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.

E-commerce Use Cases

E-commerce

Proactive Order Status Calls

Reduce complaints by 50% with proactive updates

AI proactively calls customers when orders are delayed, provides new delivery estimates, explains reasons, and offers compensation when appropriate.

50%

Fewer Complaints

Customer service

30%

Higher NPS

Customer satisfaction

< 1h

Update Time

After delay detected

20%

Compensation Savings

vs reactive

How It Works

Delay Detected

Shipping system flags order as delayed

AI Call

Proactive call to customer within 1 hour

Explain & Apologize

AI explains reason and new ETA

Compensation Offer

Offer store credit/discount for inconvenience

Resolution

Customer informed before they complain

Proactive Delay Notification Call

AI Agent • Active

Hi Meera, this is a call from QuickMart about your order #QM-78432. I wanted to give you an update before you have to contact us.

Oh, is there a problem with my order?

I apologize, but your order has been delayed due to unexpected heavy rain in the delivery area. Your original delivery date was today, but we're now expecting delivery by Thursday.

That's disappointing. I needed it for a gift.

I completely understand, and I'm sorry for the inconvenience. As an apology, I'd like to offer you a ₹200 store credit for your next order. Also, I can prioritize your order for first delivery on Thursday morning. Would that help?

Yes, morning delivery would help. And thank you for the credit.

I've marked your order for priority morning delivery on Thursday. You'll receive tracking updates via WhatsApp. The ₹200 credit is already added to your account. Is there anything else I can help with?

No, that's all. I appreciate you calling proactively.

Key Features

Real-Time Tracking

Integration with shipping carriers for live delay detection

Clear Communication

Simple explanation of delay reason (weather, carrier issue)

Smart Compensation

Offer appropriate compensation based on delay severity

Priority Handling

High-value orders and repeat customers first

Human Escalation

Transfer to support for complex issues

Rescheduling

Offer to hold delivery for better time

Benefits

Reduce customer complaints by 50%

Turn negative experience into positive impression

Customers appreciate proactive communication

Lower compensation costs vs reactive handling

Reduce call center volume

Improve NPS and customer loyalty

Better control over narrative

Automatic escalation for severe delays

Frequently Asked Questions

Which delays should trigger a proactive call?

Configurable: typically delays >24 hours. High-value orders (>₹5000) or premium customers might warrant calls for any delay. You can also set thresholds by product category.

What compensation should be offered?

Rule-based: e.g., 1-2 day delay = ₹50 credit, 3-5 day delay = ₹100 credit + expedited shipping. You define the matrix based on delay severity and customer value.

Can the AI handle angry customers?

Yes, it's trained in de-escalation. If the customer is very upset, the AI acknowledges, apologizes, offers resolution, and can transfer to a human supervisor if needed.

How does this integrate with shipping providers?

Via APIs with Delhivery, BlueDart, Shiprocket, and others. We receive real-time tracking updates and detect delays automatically when expected delivery changes.

Related Use Cases

COD Confirmation

Verify COD orders before dispatch

Learn More

Returns Processing

Voice-guided return process

Learn More

Abandoned Cart Recovery

Voice calls for cart recovery

Learn More

Ready to Get Started?

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