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**Version 1 (79 words):** How do you run AI-assisted threat assessment without losing track of why a call was made? This guide walks through a governance setup that works in practice. Compare outputs from several models and record where they disagree

When AI models disagree on a threat assessment, the disagreement gets logged. Each review records its assumptions, names the human who owns the final call, and schedules a follow-up check. The review interval is set per case, not fixed at 30 days

When AI models disagree on a threat assessment, log the gap, record the assumptions behind each call, and name the person who signs off. Set each follow-up review date based on the risk level

When AI models disagree on a threat assessment, that gap gets logged, not averaged away. Every assumption is written down, a named person owns the final call, and a follow-up review is scheduled before anyone acts. *(About 215 characters