Assess whether procurement should fail a vendor lacking eval rights (06b369)

SITUATION After a batch job still calling a retired endpoint, multi-model disagreement log on production cases is what enterprise AI control-plane owner can touch in a firm whose vendor MSA is silent on training rights. AI Governance Layer will live with Policy or governance breach versus Model defect on this Audit and Vendor Terms file.

DECISION Enterprise AI control-plane owner in a firm whose vendor MSA is silent on training rights must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using multi-model disagreement log on production cases after a batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. Enterprise AI control-plane owner can defend Policy or governance breach from multi-model disagreement log on production cases after a batch job still calling a retired endpoint in a AI Governance Layer challenge. 2. Enterprise AI control-plane owner cannot defend Policy or governance breach from multi-model disagreement log on production cases; Model defect is what the extract actually supports after a batch job still calling a retired endpoint. 3. A batch job still calling a retired endpoint never reached the population in multi-model disagreement log on production cases — reopen intake, do not close procurement should fail a. 4. Two facts in multi-model disagreement log on production cases after a batch job still calling a retired endpoint conflict for enterprise AI control-plane owner; hold this Audit and Vendor Terms file.

ANALYSIS REQUIRED 1. Map the control-plane score in multi-model disagreement log on production cases to the policy gate enterprise AI control-plane owner can enforce. 2. Name the override that would let procurement should fail a proceed without a silent bypass. 3. Test whether a batch job still calling a retired endpoint changed routing, logging, or human-in-the-loop on the live agent path. 4. For this AI Governance Layer Audit and Vendor Terms file, read multi-model disagreement log on production cases against a batch job still calling a retired endpoint and write the one fact that would move procurement should fail a for enterprise AI control-plane owner.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Audit and Vendor Terms packet (multi-model disagreement log on production cases after a batch job still calling a retired endpoint). Lead with the AI Governance Layer option multi-model disagreement log on production cases can support after a batch job still calling a retired endpoint, then the two facts that force it, then the Monday action for enterprise AI control-plane owner in a firm whose vendor MSA is silent on training rights.