Notes on owners, approvals, audit trails, exception handling, and review cadence around AI-supported work.
Why this note exists.
Operational controls are how an AI workflow survives contact with real work. They define what happens when the agent is unsure, wrong, blocked, or asked to cross a boundary.
Observations
- Every recurring workflow needs an owner and escalation path.
- Audit trail matters when output affects customers or delivery.
- Review cadence keeps agent behavior from drifting silently.
What we learned
- Design controls before scaling usage.
- Make exception handling explicit.
- Keep improvement backlog connected to incidents and review notes.
Useful artifact
- Workflow map or decision note.
- Test case, approval log, or delivery handoff.
- Reusable pattern for a future service path.