Dependable AI systems are designed with people in the loop. Oversight is not a brake on progress; it is what lets teams trust automation enough to use it.

Approvals

Add review steps where actions are irreversible, sensitive, or customer-facing.

Escalation paths

Define what happens when the system is uncertain, and who picks up the case.

Evaluation

Review real outputs regularly, track failure cases, and improve the system based on what you learn.