Assess whether the control plane actually controls production traffic (4d27dd)

SITUATION Content-attribution program lead is responsible for the control plane actually in a firm whose vendor MSA is silent on training rights, using multi-model disagreement log on production cases as the only working extract. An examiner asking who authorized last Tuesday's model output is what reset the timeline for this AI Governance Layer Lifecycle and Accountability file.

DECISION Content-attribution program lead 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 multi-model disagreement log on production cases after an examiner asking who authorized last Tuesday's model output.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; multi-model disagreement log on production cases already has the discriminator after an examiner asking who authorized last Tuesday's model output. 2. Keep Model defect in force until multi-model disagreement log on production cases is completed after an examiner asking who authorized last Tuesday's model output for content-attribution program lead. 3. Treat multi-model disagreement log on production cases as Dual failure because both readings appear after an examiner asking who authorized last Tuesday's model output. 4. Refuse a AI Governance Layer close: content-attribution program lead does not have the decision the control plane actually turns on in multi-model disagreement log on production cases.

ANALYSIS REQUIRED 1. Confirm the inventory line still matches the running configuration in a firm whose vendor MSA is silent on training rights. 2. Map the control-plane score in multi-model disagreement log on production cases to the policy gate content-attribution program lead can enforce. 3. Name the override that would let the control plane actually proceed without a silent bypass. 4. For this AI Governance Layer Lifecycle and Accountability file, read multi-model disagreement log on production cases against an examiner asking who authorized last Tuesday's model output and write the one fact that would move the control plane actually for content-attribution program 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 (multi-model disagreement log on production cases after an examiner asking who authorized last Tuesday's model output). The follow-on Lifecycle and Accountability action is what content-attribution program lead does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on the control plane actually, then the evidence in multi-model disagreement log on production cases, then the action for content-attribution program lead - Hypothesis scorecard against multi-model disagreement log on production cases: supported / rejected / untestable - Owner and next date for content-attribution program lead in a firm whose vendor MSA is silent on training rights - What changes the control plane actually if an examiner asking who authorized last Tuesday's model output is later withdrawn