Assess whether the control plane actually controls production traffic (9ae0ef)

SITUATION The working file is output-scoring rubric that never fails a high-risk output after an examiner asking who authorized last Tuesday's model output. Content-attribution program lead in a bank running three models on the same credit file has to name Policy or governance breach or Model defect for this AI Governance Layer Audit and Vendor Terms file.

DECISION Content-attribution program lead in a bank running three models on the same credit file must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using output-scoring rubric that never fails a high-risk output after an examiner asking who authorized last Tuesday's model output.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; output-scoring rubric that never fails a high-risk output already has the discriminator after an examiner asking who authorized last Tuesday's model output. 2. Keep Model defect in force until output-scoring rubric that never fails a high-risk output is completed after an examiner asking who authorized last Tuesday's model output for content-attribution program lead. 3. Treat output-scoring rubric that never fails a high-risk output 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 output-scoring rubric that never fails a high-risk output.

ANALYSIS REQUIRED 1. Confirm the inventory line still matches the running configuration in a bank running three models on the same credit file. 2. Map the control-plane score in output-scoring rubric that never fails a high-risk output 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 Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output 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 / Audit and Vendor Terms packet (output-scoring rubric that never fails a high-risk output after an examiner asking who authorized last Tuesday's model output). The follow-on Audit and Vendor Terms 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 output-scoring rubric that never fails a high-risk output, then the action for content-attribution program lead - Hypothesis scorecard against output-scoring rubric that never fails a high-risk output: supported / rejected / untestable - Owner and next date for content-attribution program lead in a bank running three models on the same credit file - What changes the control plane actually if an examiner asking who authorized last Tuesday's model output is later withdrawn