Assess whether procurement should fail a vendor lacking eval rights (388dab)

SITUATION Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions has one working extract — vendor MSA clauses on training, indemnity, and subprocessors — after a purchase order signed before eval data rights were granted. If vendor MSA clauses on training, indemnity, and subprocessors cannot support procurement should fail a, the only defensible AI Governance Layer output is hold.

DECISION Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions 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 purchase order signed before eval data rights were granted.

HYPOTHESES TO TEST 1. Multi-model reconciliation lead can defend Policy or governance breach from vendor MSA clauses on training, indemnity, and subprocessors after a purchase order signed before eval data rights were granted in a AI Governance Layer challenge. 2. Multi-model reconciliation lead cannot defend Policy or governance breach from vendor MSA clauses on training, indemnity, and subprocessors; Model defect is what the extract actually supports after a purchase order signed before eval data rights were granted. 3. A purchase order signed before eval data rights were granted never reached the population in vendor MSA clauses on training, indemnity, and subprocessors — reopen intake, do not close procurement should fail a. 4. Two facts in vendor MSA clauses on training, indemnity, and subprocessors after a purchase order signed before eval data rights were granted conflict for multi-model reconciliation lead; hold this Lifecycle and Accountability file.

ANALYSIS REQUIRED 1. Name the override that would let procurement should fail a proceed without a silent bypass. 2. Test whether a purchase order signed before eval data rights were granted changed routing, logging, or human-in-the-loop on the live agent path. 3. Score whether the agent action in vendor MSA clauses on training, indemnity, and subprocessors was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Lifecycle and Accountability file, read vendor MSA clauses on training, indemnity, and subprocessors against a purchase order signed before eval data rights were granted 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 / Lifecycle and Accountability packet (vendor MSA clauses on training, indemnity, and subprocessors after a purchase order signed before eval data rights were granted). The follow-on Lifecycle and Accountability action is what multi-model reconciliation lead does next: implement the option, assign an owner, and log the missing fact.