Assess whether vendor terms allow customer data in training (56e8eb)

SITUATION A publisher needing provenance on generated copy cannot treat a batch job still calling a retired endpoint as incidental context on reconciliation policy when two models split on materiality. Post-deployment monitoring owner must close vendor terms allow customer from that extract under AI Governance Layer / Audit and Vendor Terms.

DECISION Post-deployment monitoring owner in a publisher needing provenance on generated copy 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. Post-deployment monitoring owner can defend Policy or governance breach from reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint in a AI Governance Layer challenge. 2. Post-deployment monitoring owner cannot defend Policy or governance breach from reconciliation policy when two models split on materiality; 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 reconciliation policy when two models split on materiality — reopen intake, do not close vendor terms allow customer. 4. Two facts in reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint conflict for post-deployment monitoring owner; hold this Audit and Vendor Terms file.

ANALYSIS REQUIRED 1. Confirm the inventory line still matches the running configuration in a publisher needing provenance on generated copy. 2. Map the control-plane score in reconciliation policy when two models split on materiality to the policy gate post-deployment monitoring owner can enforce. 3. Name the override that would let vendor terms allow customer proceed without a silent bypass. 4. For this AI Governance Layer Audit and Vendor Terms 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 vendor terms allow customer 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 / Audit and Vendor Terms packet (reconciliation policy when two models split on materiality after a batch job still calling a retired endpoint). The follow-on Audit and Vendor Terms action is what post-deployment monitoring owner does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on vendor terms allow customer, then the evidence in reconciliation policy when two models split on materiality, then the action for post-deployment monitoring owner - Hypothesis scorecard against reconciliation policy when two models split on materiality: supported / rejected / untestable - What changes vendor terms allow customer if a batch job still calling a retired endpoint is later withdrawn - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others