Make every AI change earn its release
A prompt edit can change the way a task gets handled. Run the same useful tests before release, then keep real mistakes in the next test set.
Keep a record of the cases and results the team accepted. When a change is proposed, compare the same work and inspect any new failure before deciding to release it.
Pre-release
Run representative tasks, difficult cases and forbidden-action checks against the exact source you plan to release.
Post-release
Review answer quality, corrections, handoffs, response time and cost on a regular schedule.
Feedback loop
Turn real mistakes and reviewer corrections into cases the next version has to pass.