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AI Chat Agents

Grounded chat agents that answer from your own content, qualify visitors, and hand off cleanly to your team.

The business problem

  • Website visitors leave before anyone replies
  • Support answers the same questions hundreds of times
  • Chat widgets that cannot answer anything specific
  • No connection between chat conversations and the CRM

The system we build

A chat agent grounded in your documentation, pricing logic, and service catalogue, with qualification built into the conversation and structured handoff to humans.

Visitor opens chatIntent classifiedGrounded answerQualificationHandoff or booking

How the system works

Implementation, step by step.

01

Knowledge ingestion

Your documents, site content, and internal FAQs become the agent's grounded source.

02

Conversation policy

What it may answer, what it must escalate, and what it must never claim.

03

Qualification

The agent collects the fields your sales team actually needs.

04

Handoff

Conversations move to a human with full context attached.

Interactive demo

See it running.

A working demonstration of the interface pattern this system uses.

AB7TECHDEVS AI Systems

AI Active · WhatsApp-style demo

Demo interface
Hi, I want to know more about your services.19:09
Absolutely. I can help you find the right solution. Are you looking to automate sales, customer support, marketing, or internal operations?19:09
ChannelWhatsApp Business API
Response time1.2s
Lead qualificationON
Human takeoverAvailable
CRM syncEnabled

Key capabilities

  • Grounded answers with source control
  • Multi-channel deployment (web, app, messaging)
  • Lead capture and qualification
  • Human handoff with transcript context
  • Conversation analytics and gap detection

Integrations

Website / web appSlackHubSpotIntercom-style inboxesCustom APIs

Use cases

  • Pre-sales questions
  • Support deflection
  • Onboarding guidance
  • Product discovery

Business outcomes

What changes operationally.

Deflection

Repetitive questions stop reaching your team.

Capture

Anonymous traffic becomes identified, qualified pipeline.

Case study

We publish case studies only with client approval and verified outcomes. No client names, metrics, or results are shown here until they are confirmed and released. See our case study approach →

FAQ

Common questions.

Will it invent answers?

The agent is constrained to your supplied knowledge and is configured to escalate rather than speculate.

Can it run on more than one channel?

Yes — the same policy and knowledge layer can drive web, WhatsApp, and social DMs.

Related systems

Next step

Your next competitive advantage could be automated.

Tell us where your business is losing time, opportunities, or operational efficiency. We'll help identify the system worth building.