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.

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.

chatbot no-code AI tutorial guides

How to Build an AI Chatbot in 5 Minutes (No Code Required)

FonadaLabs TeamJanuary 15, 2026 6 min read

How to Build an AI Chatbot in 5 Minutes

Think building an AI chatbot requires months of development? Not anymore. With modern no-code platforms, you can have a fully functional AI chatbot live in under 5 minutes.

What You'll Build

By the end of this guide, you'll have:
- An AI chatbot powered by GPT-4 or LLaMA
- Knowledge base trained on your content
- Deployed on WhatsApp, Voice, or Web
- Ready to handle customer conversations 24/7

Prerequisites

- A Fonada account (free tier available)
- 5 minutes of your time
- That's it!

Step 1: Choose Your Channel (15 seconds)

First, decide where you want your chatbot to live:

- WhatsApp: Best for customer support and marketing
- Voice/Phone: Best for call centers and booking
- Web Widget: Best for website visitors
- RCS: Best for rich marketing messages
- Multi-channel: Deploy everywhere at once

Click your preferred channel to continue.

Step 2: Configure Your AI (2 minutes)

Basic Settings

- Name your agent: Give it a memorable name
- Set the personality: Professional, friendly, casual?
- Choose LLM: GPT-4 for quality, Groq for speed

System Prompt

Write or use a template for how your AI should behave:


You are a helpful customer service agent for [Company Name].
Be friendly, professional, and helpful.
If you don't know something, offer to connect them with a human.

Step 3: Add Knowledge (1 minute)

Your AI needs to know about your business. Add knowledge by:

1. Upload Documents: PDF, Word, Excel files
2. Paste Text: FAQs, product info, policies
3. Website URL: Auto-crawl your site
4. Connect Data: Real-time from your systems

The AI will use this knowledge to answer questions accurately.

Step 4: Test & Deploy (1.5 minutes)

Quick Test

Use the built-in simulator to test conversations:
- Ask typical customer questions
- Verify responses are accurate
- Check the tone matches your brand

Deploy

Click "Deploy" and your chatbot is live!

For WhatsApp: Scan QR code or use phone number
For Web: Copy embed code to your site
For Voice: Call your new AI phone number

What's Next?

Your chatbot is live, but there's more you can do:

Add Tools

Connect your chatbot to perform actions:
- Book appointments (Calendar integration)
- Send emails (Gmail, SendGrid)
- Create tickets (Zendesk, Freshdesk)
- Process payments (Stripe, Razorpay)

Set Up Automations

Create automated workflows:
- Abandoned cart recovery
- Appointment reminders
- Payment follow-ups

Track Analytics

Monitor your chatbot's performance:
- Conversation volume
- Resolution rate
- Customer satisfaction
- Lead scoring

Common Questions

Q: Do I need to know how to code?
A: No! The entire process is drag-and-drop.

Q: Can I change things after deploying?
A: Yes! Changes are instant, no redeployment needed.

Q: What if the AI doesn't know an answer?
A: You can set up automatic handoff to human agents.

Conclusion

Building an AI chatbot is no longer a complex, expensive project. With the right tools, you can go from zero to deployed in 5 minutes.

Ready to build yours? Start free trial – no credit card required.

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