Assess whether audits can reconstruct who authorized what (96f009)

SITUATION After a split so frequent that the queue is being auto-cleared, procurement scorecard that ignores eval datasets is what multi-model reconciliation lead can touch in a publisher needing provenance on generated copy. AI Governance Layer will live with Policy or governance breach versus Model defect on this Control Plane and Scoring file.

DECISION Multi-model reconciliation lead in a publisher needing provenance on generated copy must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using procurement scorecard that ignores eval datasets after a split so frequent that the queue is being auto-cleared.

HYPOTHESES TO TEST 1. Multi-model reconciliation lead can defend Policy or governance breach from procurement scorecard that ignores eval datasets after a split so frequent that the queue is being auto-cleared in a AI Governance Layer challenge. 2. Multi-model reconciliation lead cannot defend Policy or governance breach from procurement scorecard that ignores eval datasets; Model defect is what the extract actually supports after a split so frequent that the queue is being auto-cleared. 3. A split so frequent that the queue is being auto-cleared never reached the population in procurement scorecard that ignores eval datasets — reopen intake, do not close audits can reconstruct who. 4. Two facts in procurement scorecard that ignores eval datasets after a split so frequent that the queue is being auto-cleared conflict for multi-model reconciliation lead; hold this Control Plane and Scoring file.

ANALYSIS REQUIRED 1. Name the override that would let audits can reconstruct who proceed without a silent bypass. 2. Test whether a split so frequent that the queue is being auto-cleared changed routing, logging, or human-in-the-loop on the live agent path. 3. Score whether the agent action in procurement scorecard that ignores eval datasets was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Control Plane and Scoring file, read procurement scorecard that ignores eval datasets against a split so frequent that the queue is being auto-cleared and write the one fact that would move audits can reconstruct who for multi-model reconciliation lead.

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 (procurement scorecard that ignores eval datasets after a split so frequent that the queue is being auto-cleared). The follow-on Control Plane and Scoring action is what multi-model reconciliation lead does next: implement the option, assign an owner, and log the missing fact.