, and best practices.
Stop sending texts into the void. If your SMS strategy still relies on generic, one-way blasts without personalization or interaction, you're leaving money on the table and missing genuine connections with your customers.
In fact, 71% of consumers respond more positively to two-way interactions with brands. They want a dialogue, not a monologue.
This blog will help you understand how to get started with conversational SMS, real-life use cases, and how to build a texting experience your customers will enjoy.
This guide reveals how to pick up conversational SMS, from real-world use cases to proven tactics that turn simple texts into meaningful conversations.
What is conversational SMS?
As noted, conversational SMS refers to two-way texting between your business and customers. Unlike traditional SMS blasts, which send the same message to thousands of people at once, conversational SMS invites engagement and, in many cases, a reply.
Therefore, it gives your customer a direct way to ask questions, confirm details, or solve an issue without waiting on hold or checking email.
For example, instead of sending “Your order has shipped,” you can ask, “Your order’s on the way. Need tracking info or support?” This small shift can drive action.
Plus, you can also rely on channels like RCS (Rich Communication Services), which supports images, buttons, and suggested replies, or WhatsApp, which allows branded two-way conversations on a global scale.
Key benefits of conversational SMS
In 2025, 86% of customers prefer SMS as their go-to communication channel. But preference alone doesn’t drive results. It’s how you use SMS that makes the difference.
Conversational AI helps you move beyond one-way updates to real, results-driven engagement. Here’s what you gain:
Speed up your replies
82% of consumers check their text notifications within just five minutes of receiving a text. And nearly a third check their text notifications within just 60 seconds of receipt. Conversational SMS is built exactly for this.
It helps you reply instantly to common questions like, “Where’s my order?” or “Can I change the delivery address?”. And it doesn't even require a ticket number.
Make support easier
With this SMS marketing, people don’t have to dig through your site or repeat themselves. Everything stays in one thread, including returns, product questions, and delivery updates, so that it’s direct and friction-free for the users.
For example, a customer could text, “Does this shirt run small?” and get a personalized answer in seconds.
Help people buy faster
Unanswered questions can kill sales. Conversational SMS gives you a chance to answer at the right moment when your customers are deciding whether to click “buy.”
Let’s say a customer asks, “Can I use this promo code on sale items?” A quick yes (or a helpful alternative) could be all it takes to close the sale.
Do more with fewer resources
Your support team doesn’t need to handle every message manually. Conversational SMS lets you automate repeat questions like “What are your hours?” or “How do I track my order?”That saves your team time and reduces burnout while shortening response times.
Build real trust
When customers know they can text you and get a real response, it builds credibility. That kind of reliability turns one-time buyers into loyal customers. And unlike email or ads, SMS feels personal and immediate.
Real-world use cases
It’s one thing to understand the benefits, but it’s another to see them in action.
Here’s how real brands are using conversational SMS to improve service, boost sales, and build loyalty:
Order updates
Customers want to know what’s happening with their orders without having to ask.
Conversational SMS lets you send updates at every stage (order confirmed, shipped, out for delivery, or delayed).
For example, if a customer texts back, “Can I change the delivery address?” or “Will it arrive before Friday?”, you can respond in real time.
This takes the pressure off your support team and keeps the customer calm and informed.
Tip: Include a tracking link in your message. It cuts down on “Where’s my order?” texts.

Product recommendations
One-size-fits-all promos are no longer effective in this era of hyper-personalized services. Conversational SMS lets you send curated suggestions based on shoppers’ past purchases and even browsing history for minute relevance.
Instead of broad, one-way promos, you can tailor each message to what your customer is actually interested in. That makes your outreach feel helpful instead of pushy.
Take the message from Half Magic Beauty shown below. It introduces a new product variant with a clear visual and a message that responds to customer demand. It’s timely, specific, and visually engaging.

Cart recovery
Abandoned carts are lost opportunities if you do not reach out the right way. Conversational SMS gives you a direct way to bring shoppers back without sounding pushy.
The text message from Hello Molly shown below is friendly, personalized, and straight to the point. The customer gets a quick reminder that she left items in her cart, along with a link to complete the purchase.
This kind of timely nudge feels helpful, not spammy. It shows you’re paying attention and that you care about making the checkout process easier.

Welcome campaign
A well-crafted welcome message sets the tone for the entire customer journey. Conversational SMS lets you ask about preferences, share exclusive perks, or answer quick questions. This is a great opportunity to turn a new contact into a loyal customer from day one.
The example from Clinique is a great starting point. It immediately confirms the customer’s signup, sets expectations for future updates, and teases upcoming offers.
The message also introduces an engaging brand moment by promoting a surprise from their Global Brand Ambassador and inviting customers to join them on Instagram.

Reminder text
Reminder texts are an effective way to keep your audience engaged and on schedule, whether for an event, an appointment, or a deadline.
The message from Becker’s Healthcare reminds recipients about the date and location of their upcoming annual meeting and includes a direct registration link. The tone is professional, clear, and action-oriented.
This type of SMS helps reduce no-shows, boosts attendance, and keeps your brand top of mind. Plus, including a clickable CTA makes it easy for recipients to act immediately without needing to search for more information.

Upsells & cross-sells
Upselling and cross-selling are powerful tactics to boost customer lifetime value and maximize revenue without acquiring new customers. By recommending premium options or complementary products, brands can increase average order value and deepen customer loyalty
This message from Native is a classic upsell.
The customer has already purchased a product. Now, Native is encouraging her to join their subscription program to get that product delivered regularly with a discount of up to 25%. That’s an upsell: offering a higher-value option (subscription + savings) after a purchase.

Features that make conversational SMS work
If you want customers to reply, engage, and convert, your SMS needs the right tools. These are the features that make that happen.
AI chatbot integration for auto-replies
One of the key drivers of conversational SMS is speed, and that’s where AI chatbot integration shines. Automating responses ensures that customers get immediate replies, whether they’re asking a simple “Where’s my order?” query or requesting a product return.
Chatbots can handle common questions, provide status updates, offer product recommendations, and escalate issues to live agents when needed. This reduces wait times, offloads repetitive tasks from human agents, and keeps customer satisfaction high even outside of business hours.
CRM and contact center integration
When SMS is synced with your CRM and contact center systems, it becomes a powerful relationship-building tool. Agents can instantly access customer profiles, previous interactions, and purchase history, allowing for highly personalized and context-aware conversations.
For example, if a customer texts about a delay, the agent can immediately reference their order and respond with accurate updates. This seamless backend integration helps prevent repetitive questions, shortens resolution times, and enables consistent messaging across SMS, voice, email, and chat channels.
Opt-in/opt-out mechanisms for compliance
SMS platforms that support opt-in and opt-out management help you stay aligned with laws like TCPA, GDPR, and CAN-SPAM.
These tools make it easy to capture explicit consent before sending texts, store that consent securely, and allow customers to opt out at any time with a simple keyword like “STOP.”
This not only protects your business legally but also demonstrates respect for your customers’ privacy preferences, boosting credibility and trust.
Personalization tokens
Personalization tokens allow you to automatically insert specific details like the customer’s name, last purchase, shipping status, or loyalty points into SMS messages.
For example, a message that says, “Hi Sarah, your order #1357 is out for delivery,” lands better than “Your order has shipped.”
Message templates for speed and consistency
Message templates let teams respond quickly without sacrificing accuracy or tone. Whether you send shipping updates, payment reminders, support instructions, or feedback requests, templates ensure every message is professional, brand-aligned, and typo-free. Plus, they help maintain a consistent customer experience no matter which agent is replying.
Best practices for a winning conversational SMS strategy
To get real results, brands need a smart, customer-first approach. Here are a few proven best practices to help you get the most out of your conversational SMS efforts:
Start with consent
Always get permission before you message someone. This builds trust and keeps you compliant with privacy laws. Without consent, your messages can feel intrusive and hurt your brand.
Be human
Customers are increasingly comfortable with bots, but they want human backup available when things get complex. Use clear language, a friendly tone, and a real name. A warm, human message is more likely to get a response.
Respond quickly
Customers expect fast replies. A delay of even a few hours can lead to frustration. Set response time goals and use alerts for incoming messages. Quick replies show customers that you value their time.
Personalize messages
Use customer data to tailor every message. Mention their name, recent orders, or past issues. Small personal touches can boost engagement and satisfaction.
Segment your audience
Don’t send the same message to everyone. Group customers by behavior, location, or loyalty. For example, first-time buyers may need onboarding tips, while repeat customers may want exclusive offers.
Track performance
Measure open rates, response times, and satisfaction scores. Are customers replying? Are issues getting resolved faster? Use this data to refine your messaging strategy and double down on what works.
Common mistakes to avoid
Even with the best tools, mistakes happen. Want to get customer sentiment right? Avoid these common pitfalls that can derail your efforts.
Using SMS for one-way blasts only
Treating SMS as a one-sided channel limits its potential. Customers expect two-way communication. If you only send promotions or alerts, you miss the chance to engage, resolve issues, or build loyalty.
Overloading messages with too much info or links
Long texts with multiple links or instructions often get ignored. Keep it short. Focus on one clear message or CTA. For example, link to a single landing page instead of listing all your offers.
Ignoring replies or failing to follow up
If a customer replies and hears nothing back, it signals you weren’t listening. Missed replies damage trust. Set up alerts or auto-assignments, so your team can follow up fast.
Sending texts at odd hours
No one wants a marketing message at 3 AM. Respect time zones and customer preferences. Schedule texts during business hours or based on past engagement patterns.
For US customers, send messages between 8 AM and 9 PM in the recipient's local time zone (required by TCPA law), with optimal engagement typically occurring between 9 AM and 11 AM and 5 PM and 8 PM on weekdays.
Create richer conversations with Plivo
Ready to implement the conversational SMS strategies covered in this guide?
As an all-in-one omnichannel communications platform, Plivo makes it simple to turn these best practices into real results.
From the AI chatbot integrations to the personalization tokens that make messages feel human, Plivo has built these capabilities directly into the platform:
- AI-powered auto-replies that handle common questions instantly
- Smart personalization using customer data and purchase history
- Compliance automation for TCPA and GDPR requirements
- Real-time analytics to optimize your messaging performance
Plus, you get all the foundational SMS features that make two-way conversations possible:
- Two-way messaging with keyword opt-ins/opt-outs
- Message templates and smart scheduling
- CRM integrations for personalized responses
- Global delivery across 190+ countries
Perfect for businesses ready to move beyond broadcast SMS and start having real conversations that drive results.
Turn every text into a conversation that converts. Book a demo now.
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What is Conversational Marketing? A Guide to Benefits, Strategies, and Best Practices
Learn what conversational marketing is, including its benefits, strategies, and best practices, in this guide. Discover how it can enhance your customer interactions.
Conversations are how people buy now. They don’t wait through long forms or callbacks anymore. Instead, they turn to quick, direct messages — whether they’re browsing products, asking about pricing, or checking delivery timelines.
Many teams already use live chat, chatbots, or automated messaging, but conversational marketing goes beyond those tools.
Unlike simple chatbots that follow preset scripts or automated messages triggered by generic rules, conversational marketing focuses on continuous, personalized, and context-driven interactions. It blends automation with real-time responsiveness to create a more natural dialogue that adapts to each customer’s unique needs.
In this guide, we’ll delve into how conversational marketing benefits your business, the limitations of using traditional tools, and how Plivo AI agents enhance your conversational marketing strategy.
What is conversational marketing?
Conversational marketing is a real-time, personalized approach to engaging customers through the communication channels they already use, like SMS, WhatsApp, RCS, website chat, and voice assistants.
Unlike traditional marketing, which pushes one-size-fits-all messages to broad audiences, a conversational marketing strategy creates two-way, context-rich dialogues that feel more like natural, human conversations.
Conversational marketing examples include a brand recommending products over WhatsApp, sending order updates via SMS, and answering follow-up questions through live voice support. Each touchpoint builds on the previous one, creating a consistent customer experience.
The role of AI and human agents in scaling and personalizing conversations
As customer expectations continue to rise, businesses are under pressure to deliver fast, personalized support without ballooning operational costs. The combination of AI and human agents helps companies balance speed, scale, and empathy in every customer interaction.
Here’s how they work together for a consistent conversational marketing strategy:
AI delivers scalable, 24/7 customer support
AI chatbots help businesses support customers around the clock. They handle repetitive tasks, such as answering common questions, qualifying leads, and guiding users through your funnel. AI keeps prospects engaged, reducing wait times and boosting conversion rates without extra headcount.
Plus, it delivers consistent messaging across communication channels and collects insights to refine your marketing and sales approach.
Human agents bring empathy and problem-solving
While AI handles routine conversations, human agents are crucial for the nuanced aspects of marketing, including building trust, addressing objections, and handling unique customer concerns.
When conversations get tricky, sensitive, or require complex solutions, humans step in to connect on an emotional level, nurturing prospects into loyal customers.
This human touch is more important than ever. In the U.S., even when people love a company or product, 59% will walk away after experiencing several bad interactions, and 17% will do so after just one. That’s why blending automation with empathy ensures every conversation feels authentic and valuable.
AI makes personalization easy at scale
AI leverages natural language processing (NLP) and machine learning (ML) to understand your customers’ behaviors, preferences, and past interactions. It can recommend products, customize offers, or deliver hyper-relevant messages all in real time.
These capabilities make every conversation feel like a one-on-one, even when you're engaging thousands. As AI learns and adapts, the marketing experience becomes increasingly intelligent, intuitive, and human-like.
Limitations of traditional conversational tools
Traditional conversational tools present challenges that can undermine customer experience and marketing effectiveness. These include:
Human teams can’t work around the clock
Human support teams face natural limitations, such as working hours, fatigue, and staffing constraints, that prevent them from offering 24/7 assistance. As a result, customer inquiries made outside of business hours often go unanswered or are delayed, leading to a poor customer experience and missed opportunities for engagement.
AI-powered systems also provide always-on support at scale, handling multiple conversations simultaneously.
Chatbots lack intelligence and context
Basic chatbots work using fixed scripts or rules; they don’t understand what users mean and can’t handle questions that don’t follow their script. The result is often repetitive or off-topic responses.
In fact, recent studies show that only 8% of people use chatbots, and just 25% of those said they would use that chatbot again.
Even though companies are spending more on chatbots, many still don’t help users get what they need. AI customer service chatbots that utilize NLP and ML are effective, but they still struggle to recall past interactions or pick up on subtle details in what people say.
Separate systems lead to poor personalization
When conversational tools operate in silos separate from CRMs, customer databases, or other business systems they lack the data needed to deliver personalized experiences. This disconnect results in generic interactions that overlook a customer's history, preferences, or previous interactions.
Without personalization, users feel like strangers each time they engage, which weakens trust and loyalty.
Integrating these tools with broader business systems is essential for delivering meaningful, context-aware conversations, but achieving seamless integration remains a significant technical and organizational challenge.
Slow responses kill conversions
When customers face long wait times, whether due to human agent limitations or sluggish bot performance, they’re more likely to drop off before converting. Traditional tools can fall short if they rely on backend processing or require escalating issues to human staff.
Conversational marketing helps by responding to routine questions, routing complex ones, maintaining engagement, and enhancing conversion potential.
Plivo’s AI agent framework for conversational marketing
Plivo’s AI agents work like expert team members for your business, available 24/7 to engage with your customers, assist them, and ensure satisfaction. These AI agents are trained on your brand’s information, like your products, customer history, and FAQs, so that they can have natural, personalized conversations.

They learn what customers need and give helpful, personalized responses. They also reflect your brand’s unique voice and can be customized to match your style and tone.
3 core capabilities of Plivo’s AI agents
Plivo’s AI framework has three key capabilities that align directly with your business’s growth journey. Each represents a specialized AI agent tailored to optimize critical customer touchpoints. Here’s a closer look.
1. Convert: Turning conversations into revenue

Sam is your digital sales professional, trained to qualify leads, recommend the right products, and nudge customers toward purchase completion. Capabilities include:
- Abandoned cart recovery: Detects when customers leave without completing a purchase and sends timely, personalized reminders with incentives or information to encourage them to return.
- Product queries and pricing questions: Provides instant, accurate answers 24/7, reducing friction and accelerating buying decisions.
- Multi-language support: Engages a diverse customer base, breaking language barriers with fluent, localized conversations.
- Always-on availability: Ensures potential customers are attended to regardless of time zones or business hours.
2. Engage: Orchestrating timely, personalized outreach

Campbell specializes in behavior-driven marketing automation, delivering personalized campaigns triggered by real-time customer behavior and lifecycle events. Key functions include:
- Behavioral triggers: Launches precisely timed SMS, WhatsApp, or chat campaigns based on user actions, such as browsing a product category or subscribing for updates.
- Lifecycle messaging: Sends personalized messages for birthdays, restocks, and post-purchase follow-ups, making customers feel valued and engaged.
- Cross-channel orchestration: Manages campaigns across multiple channels, ensuring consistent, on-brand communication without manual intervention.
Campbell enables businesses to maintain meaningful, proactive engagement that nurtures relationships, drives repeat purchases, and builds customer loyalty at scale.
3. Delight: Support that drives loyalty

Jolie is your always-on concierge, ensuring customers feel supported throughout the post-purchase journey. From onboarding to troubleshooting and returns, Jolie ensures high satisfaction and low churn rates.
Here are some capabilities:
- Onboarding assistance: Provides new customers with personalized guidance and answers to common setup questions.
- Post-sale support: Manages returns, exchanges, troubleshooting, and FAQs with instant solutions based on your business rules and knowledge base.
Sentiment detection and escalation: Utilizes AI-powered sentiment analysis to identify frustrated or dissatisfied customers, escalating complex issues to human agents before they escalate.
How Plivo AI agents work with the customer data platform (CDP)
Plivo’s AI-powered CDP is designed to unify, analyze, and activate customer data in real time, helping businesses create personalized and impactful customer interactions across various channels, including SMS, WhatsApp, voice, and chat.
Here’s a detailed breakdown of how it works:
Unified customer profiles in real time
Plivo’s CDP integrates customer data from multiple sources, including CRM systems, e-commerce platforms, support tools, and analytics services, into a single, unified customer profile.
Every piece of customer information, from purchase history to browsing behavior, is brought together and updated. This “one customer, one story” approach ensures data is clean, connected, and ready to power personalized engagement.
The platform supports over 350 integrations with popular tools like Salesforce, HubSpot, Zendesk, Marketo, and more. This makes it easy to plug in and start managing your customer data without needing a dedicated IT team.
Behavioral segmentation and custom attributes
The platform uses behavioral segmentation to categorize customers based on their actions, such as purchases, message interactions, and engagement history. These segments update automatically, ensuring your targeting is always precise and current.
Additionally, you can define custom attributes for your business needs, such as subscription tiers, purchase frequency, or VIP status, to personalize messaging.
Real-time event tracking
Every customer action, whether it’s a click, a purchase, or a chat inquiry, is captured by Plivo’s real-time event tracking. This continuous stream of data feeds into the customer profiles, enriching them and triggering automated campaigns that respond immediately to customer behavior.
For example, if a customer abandons a shopping cart, Plivo can send an SMS reminder with a special offer to encourage them to complete the purchase.
AI-driven messaging across channels

Plivo’s AI agents use these rich, unified profiles to deliver personalized, consistent messages across multiple channels, including SMS, WhatsApp, voice, and chat.
AI powers automated conversations and outreach that feel natural and data-driven, helping businesses engage customers at the right time with the right message.
Automatic campaign triggers
Plivo monitors customer activity and then sends reminders, onboarding messages, support follow-ups, or promotional offers at precisely the time the customer is most likely to respond.
Choose Plivo’s AI agents for conversational marketing
Conversational marketing is crucial for connecting with your customers and keeping them engaged throughout their entire customer journey. To achieve this effectively, businesses need reliable tools that can manage real-time interactions and deliver personalized experiences.
Plivo works for businesses of any size to convert leads and keep prospects engaged 24/7 with its AI agents. These agents (Sam, Campbell, and Jolie) act as an extension of your team and are always ready to help. Whether it’s bringing back people who left items in their cart, running timely campaigns, or offering real support, these agents handle it all.
Plus, Plivo’s CDP makes every conversation feel personal, relevant, and consistent without requiring extra work from your team.
Get started for free today and see how Plivo changes the way you connect with customers.

How RCS Pricing Works For Business Messaging
Learn RCS pricing structures, calculate costs, and maximize ROI for your business messaging campaigns with Plivo.
If you're used to the clear-cut pricing of SMS or email, rich communication services (RCS) will throw you a curveball.
There’s no universal rate card or neat pricing table for RCS.
Frustrating? Maybe. Is it worth it? Absolutely.
While businesses lose millions on ineffective channels, RCS is projected to generate $8.7 billion in revenue by 2029, and for good reason. It transforms plain text into rich, branded conversations with buttons, carousels, verified business profiles, and more — all inside your customer’s default messaging app.
This guide breaks down how RCS message charges work, why it’s worth navigating the complexity, and ways to make smart, cost-effective decisions for your business messaging strategy.
What is RCS pricing?
RCS pricing refers to the cost businesses pay for implementing RCS messaging services. The structure depends on three main factors: how many messages you send, which features you activate, and your carrier's rates.
Providers charge businesses based on messages delivered or offer bundled packages with different pricing tiers. RCS costs more than SMS because it includes rich media features, such as read receipts, suggested replies, and branded elements.
The higher costs often pay off through increased engagement and better user experiences.
RCS pricing reality
You won't find a standard RCS price list like you would for SMS or email. RCS doesn't work that way.
Mobile carriers control RCS pricing individually. That means, costs vary wildly between regions, operators, and even message volumes.
Your RCS campaign in the US might cost a completely different amount than the same campaign in Europe or Asia. Each carrier sets its own rates based on local market conditions, infrastructure costs, and competitive positioning.
What does this fragmented approach mean? You can't budget RCS like SMS. Each market requires separate cost analysis and carrier negotiations.
The 3-tier architecture determines RCS messaging costs
Mobile carriers use a three-tier system that directly impacts your costs based on message complexity and user engagement patterns. Let’s go over these tiers below.
Tier #1: Basic messages - Text-only communication

Basic messages are text only, limited to 160 characters — think SMS, but with RCS-style branding and verification. You pay per message sent, regardless of whether customers respond. Here’s what they work best for:
- One-time passwords
- Delivery notifications
- Quick alerts
- Simple promotional offers
The cost stays predictable. Send 1,000 basic messages, pay for 1,000 basic messages.
Tier #2: Single messages - Rich content and extended text

Single messages include multimedia content, rich cards, or text exceeding 160 characters. You still pay per message under non-conversational billing. These messages are ideal for:
- Product catalogs with images
- Video demonstrations
- Rich media announcements
- Detailed promotional content
Tier #3: Conversational messages - Session-based pricing

Conversational messages enable back-and-forth exchanges within 24-hour windows. When a customer replies to your message within 24 hours, a conversation session is initiated. During this session, you can exchange unlimited messages for one flat rate.

Carriers track these interactions as A2P (application-to-person) events when you send messages and P2A (person-to-application) events when customers reply. Under conversational billing, these events get bundled into conversation sessions rather than being charged separately.
You'll use conversational messaging for:
- Customer support interactions
- Product discovery and recommendations
- Booking processes requiring multiple steps
This creates the most complex pricing structure but offers the best value for extended interactions. If customers don't respond within 24 hours, you pay per individual message. However, if they do respond, you pay one conversation rate covering all messages in that 24-hour window.
TL;DR: RCS business messaging pricing
Here’s a quick summary to make RCS charges easier to understand.
What influences RCS messaging costs?
Your RCS costs come down to five main factors, each with a different impact on your total bill. These include:
- Service provider and platform costs: Some RCS providers offer lower per-message rates but charge setup and maintenance costs. Others may charge higher but provide advanced features and customization options.
- Cross-border messaging rates: International RCS costs more than domestic messaging. Rates change based on the recipient's location and your provider's carrier agreements.
- Content complexity and media features: Rich media like images and videos may incur additional costs depending on file size, format, and quality. Features like read receipts, location sharing, or appointment scheduling can also add up.
- Message volume and sending frequency: Providers charge per message or by monthly rates. More messages mean higher costs. Frequent sending (outside of the 24-hour window) also increases your bill.
- Compliance and regulatory requirements: Regulations like the General Data Protection Regulation (GDPR) increase provider costs, which get passed to you. Some countries require providers to offer messaging services at specific prices, limiting pricing flexibility.
RCS vs. SMS vs. MMS vs. OTT: Which offers the best value for your investment?
You need to understand how RCS stacks against other messaging channels to make smart budget decisions. Here's the breakdown.
Take a look at what RCS brings to the table:
- RCS chat features work seamlessly in customers' default messaging apps without the need for additional downloads.
- Verified business branding replaces anonymous phone numbers.
- Interactive elements and rich media generate higher engagement than text-only SMS.
- The platform reaches more people than fragmented OTT apps.
So, the real value here is that RCS combines app-level features with SMS's universal reach.
Choosing the right RCS business messaging provider
Brands are expected to spend $52.5 billion on RCS, equivalent to around 16% of the total digital ad spend. The opportunity is massive, but capitalizing on it starts with the right partner.
Here’s how you choose your provider wisely to capture this opportunity.
Calculate your message volume first
Count your expected monthly messages. Include promotional messages, order updates, and appointment reminders, and consider how often you'll send each type.
Your volume determines which pricing model costs less. Providers charge per message or offer flat monthly fees for unlimited messaging.
If you send over 10,000 messages monthly, subscriptions typically cost less; Or if you send fewer than the subscription break-even point, choose pay-per-message.
Compare pricing models and features
Evaluate what each provider includes in their base plan. Some offer basic message delivery. Others include chatbots, CRM integration, and analytics dashboards.
Match your business needs with the provider’s capabilities. For example, a simple notification service doesn't require advanced analytics. Nevertheless, if the purpose behind RCS is customer service operations, you’ll benefit from chatbot integration and detailed reporting.
Compare RCS and SMS returns
Calculate the return on investment (ROI) for both channels.
RCS costs more but offers engaging, interactive experiences, and you can track customer behavior with conversational analytics. On the other hand, SMS costs less and works for simple messaging, but it only provides basic delivery reports.
Consider multimedia content creation costs for RCS. If these costs exceed your expected returns, RCS may not be a suitable option for your business.
Ultimately, the choice depends on your business needs and goals. Assess your messaging requirements and evaluate returns for each option before moving forward.
Get started with Plivo for custom RCS pricing
Starting with RCS is simpler than you think, especially if you already use SMS marketing.
The key is picking the right messaging partner and focusing on use cases that align with your needs. Start with basic RCS messages before moving to conversational campaigns.
Plivo's RCS API integrates directly into your existing communication stack. You can start sending interactive, branded messages that boost engagement and drive conversions without overhauling your infrastructure. When RCS isn't available, messages automatically fall back to SMS at standard SMS rates.
You can pair RCS with AI Agents to automate FAQs, deliver personalized recommendations, and resolve queries around the clock. Our no-code solution lets you launch AI Agents quickly across multiple channels.
Talk to us to get a custom RCS pricing quote.
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