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Conversational AI

Chat and voice agents that actually resolve.

Omnichannel assistants grounded in your knowledge and systems — they answer accurately, take real actions and hand off to a human the moment it matters.

0%Auto-resolution rate
0xFaster response time
24/7Always-on coverage
0+System integrations
What We Deliver

Assistants your customers can rely on.

Context-aware, brand-aligned conversational AI — grounded in your systems, with guardrails and a clean path to a human.

Omnichannel

One assistant across web, WhatsApp, voice and Slack / Teams — with a consistent memory of the conversation.

NLU & dialog

Intent detection, context tracking and dialog management that keep multi-turn conversations on course.

RAG grounding

Answers retrieved from your knowledge base — accurate, current and traceable, not improvised.

Tool actions

Order status, bookings, returns and CRM updates — the assistant completes tasks, not just answers about them.

Multilingual

Serve customers in multiple languages out of the box, across both chat and voice.

Human handoff

Seamless escalation to live agents with full conversation context — no repeating, no dead ends.

Reference Architecture

How a grounded assistant works.

Channels to intelligence to integration — grounded via RAG, connected to enterprise systems, with guardrails and live-agent escalation throughout.

Stage 01 — Meet customers where they are

Listen

Conversations arrive from every channel — web chat, WhatsApp, phone and workplace tools — into one assistant.

  • Web, WhatsApp, Slack / Teams
  • Voice with speech recognition (ASR)
  • Unified conversation history
Stage 02 — Work out what's needed

Understand

NLU and dialog management identify the intent, track context across turns and detect the customer's language.

  • Intent & entity detection
  • Multi-turn dialog state
  • Multilingual understanding
Stage 03 — Answer and do

Ground & act

The assistant retrieves accurate answers from your knowledge base and takes real actions in your systems via tool calls.

  • RAG over your knowledge base
  • Tool calls: orders, bookings, CRM
  • Guardrails on every response
Stage 04 — Close the loop safely

Resolve or hand off

Routine cases close autonomously; anything sensitive or uncertain escalates to a live agent with full context attached.

  • Confidence-based escalation rules
  • Live-agent handoff with context
  • Conversation analytics & CSAT

Channels to intelligence to integration — with guardrails and live-agent escalation built in.

Engagement

What you get, and when.

A fixed-scope path from your top conversation flows to a live, measured assistant.

Week 1–2

Conversation audit

We analyze your top intents, knowledge sources and escalation paths, and set a target resolution rate.

Week 3–4

Working pilot

A grounded assistant handles real conversations on one channel, measured against the resolution target.

Month 2

Production

Rolled out across channels with handoff, analytics and guardrails — operated by your team.

Case Studies

Conversational AI in production.

Featured Engagement
E-commerce retailer
Peak-sale ticket floods
Agents with real order actions
65% resolved without a human

Full case study below — including how triage, retrieval and action agents share the queue with human staff.

Multi-Agent · E-commerce

Agentic Customer Support Automation

Retail / E-commerce · India
65%Auto-resolved
3xFaster response
4.6/5CSAT
Challenge

High ticket volume and slow resolution were hurting customer satisfaction during peak sale events.

Approach

Deployed an orchestrated multi-agent system — triage, retrieval, tool-calling actions for order status and returns, and human escalation — with guardrails and analytics.

Impact

Routine queries resolve autonomously, including real order actions, freeing agents for the complex cases.

Voice + Chat · Healthcare

Omnichannel Scheduling Assistant

Healthcare · India
40%Fewer no-shows
50%Call deflection
3Languages
Challenge

High no-show rates and an overloaded call center were driving up cost and lost revenue.

Approach

A voice and chat agent with calendar tool-calling, automated reminders and multilingual support across phone, web and WhatsApp.

Impact

Patients self-serve bookings and reschedules; staff handle only the exceptions.

Technology Stack

Built on proven conversational infrastructure.

Orchestration
  • LangGraph
  • Rasa
Models & Voice
  • OpenAI / Claude
  • Whisper (ASR)
Channels
  • Twilio / WhatsApp
  • Slack / Teams / Web
Grounding & Safety
  • RAG + Pinecone
  • Guardrails

Ready for an assistant that resolves?

Tell us about your support or sales queue — we'll return a grounded assistant design and resolution plan in days.

Start a conversation