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.

B2B Use Cases

B2B & Manufacturing

Quality Feedback Calls

80% response rate for quality input

Post-delivery calls to collect product quality feedback, identify issues early, and maintain quality standards across your supply chain.

80%

Response Rate

Feedback collection

< 48h

Issue Detection

After delivery

90%

Issue Resolution

From early detection

NPS

Tracking

Customer scores

How It Works

Delivery Complete

Product received by customer

AI Call

Quality feedback call within 48 hours

Rating Collection

Quality, packaging, delivery rating

Issue Capture

Document any quality concerns

Resolution

Escalate issues for immediate action

Quality Feedback Call

AI Agent • Active

Hello, this is a quality call from ABC Manufacturing. You received order #4567 two days ago. Do you have a moment to share feedback?

Yes, go ahead.

On a scale of 1 to 5, how would you rate the overall product quality?

4. The products are good quality.

Thank you! How about the packaging — was everything well protected during transit?

Actually, a few units had damaged packaging, though the products inside were fine.

I apologize for that. I'm noting this for our logistics team to improve. Were there any defective or incorrect items in the shipment?

No defects, but 2 units were the wrong size. We need M10 bolts, received M8.

I'm sorry about that error. I'm flagging this for immediate resolution. Our team will send the correct M10 bolts and arrange pickup of the M8 units. You'll receive a call from our customer service within 2 hours. Is there anything else?

No, that's all. Thanks for following up.

Key Features

Quality Rating

1-5 rating on product quality

Detailed Feedback

Capture specific concerns

Issue Escalation

Flag defects immediately

Trend Analysis

Track quality over time

QA Connection

Connect to quality team if needed

Resolution Tracking

Follow up on reported issues

Benefits

80% feedback response rate

Early detection of quality issues

Improve product quality over time

Maintain customer relationships

Track supplier quality

Reduce returns and complaints

Data for continuous improvement

Competitive advantage through quality

Frequently Asked Questions

When should feedback calls happen?

Ideally 24-48 hours after delivery. Early enough to catch issues, late enough for customer to inspect.

What quality metrics are tracked?

Product quality, packaging quality, delivery accuracy, damage rate. Trends tracked by product line, supplier, and customer segment.

How are issues escalated?

Critical issues (defects, wrong items) trigger immediate alert to QA and customer service. Resolution tracked until closed.

Can it help with ISO compliance?

Yes! Call records and feedback data can support ISO 9001 customer satisfaction requirements. Full audit trail available.

Related Use Cases

Dispatch Notifications

Shipment alerts

Learn More

Order Confirmation

Verify orders

Learn More

Reorder Suggestions

Proactive restocking

Learn More

Ready to Get Started?

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