Conversational AI That Handles Real Conversations, Not Just Scripts

Intelligent chatbots, voice agents, and messaging automation that understand context, handle complexity, and escalate gracefully. Built for WhatsApp, web, voice, and enterprise messaging platforms.

Why Our Conversational AI Works in the Real World

The gap between a demo chatbot and a production conversational system is enormous. We have built systems that handle real transactions - orders, queries, multilingual conversations.

Scripted Chatbot

Decision Tree Logic

Predefined conversation paths. User must follow the script. Any deviation leads to "I don't understand" or a dead end.

Keyword Matching

Intent detection based on keywords. Miss the keyword, miss the intent. No understanding of context, nuance, or conversation history.

Single-Language, Single-Channel

Built for one language on one platform. Adding a language or channel means rebuilding the conversation logic from scratch.

No Graceful Degradation

When the bot cannot handle a request, it loops or fails silently. Users abandon the conversation. No escalation to a human with context.

No Learning or Improvement

Conversations are not instrumented. No visibility into where users drop off, what they actually need, or how to improve.

Engineers Validated

Production Conversational AI

Context-Aware Understanding

AI understands intent from natural language, not keywords. Handles follow-up questions, contradictions, and mid-conversation topic changes.

Voice & Text, Multi-Channel

Same conversational intelligence across WhatsApp, web, voice, and app channels. Deploy once, serve everywhere.

Transaction-Capable Conversations

Not just Q&A conversations that process orders, query databases, schedule appointments, and complete real business transactions.

Graceful Escalation with Context

When confidence drops, the system escalates to a human with full conversation history preserved. No repetition. No lost context.

Instrumented for Improvement

Every conversation is analyzed - where customers succeed, where they drop off, where AI needs improvement. Systems that get better over time.

What We Build

WhatsApp Business Automation

AI agents on WhatsApp handling inquiries, orders, notifications, and appointments. Text, voice messages, and media. Multilingual.

Web Chat & Support Bots

Intelligent chat interfaces accessing your knowledge base, CRM, and product catalog to resolve inquiries without human intervention.

Voice AI Agents

Phone and voice-based AI for customer service, scheduling, and information retrieval. Multiple languages and accents supported.

Multilingual Conversational Systems

AI that operates across languages without separate bot instances. Real-time translation and language-switching within conversations.

Enterprise Messaging Integration

Conversational AI on Slack, Teams, or custom platforms for IT helpdesk, HR inquiries, and knowledge base access.

Conversation Analytics & Optimization

Post-deployment analytics on patterns, resolution rates, satisfaction, and drop-offs. Continuous quality improvement.

Technology We Work With

Conversational Platforms

NLU/LLM

Voice

Agent Frameworks

Integration

Analytics

Our Work

Consumer / Wellness🇫🇷 France

Shipped an AI chat platform with text and voice for a consumer wellness brand

FlutterFlow mobile app for iOS and Android with an AI chatbot at its centre

Text and voice conversation with native speech-to-text and audio playback

Profiling across five life domains feeding the AI context

Collaborative solution architecture with the backend team

Text + Voice

AI conversation

5 domains

Profiling coverage

iOS + Android

Live mobile app

View Case Study

Logistics / B2B🇮🇳 India

Built two WhatsApp AI agents and optimised cloud costs for a B2B logistics operator

A WhatsApp voice agent that answers routine customer enquiries automatically

A WhatsApp B2B ordering agent capturing orders via text and voice with live inventory checks

AWS cloud infrastructure optimised for cost-performance

Both agents integrated into the existing logistics platform and workflows

2 agents

WhatsApp voice + B2B ordering live

AWS

Cloud optimised for cost-performance

Lower

Cost-to-serve on routine enquiries

View Case Study

E-Commerce SaaS🇮🇳 India

Democratized data access with a natural language analytics bot cutting reporting time by 50%

Users query marketplace data in plain English without writing SQL or using complex filters

Returns results as interactive tables, summaries, or auto-generated visualizations

Handles cross-table queries for complex business questions spanning multiple data sources

Includes query history and saved reports for recurring business questions

50%

Faster Reporting

Democratized Data Access

Natural Language Query

View Case Study

Consumer

Built a conversational AI coach achieving 4.2/5 user satisfaction with 65% return rate

Provides personalized relationship guidance through empathetic, context-aware dialogue

Maintains session continuity and conversation history for ongoing coaching relationships

Applies emotional intelligence to recognize sentiment shifts and adjust response tone

Offers structured exercises and reflection prompts based on conversation themes

4.2/5

User Satisfaction

Average Session Length

65%

Return Rate

View Case Study

Want to automate customer conversations without losing the human touch?

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Frequently Asked Questions

What is the difference between a rule-based chatbot and conversational AI?

Rule-based chatbots follow predefined decision trees and only handle scenarios explicitly programmed. Conversational AI uses large language models to understand natural language, infer intent, and generate contextually appropriate responses. It handles unexpected questions, multi-turn conversations, and nuanced requests that rule-based bots cannot.

Can conversational AI handle multiple languages?

Yes. Our systems support multilingual conversations within a single deployment. Users can switch languages mid-conversation and the system responds in the appropriate language. This is particularly valuable for businesses serving customers across multiple regions and language groups.

How do you handle situations where the AI cannot resolve an inquiry?

Every system includes configurable escalation paths. When the AI detects uncertainty, high-stakes decisions, or customer frustration, it transfers the conversation to a human agent with full context preserved. The handoff is transparent and the human agent sees the entire conversation history.

Can you build a WhatsApp chatbot for our business?

Yes. We build on the official WhatsApp Business API - bots that handle text and voice messages, process media, manage appointments, and trigger transactions. We have built WhatsApp agents that handle voice-based ordering, customer support, and multilingual communication.

What channels can conversational AI be deployed on?

Web chat, WhatsApp, SMS, voice (phone), Slack, Microsoft Teams, Facebook Messenger, and custom mobile applications. We build channel-agnostic conversational logic deployable across multiple channels from a single system, with platform-specific adaptations.

How do you measure the success of a conversational AI deployment?

Resolution rate (conversations resolved without human intervention), customer satisfaction scores, average handling time, drop-off rate, and cost per interaction compared to human-only service. We set baseline metrics before launch and track improvement continuously.