Case · human-in-the-loop
When should an AI agent pull a person in — and hand off without dropping the thread?
A supervision desk for teams of agents — the handoff is the product.
Today agent hand-offs are abrupt — a case lands in a person's lap with little context, or the bot never knows when to let go.
Why now as AI agents take on real support volume, the human hand-off is what keeps trust intact.
Use cases Customer support, contact centres, sales, healthcare intake.
Interactive demo ↗service console — live agent supervision
Sample service blueprint — where the human steps in
1 · Ask
2 · Handle
3 · Doubt
4 · Resolve
Customer
Sends a request
Waits
Kept informed
Gets an answer
AI agent
Reads intent
Answers routine steps
Confidence dips → briefed handoff
Resumes follow-up
Operator
—
Watches the wall
Receives full context
Decides & replies
System
Logs entry
Tracks state
Records guardrail event
Writes audit trail
The handoff moment (step 3) is the whole design: context is composed for the operator, never dropped — and every decision lands in the audit log.