Supervision
Set review samples, exception ownership, change control, escalation, and evidence for continuing system responsibility.
1 published Field Note
Define how people review AI agents and automation after launch without manually repeating all of the work.
Supervision means checking whether a system stays inside its approved job as real customers and business conditions change. The owner needs visible exceptions, a review sample, a way to correct source information, controlled changes, and a clear person responsible for incidents, quality decisions, and escalation.
A system is launched and then treated as finished, even though offers, staff, calendars, customer questions, integrations, and exception patterns continue to change.
Three signals worth inspecting
- 01No one reviews real interactions
- 02Source changes do not trigger retesting
- 03Exceptions lack a named decision owner
AI Answering & Agents
These articles examine continuing quality, human control, exception review, source maintenance, change approval, and accountability after launch.
Field Notes on Supervision
1 published Field Note
Archive membership and the published count come from the current Field Notes record. When an article title includes a number, review that article's linked source or stated method before using the figure in a decision.
