Human review needs an acceptance standard.

Clarify what approval means

An approval button can conceal several different responsibilities: checking a source, judging a recommendation, or authorizing a change. A production workflow needs to distinguish those decisions and present the evidence relevant to each one. The reviewer also needs enough authority and context to act.

A practical first step is a review rubric for one representative AI result. It states acceptance conditions, common reasons for rejection, and the information required for escalation. Corrections should retain the explanation and return the task to a defined point in the workflow.

Evaluate the whole review path

A Production AI Lighthouse can measure accepted outcomes, correction rates, review time, and unresolved decisions on a representative task set. These measures help the sponsor understand whether the workflow creates useful capacity or shifts effort into a new review queue.