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.

⚖️ Technology Comparison

AI Agents vs RPA

Conversational AI vs Robotic Process Automation: Which should Indian enterprises choose for automation in 2026?

5 minsvs6-12 weeks

Deployment Time

₹96K/yearvs₹30L+/year

Typical Cost

MinimalvsHigh

Maintenance

70%+vs0%

Query Resolution

AI Agents

Conversational AI

RPA

Robotic Process Automation

Feature-by-Feature Comparison

Primary Function

AI Agents handle interactions, RPA handles repetitive tasks

Conversations & Decisions

Tie

Task Automation

Input Type

AI Agents understand human language in any form

Natural Language (Voice/Text)

AI Wins

Structured Data Only

Learning Capability

AI Agents improve over time, RPA stays static

Continuous (ML/LLM)

AI Wins

Rule-based (No Learning)

Setup Time

No-code AI agents deploy instantly

5 minutes

AI Wins

Weeks to Months

Handles Variations

AI adapts to different phrasings and formats

AI Wins

Customer Interaction

Only AI Agents can converse naturally

AI Wins

Legacy System UI

RPA can automate systems without APIs

Needs API/Database

RPA Wins

Works with any UI

Multi-Channel

AI Agents work across communication channels

WhatsApp, Voice, RCS, Web

AI Wins

Desktop only

24/7 Availability

Both can operate around the clock

Tie

Cost (First Year)

AI Agents are significantly more affordable

₹1-2 Lakh

AI Wins

₹30-90 Lakh

Maintenance Required

RPA needs constant updates when systems change

Minimal (Self-improving)

AI Wins

High (Breaks on UI changes)

Best For

Each excels in different areas

Customer-facing automation

Tie

Back-office tasks

Best Use Cases

AI Agent Use Cases

Customer Support

Handle queries on WhatsApp, Voice, Web 24/7

Lead Qualification

Engage and qualify leads through conversation

Appointment Booking

Schedule meetings via natural dialogue

Payment Collections

Remind and collect payments conversationally

Product Recommendations

Suggest products based on conversation

Order Management

Track, modify, cancel orders via chat

RPA Use Cases

Data Entry

Copy data between systems automatically

Report Generation

Pull data and create reports on schedule

Invoice Processing

Extract and enter invoice data

Compliance Checks

Run automated compliance validations

Data Migration

Move data between legacy systems

Payroll Processing

Automate salary calculations and entries

🎯 Our Verdict for Indian Enterprises

Start with AI Agents for immediate customer impact (live in 5 minutes, 90% cheaper). Add RPA later only if you need to automate legacy systems without APIs.

Frequently Asked Questions

Can AI Agents replace RPA completely?

Not completely. AI Agents excel at customer-facing, conversational tasks while RPA is better for back-office, UI-based automation of legacy systems. The best approach is often using both together – AI Agents for the front-end conversation and RPA to update legacy systems.

Which is better for Indian enterprises?

For most Indian enterprises starting their automation journey, AI Agents provide faster ROI (live in 5 minutes vs months) and lower cost (90% cheaper). Start with AI Agents for customer impact, then add RPA for legacy system integration if needed.

Do I need technical skills for AI Agents?

No. Modern AI Agent platforms like Fonada offer no-code builders. You can deploy a fully functional AI agent in 5 minutes without any coding. RPA typically requires developer skills or expensive consultants.

What about accuracy? RPA is rule-based, AI can make mistakes.

Modern AI Agents with proper guardrails achieve 95%+ accuracy. They also handle edge cases that would break RPA. With RAG knowledge bases and human handoff, AI Agents can be more reliable than rigid RPA bots.

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