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.

HR Use Cases

HR & Recruitment

AI Screening Calls

Screen 5x more candidates, save 80% time

AI conducts first-round screening calls asking about experience, skills, salary expectations, notice period, and availability. Scores candidates and passes qualified ones to recruiters.

80%

Time Saved

Recruiter screening

More Screens

Daily capacity

< 10 min

Per Screen

Quick qualification

90%

Accuracy

vs human screening

How It Works

Resume Received

Application comes in via job portal or career page

AI Call

AI calls candidate within hours of application

Screening Questions

Ask about experience, skills, salary, availability

Scoring

AI scores based on responses and job requirements

Qualified Handoff

Passed candidates moved to recruiter review

Candidate Screening Call

AI Agent • Active

Hi Rahul, this is Maya from TechVentures. Thank you for applying for the Senior Developer position. Do you have 10 minutes for a quick screening call?

Yes, I have time.

Great! First, could you briefly describe your current role and how long you've been in it?

I'm a Software Developer at ABC Corp for the past 3 years, working mainly on Java backend systems.

Perfect. Our role requires Java and Spring Boot experience. On a scale of 1-5, how would you rate your Spring Boot expertise?

I'd say 4. I've built several microservices using Spring Boot.

Excellent. What's your expected salary range for this role?

I'm looking for something in the range of 18-20 LPA.

That's within our budget. And what's your notice period if you were to receive an offer?

60 days, but I might be able to negotiate.

Noted. Last question: what interests you most about this opportunity?

I'm excited about working on scalable systems and the growth opportunity at TechVentures.

Wonderful! Based on our conversation, you seem like a strong fit. Our recruiting team will review your profile and reach out within 2-3 days to discuss next steps. Do you have any questions for me?

Key Features

Custom Questions

Configure screening questions per role and department

Automatic Scoring

Score candidates on experience, skills, salary fit

Transcript & Summary

Full transcript and AI summary for recruiter review

Knockout Questions

Disqualify early on must-have criteria

Skill Assessment

Basic technical or situational questions

Speed to Lead

Screen within hours of application

Benefits

Screen 5x more candidates daily

Reduce time-to-hire by screening faster

Consistent screening criteria for all candidates

Early knockout of unqualified applicants

Full conversation transcript for recruiters

Speed to lead: call within hours of application

Scalable for high-volume hiring

Improve candidate experience with quick response

Frequently Asked Questions

What questions can the AI ask?

Fully customizable: experience, current role, specific skills, salary expectations, notice period, willingness to relocate, work authorization, shift preferences. You configure which are mandatory.

How does scoring work?

Rule-based scoring on each criterion: e.g., 5+ years experience = 10 pts, 3-5 years = 7 pts, <3 years = 4 pts. Salary within range = 10 pts, etc. Total score determines pass/fail threshold.

Can the AI assess technical skills?

Basic technical questions, yes: "Describe the difference between REST and GraphQL" or "Walk me through how you'd design a caching system." For deep technical, recommend adding technical screening round.

What happens to failed candidates?

Configurable: auto-reject with polite email, hold for future positions, or pass to recruiter for review anyway. You control the disposition.

Related Use Cases

Interview Scheduling

Schedule interviews automatically

Learn More

Offer Follow-up

Follow up on pending offers

Learn More

Employee Pulse

Employee satisfaction surveys

Learn More

Ready to Get Started?

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