AI in permit-to-work: how PermitoAI routes, checks and flags in real time

AI can speed up permit review by detecting missing controls, identifying likely approvers, comparing similar historical permits, and flagging unusual combinations of work area, job type, and risk rating.

Final approval should remain a human responsibility. The system should record the recommendation, confidence, reviewer decision, and any manual override reason.

The strongest early use cases are routing, completeness checks, SIMOPS conflict detection, anomaly detection, and summary generation for approvers.

Each AI output should be stored as an auditable advisory event linked to the permit lifecycle step that used it.