
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.

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!

Plivo Supports Cutting Edge Passwordless Security Application
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
“Most data breaches are successful because today’s popular security systems are inflexible and don’t allow organizations to react immediately,” says Sid Prasanna, CEO of FlexSecure. Prasanna and his team set out to build an authentication application that was different, and he’s confident that FlexSecure’s passwordless and “flexible pin” approach to authentication is one of the most advanced security applications on the market. FlexSecure uses Plivo technology for user notifications.
“The reason why it’s easy to hack into accounts is because most of the current security solutions have static credentials and inflexible policies, so ultimately accounts can be compromised by brute force. That’s not the case with FlexSecure,” Prasanna says.
When talking about authentication, Prasanna likes to use a house analogy. “If you only have security at your front door, then once that’s breached an intruder can steal everything in your house. With our application, you can have unique authentication methods on your front door and every room in your house, so if your front door is breached, the bulk of your house can still be secure and intruders can’t steal everything from you.”
FlexSecure enables organizations to mix and match user authentication methods to protect cloud, mobile, and internal applications. FlexSecure is quickly integrated with business applications — typical integration takes less than a day — and is unique in that it uses passwordless security with a “flexible pin” option. FlexSecure doesn’t require end users run an application, so administrators can change authentication policies and pin structures dynamically, in near real time, without impacting the user experience. “At the end of the day, it’s a win for everyone — IT can be proactive or responsive, and the end user doesn’t have to remember any passwords.”
To offer user notification, FlexSecure turned to Plivo. “We decided to integrate Plivo’s SMS API with our application because we liked their support, scalability, and pricing,” Prasanna says.
Plivo helped FlexSecure with onboarding. With support from Plivo’s technical team, FlexSecure integrated the SMS API in less than a day. Plivo also helped FlexSecure with whitelisting all major mobile communications companies.
“We’re a security company, not a telecom company, which means we appreciated that Plivo took care of the complicated telephony infrastructure and carrier relationships,” Prasanna says.
“Our goals with FlexSecure are to offer a data security platform that is easy to use, while being flexible and effective. Using Plivo’s SMS capabilities helps us realize these goals and supports our mission to help companies across all industries improve authentication processes and minimize data breaches.”

Introducing Plivo iOS SDK v2
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
The Plivo iOS SDK v2 has launched in public beta. iOS SDK helps you make and receive calls in your iOS applications. This SDK is compatible with devices running iOS version 8 and higher.
One major enhancement in Plivo iOS SDK v2 is that it supports Pushkit and Callkit, meaning applications built using the SDK can receive incoming calls using Apple VoIP Push notifications. Pushkit also eliminates the need for persistent connections to receive incoming calls, thereby reducing device battery consumption by the application. Using Callkit, applications built on the new SDK can now handle VoIP calls with the same level of priority as that of a PSTN call.
To receive an incoming call using Pushkit, you just set up your push credentials, then handle push notifications using the Plivo SDK.
We’ve created a guide to setting up push credentials in the Plivo console. You can refer to our SDK Reference for more information about APIs for handling the push notification. We’ve also developed a full-fledged sample application in Swift that implements all the features of the SDK.
You can get started with the SDK by installing it manually or by using Cocoapods. For manual installation, download the SDK and refer to our installation guide. Alternatively, use our Cocoapods to integrate your application with the SDK.

Introducing Browser SDK 2.0
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
We’re thrilled to announce the general availability of Browser SDK 2.0, the next version of our web SDK, which enables you to integrate the ability to make and receive calls into your web applications. It provides three major new benefits:
- Web applications that embed the new SDK can now provide details on call quality.
- The SDK supports collecting real-time feedback from users about things like audio quality, caller ID, and digits entered during the call.
- The SDK offers better flexibility for the developers to reduce CPU utilization, improve QoS, and configure the application based on user needs.
Let’s look at each of the benefits in a little more detail.
Visibility into call quality metrics
Whenever an application makes or receives a call using Browser SDK 2.0, the application can track metrics such as latency, jitter, packet loss, and mean opinion score (MOS). Tracking these metrics helps in both assessing the quality of the call and debugging issues.
The SDK also detects real-time network issues using these metrics. These issues are provided as events that your application can handle.
Gather user feedback on the call
You can now collect feedback on calls from end users by using the SDK. Feedback is taken in a five-point scale, with predefined reasons spanning across audio quality, caller ID, and digits entered. Since this feedback is associated with a callUUID, it’s easy to aggregate and act on issues that end users face.
New features for developers
Browser SDK 2.0 offers more flexibility to developers to tailor their applications. With the new SDK developers can now:
- Enable or disable AEC and AGC in Chrome to adjust microphone levels and amplify the audio to make a call clearer. This helps when CPU utilization is required to be low.
- Enable or disable Differentiated Service Code Point (DSCP), which helps in managing QoS if DSCP is supported.
- Configure input, output, and ring devices using our Audio Device API.
- Override the default GeoIP location and explicitly set the user’s current region, which can help Plivo route calls through the nearest servers, thereby reducing audio latency.
- Detect audio issues such as one-way audio or no microphone access and expose them as events that can be handled by the application.
- Retrieve additional call details to debug and troubleshoot issues.
Performance improvements
We’ve also made a couple of performance improvements. The SDK now reduces CPU utilization by 15% by using microphone access on demand. And it supports the Opus codec, which is tolerant of network issues, so call participants won’t experience noticeable issues in audio quality even at 20% packet loss in their network.
Browser SDK 2.0 supports Firefox 51 and above and Chrome 55 and above. It’s not backward-compatible with Browser SDK v1. Browser SDK v1 will be deprecated at the end of 2017.
To help you get started with Browser SDK, we’ve built sample applications that demonstrate its features. Visit the Browser SDK documentation page for a complete list of features and information on implementing them.

SMS Merge with Google Sheets and Plivo
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
Want to send personalized SMS messages to customers right from Google Sheets? You can do it with a little help from Plivo and this SMS automation power sheet. We used Google Apps Script to create an SMS merge feature for Google Sheets.
To use Plivo’s messaging script, you must have a Plivo account, and an SMS-enabled phone number with which you can send messages to your customers. If you don’t have an SMS-enabled number among the numbers on the Phone Numbers page of the console, click Buy Number to get one.
Create a sheet
Now create a new Google Sheet, then click Tools > Script editor to start a new Apps Script project. Copy the content of the scripts.gs file in our GitHub repository and paste it into work area in place of the empty function that Apps Script starts with.

At the top of the file, replace the placeholders XXX.YOUR.AUTH_ID.XXX and XXXXXXXXXXXX.YOUR.AUTH_TOKEN.XXXXXXXXXXX with the Auth ID and Auth Token values for your account, which you can find on the overview page of the Plivo console.
Save the project that contains the Apps Script. Give it any name.
Save the code

Now reload the Google Sheet.

You should see two new sheet tabs at the bottom of the file called Data and Template. The Data sheet has several columns, each of which will be populated with the details of the Send Message API response for that specific row.
You can associate placeholders in your message template with custom columns on the Data sheet. The placeholders will be dynamically replaced with values found in custom columns with the same name. You can add as many custom columns as you like. This is at the core of the SMS merge functionality.

The Template sheet contains the SMS template in the A2 cell. Use the names of any custom columns you create on the Data sheet as placeholders in your template.
To try out our sheet, we created placeholders named NAME, COUPON_CODE, DISCOUNT, and STORE, the actual values of which the script picks up from columns in the data sheet with the same names.
Note that placeholders should be enclosed within double braces in the template, as you can see in the image above.
When you’re done, click on Plivo Messaging > Validate Message Template to check for errors in the message template.

Put data in the sheet
Enter values for all of the columns that are part of your SMS template.

Send messages
When the sheet is ready, click on Plivo Messaging > Send Messages.

The code behind the scenes
Now that you’re familiar with how to set things up, let’s see how we put it together using Apps Script functions to make API calls to Plivo to send the messages.
Sending messages
sendMessages(data) takes a list of row data objects and processes each object one by one.
Let’s walk through this line by line.
This line creates a Base64-encoded token that we send with every API call to authorize Plivo API requests.
This for loop iterates over the list of objects and does several operations:
- Creates a temporary message object containing the source number, destination number, and message text. The message text is generated by the createMessage function, which merges the template with the placeholders. More details on that in a moment.
- Attempts to deliver the message via the Plivo API.
- Tracks the success and failure counts.
Once we have success and failure counts, we report them.
Creating messages
The createMessage function iterates over all custom headers. If the custom header is found in the message template then that placeholder is replaced with the actual value. At the end it returns the final message.
Let’s see how it works using an example.
Suppose we call createMessage(data,template_data) where data and template_data are:
Then createMessage(data,template_data) will return text
API call to send message
The trySMS function, which calls the API to send messages, takes four parameters:
- task, which is the temporary object created by sendMessages()
- row, the row number for which the function is to run
- AUTH_ID, the Plivo account Auth ID
- TOKEN, the Plivo account Auth Token
The first line creates an API call object options that contains all the HTTP parameters required to make the API call to Plivo.
UrlFetchApp.fetch is Google’s predefined function to make API calls. It returns the HTTP response.
Winning with automation
Google Sheets plus Google Apps Script makes an awesome combination that you can use to automate tasks and workflows. We hope you find our SMS sender for Google Sheets useful.

Announcing Improved Voice Quality for Plivo SDK-based Apps
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
Following the December rollout of our new Voice 2.0 Infrastructure, our team continues to add features and upgrades to improve voice quality. As of today, our Browser SDK supports the Opus codec, which is the best-in-class audio codec for a wide range of voice applications. All applications that use the Plivo Browser SDK for inbound and outbound calling will automatically use Opus as their default codec. Soon we’ll launch Opus support for our Mobile SDK and Zentrunk SIP trunking as well.
Why the Opus codec?
We’ve optimized the opus encoder with reduced complexity on our Plivo network side to reduce decoder complexity on customers’ browsers. We’ve also optimized sampling rates, leading to decreases in browser sampling frequency and thus providing better performance on the browser. All of our optimizations also save bandwidth.
We’ve captured these audio samples that compare how Opus and the PCMU (G.711) codec deal with varying degrees of packet loss. The first sample, with 0% packet loss, sets the baseline for comparison. With increases in packet loss, Opus’s superiority stands out. Even at 30% packet loss, Opus still delivers comprehensible dialogue.
Opus is also efficient. Instead of the 100Kbps of bandwidth our prior WebRTC SDK codecs used, Opus uses 50Kbps. Your application will experience decreases in jitter, latency, and packet loss, and despite poor network connections, your users will experience better voice quality.
What is Opus?
Opus is an open source audio codec that’s optimized for speech and music transmission over the internet. Audio codecs are software that compress and decompress digital audio signals for transmission. These codecs depend on mathematical algorithms and are graded on their ability to retain audio quality while encoding and compressing audio signals.
Opus is highly effective at reducing bandwidth consumption and CPU usage during audio transmission while maintaining high-fidelity audio signals. It’s known for its ability to handle a variety of VoIP audio applications, including conferencing, help desks, and click-to-call applications.
Why is Opus awesome?
Opus was built to fill the gaps of existing audio codecs, which were not optimized for bandwidth, CPU usage, and the varying bitrates and frame sizes that are needed for next-generation WebRTC-based audio applications. Even though Opus is not new, its high quality and low latency performance have propelled its popularity among applications that use WebRTC. Google’s Chrome browser has adopted Opus as its default codec, and Firefox, Opera, and Chromium browsers all support Opus for WebRTC as well. Because of this broad support, more and more WebRTC applications have been adopting Opus to transmit speech over the internet.
Here’s how Opus stacks up against other popular codecs, per its creators Jean-Marc Valin (Mozilla/Xiph.Org), Koen Vos (vocTone), and Timothy B. Terriberry (Mozilla/Xiph.Org). As illustrated below, Opus has the lowest delay (26.5ms by default), flexible bitrate, and a broad range of bandwidth support (narrowband to fullband), and it’s optimized for real-time communication.

Extreme audio optimization
Opus can adjust bitrate, audio bandwidth, and frame size dynamically on live calls. This support for a range of bitrates, frame sizes, audio bandwidths, sampling rates, and multistream frames ensure that a wide variety of applications can use Opus to transmit audio. This flexibility allows Opus to compensate for varying internet speeds and issues that users could experience without notice. For example, if a user has a congested Wi-Fi router or experiences low network bandwidth, Opus can automatically and seamlessly switch to a lower bitrate for smaller bandwidth consumption.
Errors and packet losses are unavoidable when complex systems interact. Opus has many features and strategies to mitigate poor audio quality during low network connections.
Reduced jitter
Ideally, in a perfect high-bandwidth, low-latency environment, the network should deliver a steady stream of packets on a continuous basis. However, even if audio data is being transmitted and played in the right order but not played to the exact timing, sound distortions can occur. Here’s an illustration comparing a steady stream of packets during zero congestion versus the same audio transmission (i.e., same packet stream) in a congested environment.

VoIP applications can experience a lot of jitter because high fidelity audio requires high bandwidth. However, even in the event of packet loss, Opus has built-in features such as Packet Loss Concealment (PLC) and dynamic frame sizes to mitigate the symptoms and detection of jitter by the human ear.
When voice is transmitted over IP, packet loss can occur during decoding. Opus can use PLC to mask the effects of packet loss. When the codec detects that a packet is missing, Opus can use several PLC strategies to hide gaps in lost information. Opus can replace lost speech frames with zeros (i.e., zero insertion), reconstruct missing gaps by repeating a portion that has been successfully received (i.e., waveform substitution), or use speech models and algorithms to fill gaps in speech (i.e., model-based methods). These strategies are especially important for calls to and from areas of low bandwidth networks or Wi-Fi congestion.
Lower latency
The human ear can detect latency greater than 250ms. While 300ms is considered industry wide as poor latency, the International Telecommunication Union recommends that latency should be kept below 150ms to ensure that symptoms of poor voice quality doesn’t affect calls. Our platform is optimized to deliver connectivity under 50ms to all customers around the globe, and support for high value audio codecs such as Opus plays a large role. Opus solves latency issues by supporting variable and constant bitrates and being able to adjust bitrates dynamically.
- Support for variable bitrate (VBR) and constant bitrate (CBR). Voice transmission requires a variable bitrate — the ability to change bitrate dynamically to adapt to the audio being encoded. VBR can help achieve a lower bitrate for the same voice quality, which means that it can consume less bandwidth than CBR, leading to improvements in audio quality.
- Dynamic bitrates from 6Kbps to 510Kbps. Opus will adjust its bitrate between 6 to 510 kilobits per second (Kbps) according to packet loss and round-trip time (RTT) reports during live audio transmission. If an audio call is experiencing increased packet loss and long RTT, then Opus will automatically switch to a lower bitrate to compensate and reduce congestion. The ability to change bitrates dynamically ensures that applications consistently deliver high voice quality and clarity.
Better packet loss concealment
Mitigating packet loss is especially important in real-time communication, because there’s no time to resend missing packets. Even low levels of packet loss can cause unnecessary breaks in audio; when packet loss is severe, complete sentences could be missing. Even though Opus cannot alleviate packet loss, it can mask the symptoms with reconstruction algorithms like forward error correction (FEC) and other PLC strategies.
- Forward error correction (FEC). FEC can improve audio quality because it can reconstruct a missing packet from information from neighboring packets that were previously or subsequently transmitted.
- Flexible error propagation. In the event of packet loss, other audio codecs utilize long-term prediction (LTP) filter states that spend more bits throughout the packet, which requires significant increases in bitrate and delay. To mitigate this, Opus reduces LTP filter states to the beginning of a packet, spending more bits only during the first pitch period, but saving bits throughout the packet transmission. This decreases potential voice quality issues and allocates more bandwidth to transmission.
Reduced audio bandwidth
Bandwidth is the amount of information that can be transmitted over a period of time. The larger the bandwidth the more data can be transmitted. Increasing bandwidth can lead to better audio quality. Strategies for better utilizing bandwidth include transmitting more data each time, transmitting the same amount of data faster, or reducing the amount of data that needs to be transmitted. Opus deploys discontinuous transmission (DTX) to reduce the amount of data being transmitted during periods of silence.
Most audio calls have intermittent pauses and periods of silence, therefore by reducing the packet rate during silence can save bandwidth and CPU usage. DTX give Opus the ability to detect silence and reduce packet rates when no one is speaking. Then, when audio resumes, Opus can increase the packet rate seamlessly.
Opus’ adaptability and robustness makes the codec suitable for VoIP applications running on stand-alone software or web browsers. See for yourself and let us know what you think.

Introducing SMS Error Codes: Better Visibility into Your SMS Delivery
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
Plivo now provides detailed SMS error codes for every outbound SMS text message that fails to be delivered. These error codes can help you understand the reasons for delivery failures and troubleshoot issues with your outbound SMS messages.
Message states and SMS error codes
When you send an SMS message from your application to Plivo’s servers, we queue it up to send it to our carriers at an appropriate rate that meets their compliance requirements, and we pass your application the message_state queued. Upon successfully sending your message to our carriers, we update the message_state to sent. Once the destination carrier reports that it has received the message, we update the message_state to delivered.
This, of course, is the ideal scenario in which everything works as it should. However, in systems involving multiple layers, where messages may traverse multiple downstream carriers before delivery, errors can occur — and when they do, we wanted to have an easy way for our customers to diagnose and resolve any issues. That starts with identifying the source of the problem, which is where SMS error codes come in.
Plivo sends SMS error codes at each stage of the delivery process, depending on the message_state returned. That is, if delivery is unsuccessful when we tried to deliver a message to a carrier, the message_state will be updated from queued to failed and an accompanying error_code will be given.
If a message is successfully sent to the carrier, it can still hit roadblocks that can cause the SMS to fail. In this scenario, the message_state would change from queued to sent, then to undelivered, which is also accompanied by an error_code.
Here’s an illustration of the delivery path and the message_states that can occur.
When there are issues with SMS delivery, some carriers alert us with a delivery report that may include information about the failure. However, we work with carriers in hundreds of countries, and each of them has a different method and frequency of reporting information about SMS failures. Some carriers send error codes for nearly every undelivered SMS, while others send them for fewer than 5% of undelivered messages.
Because there’s no standard for reporting error codes and not all carriers support delivery reports, we can’t control the delivery, quality, or frequency of error reporting. However, for the error codes we do receive, we wanted to build a model so that our customers could have a standardized way to identify delivery issues. To do that, we aggregated all the error codes from each carrier and mapped them to a set of error code categories that capture the entire spectrum of potential issues with SMS deliverability. Now, when a carrier reports an SMS error while trying to deliver your text message, it’s mapped to one of our standardized SMS error codes.
For every SMS message that you send through the Plivo platform, Plivo now returns a message_state of queued, sent, delivered, failed, or undelivered, and we provide an SMS error code in the error_code parameter when messages have failed or were undelivered.
Message states and error codes are sent to the callbackUrl set in your application. To retrieve the details of a specific message, make an HTTP GET request to the Message API with the message_uuid appended to the BaseURI. Alternatively, visit the Messaging > SMS Logs page of the Plivo console.
Here are the SMS error codes that we return. You can find an updated list of error codes in our documentation. Going forward, whenever your text message doesn’t reach its destination, refer to the SMS error code to identify the issue.






