Applied AI

Conversational AI & chatbots

Assistants on web, WhatsApp and app that answer from your real content, take action, and hand over cleanly instead of looping.

What makes a modern AI chatbot different?

Modern conversational AI understands intent from natural language rather than matching keywords to a scripted tree, answers from your actual documents with citations, and can take action in connected systems. It also knows when to stop and pass the conversation to a person, which scripted bots historically did badly.

Most chatbot failures are design failures

The reason people distrust chatbots is a decade of bots built to deflect rather than resolve — endless loops, no exit, obviously scripted replies. That reputation is a real headwind, and it is earned. Overcoming it means being visibly useful in the first exchange and offering a human exit at all times.

For Indian businesses WhatsApp is usually the highest-value channel by a wide margin, because it is where customers already are. We design for it first rather than treating it as a port of the website widget.

Process

How we deliver it

1Choose the channelWeb, WhatsApp, app or allthree, prioritised by wherecustomers are.2Ground the contentConnect your documents,catalogue and policies withcitation.3Define actionsWhat the bot can do, notjust what it can say.4Design the exitHuman handover alwaysvisible and always fast.5Measure resolutionTrack resolution rather thancontainment or deflection.
Process flow for Conversational AI & chatbots
  1. 01

    Choose the channel

    Web, WhatsApp, app or all three, prioritised by where customers are.

  2. 02

    Ground the content

    Connect your documents, catalogue and policies with citation.

  3. 03

    Define actions

    What the bot can do, not just what it can say.

  4. 04

    Design the exit

    Human handover always visible and always fast.

  5. 05

    Measure resolution

    Track resolution rather than containment or deflection.

Deliverables

What you receive

  • A live assistant on your chosen channels
  • Grounded knowledge with citations and refusal behaviour
  • Action integrations — bookings, lookups, ticket creation
  • Human handover with full conversation context
  • Analytics on resolution rate and drop-off points

Engagement shape

Four to eight weeks per channel. WhatsApp requires business verification, which we manage but which adds lead time.

Tooling

What we typically build with

  • WhatsApp Business API
  • Anthropic API
  • Vector databases
  • Node.js
  • React
  • Zendesk and Freshdesk
  • Webhooks

Stack decisions follow the problem. This is where we usually start, not a fixed menu.

Frequently asked

Questions we get about this

Should we use WhatsApp or a website widget?

For most Indian consumer businesses, WhatsApp — customers are already there, messages get read, and the conversation persists. A website widget suits considered B2B purchases where the visitor is researching. Many clients run both, with WhatsApp carrying the volume.

How do we avoid annoying people?

No aggressive pop-ups, a visible human handover from the first message, and honest disclosure that it is an AI. Measure resolution rate rather than containment rate — optimising for containment is what produced the bots everyone hates.

Talk it through before you commit

A discovery call is a working session on your constraint, not a sales pitch.

Quick inquiry

Tell us what you're trying to build

A short note is enough. You'll hear back from the team, not a bot — usually within one working day.

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