Name the failure owner before you approve an AI workflow
A decision-ready evaluation states what counts as failure, who reviews it, what evidence settles it, and what happens next.
6 minApproval should follow a named failure path, not a single quality score.
Define the failure condition
Write the operational case where the system must stop, ask for review, or route work back to a person. Keep the condition tied to a decision the team can observe.
- Name the decision the system is allowed to support
- List unsafe, incomplete, and out-of-scope outcomes
- State the evidence required to classify each outcome
Assign the review path
A reviewer needs a clear queue, the source context behind the output, and an escalation route. Ownership is part of the control, not a note added after evaluation.
- Name the accountable reviewer and backup
- Show sources, model output, and policy state together
- Record approve, reject, escalate, and defer outcomes
Record the release decision
The acceptance record should make the remaining limits visible to operators and future maintainers. A release can be bounded without pretending every case is solved.
- Link evaluated cases to the acceptance decision
- List unresolved limitations and their owner
- Define the rollback or pause action for a failed case