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.

Healthcare Use Cases

Healthcare

Post-Discharge Follow-up Calls

Reduce readmissions by 30% with automated check-ins

AI voice agent that calls patients after hospital discharge to check symptoms, medication adherence, and overall recovery. Escalates to care team when concerns are detected.

30%

Fewer Readmissions

With proactive follow-ups

95%

Contact Rate

Voice + WhatsApp combo

72h

First Call

Within discharge

100%

Documentation

Auto-logged to EHR

How It Works

Discharge Trigger

Patient discharged from hospital triggers follow-up workflow

AI Call (72h)

AI calls within 72 hours to check on recovery

Symptom Assessment

Structured questions about symptoms, medication, pain levels

Risk Scoring

AI scores responses to identify at-risk patients

Escalation

High-risk patients immediately transferred to nurse/doctor

Post-Discharge Follow-up Call

AI Agent • Active

Hello Mr. Kumar, this is Sarah from City Hospital. I'm calling to check on you after your discharge two days ago. How are you feeling today?

I'm doing okay, but I've had some pain near the surgery site.

I understand. On a scale of 1 to 10, how would you rate the pain?

About a 6 or 7.

Thank you. Have you been taking your prescribed pain medication as directed?

Yes, every 6 hours as the doctor said.

Good. Is there any redness, swelling, or discharge around the surgical site?

Actually, yes, there's some redness and it feels warm.

I appreciate you sharing that. Given the pain level and signs around the surgical site, I'd like to connect you with our nursing team right away. Please hold while I transfer you. They'll be able to assess this properly and advise next steps.

Okay, thank you for checking on me.

Key Features

Risk Detection

AI identifies warning signs and escalates immediately to care team

Structured Assessment

Clinically validated questions for post-discharge symptom monitoring

Multi-Touch Schedule

Calls at 24h, 72h, 7 days, 14 days post-discharge (configurable)

Condition-Specific

Tailored scripts for cardiac, surgical, chronic condition patients

Caregiver Inclusion

Option to include family members in follow-up calls

EHR Integration

Auto-documents calls in Epic, Cerner, Athenahealth

Benefits

Reduce 30-day readmission rates by 30%

Early detection of post-surgical complications

Improve patient satisfaction with proactive care

Free up nursing staff from routine check-in calls

Document all interactions automatically in EHR

Meet CMS quality reporting requirements

Scale follow-up capacity without adding staff

Support value-based care initiatives

Frequently Asked Questions

What questions does the AI ask?

Questions are condition-specific and clinically validated. Common areas include: pain levels, medication adherence, mobility, wound status, appetite, fever, and general well-being. You can customize the script for your protocols.

How does escalation work?

When AI detects warning signs (high pain, fever, wound concerns, etc.), it immediately warm-transfers to your on-call nurse with full context. You set the escalation thresholds.

Does this integrate with our EHR?

Yes! We integrate with Epic, Cerner, Athenahealth, and others. Call notes, patient responses, and risk scores are auto-documented in the patient record.

Can it handle multiple languages?

Yes. The AI supports 40+ languages including Hindi, Spanish, Mandarin, and Arabic. Patients can be called in their preferred language.

Related Use Cases

Appointment Scheduling

Automated appointment reminders and scheduling

Learn More

Medication Reminders

Voice reminders for medication adherence

Learn More

Mental Health Check-ins

Regular wellness calls with mood assessment

Learn More

Ready to Get Started?

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