Ship and operate an AI tool
Operate, measure, and change
Track versions, failures, review effort, cost, corrections, and exit readiness.
Operate the workflow as a changing system. Record versions and decisions, watch failure and correction signals, re-run representative tests after changes, and keep a tested exit path.
Learning outcomes
What you should be able to show.
- 01Define operating signals and owners
- 02Create a change-and-evaluation record
- 03Rehearse rollback, export, and manual fallback
Studio practice
Make the lesson visible.
- 01
Choose decision signals
Track volume, completion, failure categories, review minutes, correction rate, escalation, cost units, and user-reported harm.
- 02
Control changes
Record model, prompt, source, integration, permission, dependency, and policy changes with a reason, owner, test, and rollback point.
- 03
Rehearse the exit
Export required records, disable the workflow, complete one case manually, and estimate rebuild work without the current vendor.
Evidence to keep
Your lesson record.
- Operating scorecard
- Change record
- Exit rehearsal
REFLECTWhich signal grants someone the authority to pause the workflow?