Assess whether vendor terms allow customer data in training (d9ff09)

SITUATION In a hospital committee that never records dissent, reconciliation policy when two models split on materiality is the evidence after two production models recommending opposite actions on the same file. Enterprise AI control-plane owner has to pick Policy or governance breach or Model defect for this AI Governance Layer Lifecycle and Accountability close using reconciliation policy when two models split on materiality.

DECISION Enterprise AI control-plane owner in a hospital committee that never records dissent 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 two production models recommending opposite actions on the same file.

HYPOTHESES TO TEST 1. Reconciliation policy when two models split on materiality reads as Policy or governance breach once two production models recommending opposite actions on the same file is lined up to the same AI Governance Layer population. 2. Reconciliation policy when two models split on materiality is closer to Model defect after two production models recommending opposite actions on the same file; Policy or governance breach would over-claim this Lifecycle and Accountability extract. 3. Dual failure is still live in reconciliation policy when two models split on materiality for enterprise AI control-plane owner in a hospital committee that never records dissent. 4. Reconciliation policy when two models split on materiality is missing the fact enterprise AI control-plane owner needs after two production models recommending opposite actions on the same file; stop this AI Governance Layer close.

ANALYSIS REQUIRED 1. Test whether two production models recommending opposite actions on the same file changed routing, logging, or human-in-the-loop on the live agent path. 2. Score whether the agent action in reconciliation policy when two models split on materiality was in-policy, out-of-policy, or unlogged. 3. Confirm the inventory line still matches the running configuration in a hospital committee that never records dissent. 4. For this AI Governance Layer Lifecycle and Accountability file, read reconciliation policy when two models split on materiality against two production models recommending opposite actions on the same file and write the one fact that would move vendor terms allow customer 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 / Lifecycle and Accountability packet (reconciliation policy when two models split on materiality after two production models recommending opposite actions on the same file). The follow-on Lifecycle and Accountability action is what enterprise AI control-plane owner does next: implement the option, assign an owner, and log the missing fact.