Assess whether monitoring detects drift or only outages (1d7af1)

SITUATION Deprecation plan for a model still in a batch job arrived with a committee that has not met since the last incident for multi-model reconciliation lead. That is a AI Governance Layer Lifecycle and Accountability decision on monitoring detects drift or in a regulated entity that cannot reconstruct last month's decisions.

DECISION Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions must choose Monitoring detects drift / Only outages using deprecation plan for a model still in a batch job after a committee that has not met since the last incident.

HYPOTHESES TO TEST 1. Multi-model reconciliation lead can defend Monitoring detects drift from deprecation plan for a model still in a batch job after a committee that has not met since the last incident in a AI Governance Layer challenge. 2. Multi-model reconciliation lead cannot defend Monitoring detects drift from deprecation plan for a model still in a batch job; Only outages is what the extract actually supports after a committee that has not met since the last incident. 3. A committee that has not met since the last incident never reached the population in deprecation plan for a model still in a batch job — reopen intake, do not close monitoring detects drift or. 4. Two facts in deprecation plan for a model still in a batch job after a committee that has not met since the last incident conflict for multi-model reconciliation lead; hold this Lifecycle and Accountability file.

ANALYSIS REQUIRED 1. Name the override that would let monitoring detects drift or proceed without a silent bypass. 2. Test whether a committee that has not met since the last incident changed routing, logging, or human-in-the-loop on the live agent path. 3. Score whether the agent action in deprecation plan for a model still in a batch job was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Lifecycle and Accountability file, read deprecation plan for a model still in a batch job against a committee that has not met since the last incident and write the one fact that would move monitoring detects drift or for multi-model reconciliation lead.

RECOMMENDATION Choose Monitoring detects drift / Only outages on this AI Governance Layer / Lifecycle and Accountability packet (deprecation plan for a model still in a batch job after a committee that has not met since the last incident). 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.

COMMAND RETURNS - Bottom-line AI Governance Layer option on monitoring detects drift or, then the evidence in deprecation plan for a model still in a batch job, then the action for multi-model reconciliation lead - Hypothesis scorecard against deprecation plan for a model still in a batch job: supported / rejected / untestable - Regulatory or exam hook Lifecycle and Accountability would cite - Lifecycle and Accountability finding in deprecation plan for a model still in a batch job that a second reviewer can re-perform