Assess whether monitoring detects drift or only outages (04d1ac)

SITUATION Model-deprecation manager at a bank running three models on the same credit file is reviewing deprecation plan for a model still in a batch job after a batch job still calling a retired endpoint. The question on that extract is whether monitoring detects drift or only outages. The packet does not yet prove Monitoring detects drift versus Only outages.

DECISION Model-deprecation manager in a bank running three models on the same credit file must choose Monitoring detects drift / Only outages using deprecation plan for a model still in a batch job after a batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. The population in deprecation plan for a model still in a batch job is the one a batch job still calling a retired endpoint named, so Monitoring detects drift follows for this Lifecycle and Accountability file. 2. The population in deprecation plan for a model still in a batch job is adjacent only to a batch job still calling a retired endpoint; Only outages is the honest AI Governance Layer call. 3. A bank running three models on the same credit file already contained a batch job still calling a retired endpoint before deprecation plan for a model still in a batch job arrived; no new Lifecycle and Accountability path. 4. Provenance on deprecation plan for a model still in a batch job after a batch job still calling a retired endpoint is broken; do not pick Monitoring detects drift or Only outages yet.

ANALYSIS REQUIRED 1. Name the override that would let monitoring detects drift or proceed without a silent bypass. 2. Test whether a batch job still calling a retired endpoint 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 batch job still calling a retired endpoint 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 (deprecation plan for a model still in a batch job after a batch job still calling a retired endpoint). 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 deprecation plan for a model still in a batch job, then the action for model-deprecation manager - Hypothesis scorecard against deprecation plan for a model still in a batch job: supported / rejected / untestable - Missing page in deprecation plan for a model still in a batch job after a batch job still calling a retired endpoint, if any - Regulatory or exam hook Lifecycle and Accountability would cite