A human-in-the-loop promise means little until the workflow makes that person effective. Show the context, uncertainty and source material they need to judge an output.
Design an escalation path and an easy way to reject, revise or defer a recommendation. Test failures deliberately. Record who owns the decision.
Evaluation continues after launch. Agree on monitoring, review cadence and an operational owner before an AI workflow becomes part of everyday work.
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