The Lab

LAB 001

Experiment

AI Customer Agent

Exploring autonomous AI agents for customer communication.

AI Customer Agent experiment visual
Experiment
LAB 001
Status
Experiment
Tags
AI · Automation · SaaS
Studio
Man & Tech Lab

01

The question

How much of a customer conversation can an agent own before a human needs to take over?

02

Concept

An agent with a bounded knowledge base, an explicit confidence threshold and a visible handoff moment, so trust is engineered rather than assumed.

03

Technologies

  • LLM APIs
  • Vector search
  • TypeScript
  • Node

04

What we're learning

  • Grounding answers in a narrow knowledge base beats a larger, vaguer one
  • Escalation quality matters more than raw answer quality
  • Users forgive a handoff; they do not forgive a confident wrong answer

05

Future direction

Move from single-turn answers to multi-step actions such as refunds and scheduling, with an audit trail for every action taken.

06

Screenshots

AI Customer Agent prototype screenshot

Curious about this experiment?

Tell us what you're trying to build and we'll tell you how we'd approach it.

info@manandtech.com
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