Fonada AI is an omnichannel AI agent platform that enables businesses to build and deploy conversational AI agents across WhatsApp, Voice Telephony, RCS Messaging, Web Widget, and Chatbot channels in under 5 minutes. It features a no-code flow builder, RAG knowledge base, 70+ tool integrations, and automated workflows for customer engagement.

What is RCS messaging?

RCS (Rich Communication Services) is the next-generation upgrade to SMS. Unlike traditional SMS limited to 160 characters of plain text, RCS supports rich media (images, videos, audio), interactive buttons, carousel cards, and verified sender branding. RCS achieves 85%+ open rates compared to SMS's approximately 20%, making it highly effective for business messaging.

How long does it take to set up an AI agent on Fonada?

You can build and deploy a fully functional AI agent in under 5 minutes using Fonada's no-code platform. The process involves four simple steps: Choose your channel (WhatsApp, Voice, RCS, etc.), Configure your AI (personality, behavior, LLM provider), Add knowledge (upload documents or connect data sources), and Deploy. Your agent is immediately live and ready to serve customers.

What channels does Fonada support?

Fonada supports 5+ communication channels: WhatsApp Business API with templates and rich media, RCS Messaging with rich cards and carousels, Voice/Telephony with real-time speech-to-text and text-to-speech, Web Widget with voice and chat capabilities for websites, and text-based Chatbot for any platform. Deploy once and engage customers everywhere.

What is the difference between SMS and RCS?

SMS is limited to 160 characters of plain text with no media support, while RCS supports 8,000+ characters, rich media (images, videos), interactive buttons, carousel cards, and verified sender branding. RCS has ~85% open rates vs SMS's ~20%, and ~35% click-through rates vs SMS's ~2%. RCS also provides read receipts and typing indicators that SMS lacks.

Is Fonada SOC 2 compliant?

Yes, Fonada is SOC 2 certified with enterprise-grade security. We offer 256-bit encryption for all data, role-based access control, comprehensive audit logs, API key management, and GDPR compliance. Our platform guarantees 99.9% SLA uptime with automatic failover systems.

What automation features does Fonada offer?

Fonada includes pre-built automation templates for abandoned cart recovery (recover 15-30% of lost sales), payment link follow-up, and invoice reminders. The visual flow builder allows you to create custom conversation flows without coding. Automations can trigger based on user behavior, time delays, or external events via webhooks.

What LLM providers does Fonada support?

Fonada supports multiple LLM providers including OpenAI (GPT-4o, GPT-4, GPT-3.5 Turbo) and Groq (LLaMA 3.3-70B Versatile, Mixtral 8x7B). For voice capabilities, we integrate with ElevenLabs for natural-sounding text-to-speech. You can choose the best model for your use case and budget.

What is the best AI chatbot platform for WhatsApp in India?

The best fit depends on your use case, but teams in India often prioritize platforms with reliable WhatsApp Business API delivery, RCS and voice in the same stack, no-code and AI-native flows, India-friendly pricing, and local compliance. Fonada is built as an India-focused omnichannel AI agent platform: you get WhatsApp plus Voice, RCS, and web in one place, 70+ integrations, a visual flow builder, and enterprise SLAs—ideal for support, sales, and automation at scale.

How do I build a voice AI agent for customer support?

On Fonada you define the agent in the visual builder, connect your knowledge base and tools, enable the Voice channel, and map intents to flows (e.g. order status, refunds, handoff to a human). Configure speech-to-text and text-to-speech, set business hours and routing, then test in the playground and deploy to your telephony or widget. No separate voice stack is required; the same agent can run on chat and voice.

What is the difference between AI agents and RPA?

RPA (robotic process automation) typically automates rule-based, repetitive tasks in fixed UIs and systems using scripts and selectors. AI agents use large language models and tools to understand natural language, reason over context, and take multi-step actions (APIs, CRM, search, handoffs). RPA is great for stable back-office routines; AI agents are better for open-ended conversations, personalization, and channel-native customer engagement.

Can AI chatbots handle multiple languages?

Yes. Modern AI agents on platforms like Fonada can converse in many languages in the same flow—driven by your chosen LLM, prompts, and knowledge base. You can set a default language, detect user language from messages, and route to localized templates (e.g. WhatsApp) or voice. Consistency in tone and brand voice should be set in the system instructions and reviewed per locale.

How much does WhatsApp Business API cost?

WhatsApp Business API pricing has two parts: Meta conversation-based pricing (varies by country, category, and session type) and your BSP or platform fees. On Fonada you typically pay for platform usage, conversations, and optional add-ons. Exact numbers change by region and message category—use Fonada’s pricing page or contact sales for current rate cards, currency (e.g. INR), and any volume or enterprise plans.

What integrations does Fonada support for e-commerce?

Fonada supports 70+ tool integrations, including e-commerce and ops: order and catalog systems, payment links, abandoned cart and payment reminders, CRM and helpdesk, webhooks, and custom APIs. Use cases include cart recovery, order status, COD confirmation, and returns—exposed in the no-code flow builder and agent tools. Connect your stack via native connectors or custom integrations.

How does Fonada compare to Gupshup, Infobip, Twilio, and Bird?

All five provide messaging CPaaS in some form, but focus differs. Comparison (high level): (1) Core positioning — Fonada: omnichannel AI agent platform (WhatsApp, Voice, RCS, web) with no-code + RAG; Gupshup, Infobip, Twilio, Bird: broad CPaaS with conversations API and varying low-code and partner ecosystems. (2) India / RCS: Fonada emphasizes India-first programs including Jio RCS; check each vendor for current RCS and regional coverage. (3) AI depth: Fonada is built around multi-step AI agents, tools, and knowledge; others add AI through products or partners—evaluate your need for a single product vs. self-assembled stack. (4) Abandoned cart and commerce: Fonada offers templates and flows for recovery and e-commerce; compare feature depth and time-to-launch. (5) Table — Primary strength | Fonada: AI agents, omnichannel, India focus | Gupshup: long-standing WhatsApp ecosystem | Infobip: global supernetwork and suite | Twilio: developer-first APIs, broad U.S. adoption | Bird (MessageBird): global messaging and Inbox. Choose based on your channels, country, budget, and whether you need a unified AI product versus raw APIs.

Automotive Use Cases

Automotive

Post-Service Feedback Calls

85% response rate vs 15% surveys

AI calls customers after service for satisfaction rating, collects detailed feedback, and escalates negative experiences immediately for resolution.

85%

Response Rate

vs 15% email

< 24h

Call Timing

After service

90%

Issue Resolution

From escalations

NPS

Tracking

Real-time scores

How It Works

Service Complete

Customer picks up vehicle

AI Call

Feedback call within 24 hours

Rating Collection

1-5 rating on service quality

Detailed Feedback

What went well, what could improve

Escalation

Low scores trigger immediate follow-up

Post-Service Feedback Call

AI Agent • Active

Hello Mr. Kumar! I'm calling from Toyota Service. You picked up your Innova yesterday. We'd love to hear about your service experience. It'll take just 2 minutes.

Sure, go ahead.

On a scale of 1 to 5, where 5 is excellent, how would you rate our overall service?

Thank you! What did we do well?

The work was done on time and the car runs smoothly now.

Glad to hear that! Is there anything we could have done better?

The waiting area could have been cleaner.

Thank you for that feedback. I'll make sure to pass it along to our facilities team. Would you recommend our service center to friends and family?

Yes, I would.

Wonderful! If you have a moment, we'd really appreciate a Google review. I'll send the link to your WhatsApp. Thank you for your feedback, Mr. Kumar!

Key Features

NPS Scoring

1-10 likelihood to recommend

Open Feedback

Capture specific comments

Instant Escalation

Low scores trigger manager alert

Trend Analysis

Track satisfaction over time

Service Recovery

Connect unhappy customers to manager

Google Review

Request review from happy customers

Benefits

85% feedback response rate

Identify issues immediately

Recover unhappy customers

Track NPS trends

Generate Google reviews

Improve service quality

Hold staff accountable

Compare across locations

Frequently Asked Questions

What triggers an escalation?

Configurable: typically rating 1-2, or negative keywords (rude, overcharged, damaged). Service manager gets instant notification for follow-up.

Can we request Google reviews?

Yes! For customers rating 4-5, AI asks: "Would you mind sharing your experience on Google? I'll send the link." Increases review volume significantly.

How is feedback used?

Aggregated by service center, advisor, and issue type. Monthly reports show trends: "Waiting time complaints up 20% at Location X."

What about incentive programs?

AI can mention: "As a thank you for your feedback, here's a 10% discount on your next service." Encourages honest participation.

Related Use Cases

Service Reminders

Schedule service appointments

Learn More

Insurance Renewal

Renew vehicle insurance

Learn More

New Model Announcements

Notify about launches

Learn More

Ready to Get Started?

Deploy this solution in under 5 minutes. No coding required.