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.

Education Use Cases

Education & EdTech

AI Placement Assistance

2x placement rate with AI job matching

AI calls alumni and current students with relevant job opportunities, assesses fit, schedules interviews, and provides prep materials. End-to-end placement support.

Placement Rate

Success rate

50%

Response Rate

Job opportunity calls

< 24h

Interview Schedule

From match to book

90%

Show-Up Rate

For scheduled interviews

How It Works

Job Opportunity

Company shares placement requirement

Student Matching

AI matches based on skills, preferences

Opportunity Call

AI calls matched students with job details

Interest Confirmation

Assess interest and availability

Interview Scheduling

Book interview slots for interested students

Placement Opportunity Call

AI Agent • Active

Hi Amit! This is a call from the Placement Cell at IIT Delhi. We have an exciting job opportunity that matches your profile. Do you have 2 minutes?

Yes, go ahead.

Infosys is hiring for Associate Software Engineer roles. It's a Bangalore-based position with a CTC of ₹6 LPA. Given your Computer Science background and internship experience, you'd be a great fit. Are you interested?

Yes, I'm interested. What's the next step?

Great! The first round is a coding test on Saturday. I can schedule you for either the 10 AM or 2 PM slot. Which works better?

2 PM works for me.

Perfect! I've scheduled you for the 2 PM slot on Saturday. I'll send you a WhatsApp message with the test link, company details, and preparation resources. Any questions about the role?

What technologies should I focus on?

Focus on Java, SQL, and data structures. I'll include practice problems in the prep materials. Good luck, Amit! We'll follow up after the test.

Key Features

Smart Matching

Match jobs to students based on skills, preferences, location

Opportunity Calls

AI calls with job details: role, company, salary, location

Interview Scheduling

Book interview slots for interested candidates

Prep Materials

Send company info and interview tips via WhatsApp

Follow-Up

Post-interview feedback collection

Alumni Network

Reach out to alumni for career opportunities

Benefits

Double placement success rate

Reach all eligible students instantly

Match jobs to student preferences

Streamline interview scheduling

Provide interview prep materials

Track placement pipeline end-to-end

Maintain alumni engagement

Scale to handle multiple companies simultaneously

Frequently Asked Questions

How does job-student matching work?

Based on: degree/specialization, skills (from profile/resume), preferred location, salary expectations, career interests. Students with best match score are contacted first.

Can alumni be contacted for opportunities?

Absolutely! AI can reach out to alumni database with opportunities: "We have a senior role at Amazon that matches your 5 years of experience..."

What happens after the interview?

AI follows up with candidate to collect feedback, update status (selected/rejected/next round), and continues to offer other opportunities if not selected.

Can companies directly access the AI?

Companies share requirements with placement cell. Placement cell configures the campaign. AI handles student outreach and scheduling.

Related Use Cases

Lead Nurturing

Course inquiry follow-ups

Learn More

Fee Payment Reminders

Automated fee collection calls

Learn More

Exam Notifications

Result announcements to parents

Learn More

Ready to Get Started?

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