Assess whether procurement should fail a vendor lacking eval rights (d857f5)

SITUATION In an enterprise that just bought an AI 'control plane' vendor, multi-model disagreement log on production cases is the evidence after a customer discovering AI copy with no disclosure. Post-deployment monitoring owner has to pick Policy or governance breach or Model defect for this AI Governance Layer Lifecycle and Accountability close using multi-model disagreement log on production cases.

DECISION Post-deployment monitoring owner in an enterprise that just bought an AI 'control plane' vendor 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 customer discovering AI copy with no disclosure.

HYPOTHESES TO TEST 1. A customer discovering AI copy with no disclosure is noise around an already-controlled Lifecycle and Accountability process in an enterprise that just bought an AI 'control plane' vendor, given multi-model disagreement log on production cases. 2. A customer discovering AI copy with no disclosure is the event in multi-model disagreement log on production cases that forces Policy or governance breach for post-deployment monitoring owner under AI Governance Layer. 3. Multi-model disagreement log on production cases shows a one-file miss after a customer discovering AI copy with no disclosure, not a Lifecycle and Accountability program failure. 4. Multi-model disagreement log on production cases cannot decide procurement should fail a yet after a customer discovering AI copy with no disclosure; hold is the only AI Governance Layer close an enterprise that just bought an AI 'control plane' vendor can defend.

ANALYSIS REQUIRED 1. Map the control-plane score in multi-model disagreement log on production cases to the policy gate post-deployment monitoring owner can enforce. 2. Name the override that would let procurement should fail a proceed without a silent bypass. 3. Test whether a customer discovering AI copy with no disclosure changed routing, logging, or human-in-the-loop on the live agent path. 4. For this AI Governance Layer Lifecycle and Accountability file, read multi-model disagreement log on production cases against a customer discovering AI copy with no disclosure and write the one fact that would move procurement should fail a for post-deployment monitoring owner.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Lifecycle and Accountability packet (multi-model disagreement log on production cases after a customer discovering AI copy with no disclosure). Lead with the AI Governance Layer option multi-model disagreement log on production cases can support after a customer discovering AI copy with no disclosure, then the two facts that force it, then the Monday action for post-deployment monitoring owner in an enterprise that just bought an AI 'control plane' vendor.