Assess whether agents must have a human gate for external actions (adf35d)

SITUATION A scorecard that rated 100% of outputs 'acceptable' put reconciliation policy when two models split on materiality in front of AI committee secretariat in a regulated entity that cannot reconstruct last month's decisions. This AI Governance Layer / Control Plane and Scoring close is agents must have a human gate from reconciliation policy when two models split on materiality, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION AI committee secretariat in a regulated entity that cannot reconstruct last month's decisions must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using reconciliation policy when two models split on materiality after a scorecard that rated 100% of outputs 'acceptable'.

HYPOTHESES TO TEST 1. A scorecard that rated 100% of outputs 'acceptable' is noise around an already-controlled Control Plane and Scoring process in a regulated entity that cannot reconstruct last month's decisions, given reconciliation policy when two models split on materiality. 2. A scorecard that rated 100% of outputs 'acceptable' is the event in reconciliation policy when two models split on materiality that forces Policy or governance breach for AI committee secretariat under AI Governance Layer. 3. Reconciliation policy when two models split on materiality shows a one-file miss after a scorecard that rated 100% of outputs 'acceptable', not a Control Plane and Scoring program failure. 4. Reconciliation policy when two models split on materiality cannot decide agents must have a human gate yet after a scorecard that rated 100% of outputs 'acceptable'; hold is the only AI Governance Layer close a regulated entity that cannot reconstruct last month's decisions can defend.

ANALYSIS REQUIRED 1. Test whether a scorecard that rated 100% of outputs 'acceptable' changed routing, logging, or human-in-the-loop on the live agent path. 2. Score whether the agent action in reconciliation policy when two models split on materiality was in-policy, out-of-policy, or unlogged. 3. Confirm the inventory line still matches the running configuration in a regulated entity that cannot reconstruct last month's decisions. 4. For this AI Governance Layer Control Plane and Scoring file, read reconciliation policy when two models split on materiality against a scorecard that rated 100% of outputs 'acceptable' and write the one fact that would move agents must have a human gate for AI committee secretariat.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Control Plane and Scoring packet (reconciliation policy when two models split on materiality after a scorecard that rated 100% of outputs 'acceptable'). If reconciliation policy when two models split on materiality cannot force a AI Governance Layer label under Control Plane and Scoring, stop. Do not invent missing evidence a regulated entity that cannot reconstruct last month's decisions does not have.