Assess whether monitoring detects drift or only outages (e5cab0)

SITUATION After a split so frequent that the queue is being auto-cleared, multi-model disagreement log on production cases is what model-deprecation manager can touch in a bank running three models on the same credit file. AI Governance Layer will live with Monitoring detects drift versus Only outages on this Lifecycle and Accountability file.

DECISION Model-deprecation manager in a bank running three models on the same credit file must choose Monitoring detects drift / Only outages using multi-model disagreement log on production cases after a split so frequent that the queue is being auto-cleared.

HYPOTHESES TO TEST 1. A split so frequent that the queue is being auto-cleared is noise around an already-controlled Lifecycle and Accountability process in a bank running three models on the same credit file, given multi-model disagreement log on production cases. 2. A split so frequent that the queue is being auto-cleared is the event in multi-model disagreement log on production cases that forces Monitoring detects drift for model-deprecation manager under AI Governance Layer. 3. Multi-model disagreement log on production cases shows a one-file miss after a split so frequent that the queue is being auto-cleared, not a Lifecycle and Accountability program failure. 4. Multi-model disagreement log on production cases cannot decide monitoring detects drift or yet after a split so frequent that the queue is being auto-cleared; hold is the only AI Governance Layer close a bank running three models on the same credit file can defend.

ANALYSIS REQUIRED 1. Confirm the inventory line still matches the running configuration in a bank running three models on the same credit file. 2. Map the control-plane score in multi-model disagreement log on production cases to the policy gate model-deprecation manager can enforce. 3. Name the override that would let monitoring detects drift or proceed without a silent bypass. 4. For this AI Governance Layer Lifecycle and Accountability file, read multi-model disagreement log on production cases against a split so frequent that the queue is being auto-cleared and write the one fact that would move monitoring detects drift or for model-deprecation manager.

RECOMMENDATION Choose Monitoring detects drift / Only outages on this AI Governance Layer / Lifecycle and Accountability packet (multi-model disagreement log on production cases after a split so frequent that the queue is being auto-cleared). The follow-on Lifecycle and Accountability action is what model-deprecation manager does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on monitoring detects drift or, then the evidence in multi-model disagreement log on production cases, then the action for model-deprecation manager - Hypothesis scorecard against multi-model disagreement log on production cases: supported / rejected / untestable - Lifecycle and Accountability finding in multi-model disagreement log on production cases that a second reviewer can re-perform - Missing page in multi-model disagreement log on production cases after a split so frequent that the queue is being auto-cleared, if any