Turn a vague AI review into a release-ready one

Elena needs to make her AI review defensible without turning it into a long audit. Before: one vague approval note, no checklist, no source trail. After: checklist run, provenance captured, risky claim checked by a second reviewer. The review moved from opinion to method: it names the checklist, so skipped steps are visible. The source trail is attached to claims, not buried in memory. That is the provenance layer. The highest-risk interpretation went to a second reviewer, which makes four-eyes review real rather than symbolic. Removed claims are recorded. That teaches future reviewers where the model overreached. Release-ready review is…

Sign up free — one personalized lesson every day, matched to your role and goals.

Already have an account? Sign in