Assess whether agents must have a human gate for external actions (5e27fa)

Situation

Model-deprecation manager in a bank running three models on the same credit file has one working extract — output-scoring rubric that never fails a high-risk output — after a purchase order signed before eval data rights were granted. If output-scoring rubric that never fails a high-risk output cannot support agents must have a human gate, the honest AI Governance Layer output is hold.

Decision

Model-deprecation manager 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 a purchase order signed before eval data rights were granted.

Hypotheses to test

• Authorize Policy or governance breach now; output-scoring rubric that never fails a high-risk output already has the discriminator after a purchase order signed before eval data rights were granted.
• Keep Model defect in force until output-scoring rubric that never fails a high-risk output is completed after a purchase order signed before eval data rights were granted for model-deprecation manager.
• Treat output-scoring rubric that never fails a high-risk output as Dual failure because both readings appear after a purchase order signed before eval data rights were granted.
• Refuse a AI Governance Layer close: model-deprecation manager does not have the page agents must have a human gate turns on in output-scoring rubric that never fails a high-risk output.

Analysis required

• Confirm the inventory line still matches the running configuration in a bank running three models on the same credit file.
• Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate model-deprecation manager can enforce.
• Name the override that would let agents must have a human gate proceed without a silent bypass.
• For this AI Governance Layer Lifecycle and Accountability file, read output-scoring rubric that never fails a high-risk output against a purchase order signed before eval data rights were granted and write the one fact that would move agents must have a human gate for model-deprecation manager.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Lifecycle and Accountability packet (output-scoring rubric that never fails a high-risk output after a purchase order signed before eval data rights were granted). The follow-on Lifecycle and Accountability action is what model-deprecation manager does next: implement the option, assign an owner, and log the missing fact.