Assess whether procurement should fail a vendor lacking eval rights (a71df5)

SITUATION A batch job still calling a retired endpoint put reconciliation policy when two models split on materiality in front of vendor-contract AI counsel's operations partner in a manufacturer sunsetting a vision model still used in QA. This AI Governance Layer / Lifecycle and Accountability close is procurement should fail a from reconciliation policy when two models split on materiality, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION Vendor-contract AI counsel's operations partner in a manufacturer sunsetting a vision model still used in QA must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach on procurement should fail a now if reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint already carries the Lifecycle and Accountability discriminator for vendor-contract AI counsel's operations partner. 2. Keep Model defect in force until reconciliation policy when two models split on materiality is completed after a batch job still calling a retired endpoint in a manufacturer sunsetting a vision model still used in QA. 3. Treat reconciliation policy when two models split on materiality as Dual failure because both Policy or governance breach and Model defect appear after a batch job still calling a retired endpoint. 4. Vendor-contract AI counsel's operations partner does not have the decision procurement should fail a turns on in reconciliation policy when two models split on materiality; refuse a AI Governance Layer close.

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 procurement should fail a for vendor-contract AI counsel's operations partner.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact 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). If reconciliation policy when two models split on materiality cannot force a AI Governance Layer label under Lifecycle and Accountability, stop. If reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint cannot support Policy or governance breach versus Model defect on this AI Governance Layer Lifecycle and Accountability close, vendor-contract AI counsel's operations partner must leave the classification unresolved and name the missing control or provenance fact.