Assess whether the control plane actually controls production traffic (c03b29)

SITUATION Enterprise AI control-plane owner in a firm whose vendor MSA is silent on training rights has one working extract — reconciliation policy when two models split on materiality — after an agent that refunded customers above its limit. If reconciliation policy when two models split on materiality cannot support the control plane actually, the only defensible AI Governance Layer output is hold.

DECISION Enterprise AI control-plane owner in a firm whose vendor MSA is silent on training rights 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 an agent that refunded customers above its limit.

HYPOTHESES TO TEST 1. Enterprise AI control-plane owner can defend Policy or governance breach from reconciliation policy when two models split on materiality after an agent that refunded customers above its limit in a AI Governance Layer challenge. 2. Enterprise AI control-plane 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 an agent that refunded customers above its limit. 3. An agent that refunded customers above its limit never reached the population in reconciliation policy when two models split on materiality — reopen intake, do not close the control plane actually. 4. Two facts in reconciliation policy when two models split on materiality after an agent that refunded customers above its limit conflict for enterprise AI control-plane owner; hold this Audit and Vendor Terms file.

ANALYSIS REQUIRED 1. Name the override that would let the control plane actually proceed without a silent bypass. 2. Test whether an agent that refunded customers above its limit changed routing, logging, or human-in-the-loop on the live agent path. 3. Score whether the agent action in reconciliation policy when two models split on materiality was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Audit and Vendor Terms file, read reconciliation policy when two models split on materiality against an agent that refunded customers above its limit and write the one fact that would move the control plane actually for enterprise AI control-plane owner.

RECOMMENDATION The actionable close on reconciliation policy when two models split on materiality is Policy or governance breach if an agent that refunded customers above its limit left a complete Audit and Vendor Terms trail; otherwise Model defect. Enterprise AI control-plane owner should cite the specific line in reconciliation policy when two models split on materiality that settles the control plane actually before anyone else acts in a firm whose vendor MSA is silent on training rights.