An AI agent's approval requests should be structured to ensure thorough review by human operators. The system should present factual details like the action, target, amount, and policy trigger first, followed by the agent's justification, and finally a link to the full trace for verification. This separation prevents the agent from unduly influencing the reviewer and allows for effective monitoring of approval times, rejection rates, and the accuracy of the agent's reasoning through planted requests. AI
IMPACT This guidance improves the reliability and safety of AI agent workflows by ensuring human oversight is effective.
RANK_REASON The item describes a specific implementation detail for AI agent approval workflows, which is a tooling or product-level concern.
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