Why it matters
AI operations runs knowledge systems in production: monitoring, testing, releases, incidents, and health reviews. Projects end; ops never does if customers depend on answers.
How it works
Define on-call rotations, SLAs, runbooks, weekly health meetings, and metrics dashboards. Integrate with existing incident management.
Example
Nintendo AI ops owns weekly health review: stale collections, failed tests, monitoring backlog, and upcoming policy releases affecting the chatbot.
Common mistakes
- 1No named ops owner after launch
- 2Ops treated as optional cost center
- 3Incidents closed without test additions
Test the answer before your customer does.
Run answer tests and evaluations against your governed knowledge before you ship.
See answer evaluations