Assess whether disagreement should block, queue, or log (af981d)

SITUATION In a regulated entity that cannot reconstruct last month's decisions, decision-audit trail with gaps at the human-gate step is the evidence after an agent that refunded customers above its limit. Multi-model reconciliation lead has to pick Disagreement should block, queue, or Log for this AI Governance Layer Lifecycle and Accountability close using decision-audit trail with gaps at the human-gate step.

DECISION Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions must choose Disagreement should block, queue, / Log using decision-audit trail with gaps at the human-gate step after an agent that refunded customers above its limit.

HYPOTHESES TO TEST 1. An agent that refunded customers above its limit is noise around an already-controlled Lifecycle and Accountability process in a regulated entity that cannot reconstruct last month's decisions, given decision-audit trail with gaps at the human-gate step. 2. An agent that refunded customers above its limit is the event in decision-audit trail with gaps at the human-gate step that forces Disagreement should block, queue, for multi-model reconciliation lead under AI Governance Layer. 3. Decision-audit trail with gaps at the human-gate step shows a one-file miss after an agent that refunded customers above its limit, not a Lifecycle and Accountability program failure. 4. Decision-audit trail with gaps at the human-gate step cannot decide disagreement should block, queue, yet after an agent that refunded customers above its limit; hold is the only AI Governance Layer close a regulated entity that cannot reconstruct last month's decisions can defend.

ANALYSIS REQUIRED 1. Score whether the agent action in decision-audit trail with gaps at the human-gate step was in-policy, out-of-policy, or unlogged. 2. Confirm the inventory line still matches the running configuration in a regulated entity that cannot reconstruct last month's decisions. 3. Map the control-plane score in decision-audit trail with gaps at the human-gate step to the policy gate multi-model reconciliation lead can enforce. 4. For this AI Governance Layer Lifecycle and Accountability file, read decision-audit trail with gaps at the human-gate step against an agent that refunded customers above its limit and write the one fact that would move disagreement should block, queue, for multi-model reconciliation lead.

RECOMMENDATION Choose Disagreement should block, queue, / Log on this AI Governance Layer / Lifecycle and Accountability packet (decision-audit trail with gaps at the human-gate step after an agent that refunded customers above its limit). The follow-on Lifecycle and Accountability action is what multi-model reconciliation lead does next: implement the option, assign an owner, and log the missing fact.