Assess whether monitoring detects drift or only outages (bd5c2d)

SITUATION Reconciliation policy when two models split on materiality arrived with a batch job still calling a retired endpoint for vendor-contract AI counsel's operations partner. That is a AI Governance Layer Lifecycle and Accountability decision on monitoring detects drift or in a manufacturer sunsetting a vision model still used in QA.

DECISION Vendor-contract AI counsel's operations partner in a manufacturer sunsetting a vision model still used in QA must choose Monitoring detects drift / Only outages using reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. The population in reconciliation policy when two models split on materiality 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 reconciliation policy when two models split on materiality is adjacent only to a batch job still calling a retired endpoint; Only outages is the honest AI Governance Layer call. 3. A manufacturer sunsetting a vision model still used in QA already contained a batch job still calling a retired endpoint before reconciliation policy when two models split on materiality arrived; no new Lifecycle and Accountability path. 4. Provenance on reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint is broken; do not pick Monitoring detects drift or Only outages yet.

ANALYSIS REQUIRED 1. Test whether a batch job still calling a retired endpoint changed routing, logging, or human-in-the-loop on the live agent path. 2. Score whether the agent action in reconciliation policy when two models split on materiality was in-policy, out-of-policy, or unlogged. 3. Confirm the inventory line still matches the running configuration in a manufacturer sunsetting a vision model still used in QA. 4. For this AI Governance Layer Lifecycle and Accountability file, read reconciliation policy when two models split on materiality against a batch job still calling a retired endpoint and write the one fact that would move monitoring detects drift or for vendor-contract AI counsel's operations partner.

RECOMMENDATION Choose Monitoring detects drift / Only outages on this AI Governance Layer / Lifecycle and Accountability packet (reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint). Lead with the AI Governance Layer option reconciliation policy when two models split on materiality can support after a batch job still calling a retired endpoint, then the two facts that force it, then the Monday action for vendor-contract AI counsel's operations partner in a manufacturer sunsetting a vision model still used in QA.