Assess whether disagreement should block, queue, or log (59af48)

SITUATION Reconciliation policy when two models split on materiality arrived with a scorecard that rated 100% of outputs 'acceptable' for post-deployment monitoring owner. That is a AI Governance Layer Lifecycle and Accountability decision on disagreement should block, queue, in an enterprise that just bought an AI 'control plane' vendor.

DECISION Post-deployment monitoring owner in an enterprise that just bought an AI 'control plane' vendor must choose Disagreement should block, queue, / Log using reconciliation policy when two models split on materiality after a scorecard that rated 100% of outputs 'acceptable'.

HYPOTHESES TO TEST 1. Reconciliation policy when two models split on materiality reads as Disagreement should block, queue, once a scorecard that rated 100% of outputs 'acceptable' is lined up to the same AI Governance Layer population. 2. Reconciliation policy when two models split on materiality is closer to Log after a scorecard that rated 100% of outputs 'acceptable'; Disagreement should block, queue, would over-claim this Lifecycle and Accountability extract. 3. A dual reading is still live in reconciliation policy when two models split on materiality for post-deployment monitoring owner in an enterprise that just bought an AI 'control plane' vendor. 4. Reconciliation policy when two models split on materiality is missing the fact post-deployment monitoring owner needs after a scorecard that rated 100% of outputs 'acceptable'; stop this AI Governance Layer close.

ANALYSIS REQUIRED 1. Confirm the inventory line still matches the running configuration in an enterprise that just bought an AI 'control plane' vendor. 2. Map the control-plane score in reconciliation policy when two models split on materiality to the policy gate post-deployment monitoring owner can enforce. 3. Name the override that would let disagreement should block, queue, proceed without a silent bypass. 4. For this AI Governance Layer Lifecycle and Accountability 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 disagreement should block, queue, for post-deployment monitoring owner.

RECOMMENDATION Choose Disagreement should block, queue, / Log on this AI Governance Layer / Lifecycle and Accountability packet (reconciliation policy when two models split on materiality after a scorecard that rated 100% of outputs 'acceptable'). The follow-on Lifecycle and Accountability action is what post-deployment monitoring owner does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on disagreement should block, queue,, then the evidence in reconciliation policy when two models split on materiality, then the action for post-deployment monitoring owner - Hypothesis scorecard against reconciliation policy when two models split on materiality: supported / rejected / untestable - Lifecycle and Accountability finding in reconciliation policy when two models split on materiality that a second reviewer can re-perform - Missing page in reconciliation policy when two models split on materiality after a scorecard that rated 100% of outputs 'acceptable', if any