Assess whether procurement should fail a vendor lacking eval rights (7b4a03)

SITUATION After a scorecard that rated 100% of outputs 'acceptable', vendor MSA clauses on training, indemnity, and subprocessors is what multi-model reconciliation lead can touch in an enterprise that just bought an AI 'control plane' vendor. AI Governance Layer will live with Policy or governance breach versus Model defect on this Audit and Vendor Terms file.

DECISION Multi-model reconciliation lead 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 vendor MSA clauses on training, indemnity, and subprocessors after a scorecard that rated 100% of outputs 'acceptable'.

HYPOTHESES TO TEST 1. A scorecard that rated 100% of outputs 'acceptable' is noise around an already-controlled Audit and Vendor Terms process in an enterprise that just bought an AI 'control plane' vendor, given vendor MSA clauses on training, indemnity, and subprocessors. 2. A scorecard that rated 100% of outputs 'acceptable' is the event in vendor MSA clauses on training, indemnity, and subprocessors that forces Policy or governance breach for multi-model reconciliation lead under AI Governance Layer. 3. Vendor MSA clauses on training, indemnity, and subprocessors shows a one-file miss after a scorecard that rated 100% of outputs 'acceptable', not a Audit and Vendor Terms program failure. 4. Vendor MSA clauses on training, indemnity, and subprocessors cannot decide procurement should fail a yet after a scorecard that rated 100% of outputs 'acceptable'; 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 vendor MSA clauses on training, indemnity, and subprocessors to the policy gate multi-model reconciliation lead can enforce. 2. Name the override that would let procurement should fail a proceed without a silent bypass. 3. Test whether a scorecard that rated 100% of outputs 'acceptable' 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 vendor MSA clauses on training, indemnity, and subprocessors against a scorecard that rated 100% of outputs 'acceptable' and write the one fact that would move procurement should fail a for multi-model reconciliation lead.

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 (vendor MSA clauses on training, indemnity, and subprocessors after a scorecard that rated 100% of outputs 'acceptable'). The follow-on Audit and Vendor Terms action is what multi-model reconciliation lead does next: implement the option, assign an owner, and log the missing fact.