Assess whether agents must have a human gate for external actions (48fc1e)

Situation

The desk packet is output-scoring rubric that never fails a high-risk output after a scorecard that rated 100% of outputs 'acceptable'. Vendor-contract AI counsel's operations partner in an enterprise that just bought an AI 'control plane' vendor has to name Policy or governance breach or Model defect for this AI Governance Layer Control Plane and Scoring file.

Decision

Vendor-contract AI counsel's operations partner in an enterprise that just bought an AI 'control plane' vendor 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 scorecard that rated 100% of outputs 'acceptable'.

Hypotheses to test

• A scorecard that rated 100% of outputs 'acceptable' is noise around an already-controlled Control Plane and Scoring process in an enterprise that just bought an AI 'control plane' vendor, given output-scoring rubric that never fails a high-risk output.
• A scorecard that rated 100% of outputs 'acceptable' is the event in output-scoring rubric that never fails a high-risk output that forces Policy or governance breach for vendor-contract AI counsel's operations partner under AI Governance Layer.
• Output-scoring rubric that never fails a high-risk output shows a one-file miss after a scorecard that rated 100% of outputs 'acceptable', not a Control Plane and Scoring program failure.
• Output-scoring rubric that never fails a high-risk output cannot decide agents must have a human gate yet after a scorecard that rated 100% of outputs 'acceptable'; hold is the only AI Governance Layer close an enterprise that just bought an AI 'control plane' vendor can defend.

Analysis required

• Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate vendor-contract AI counsel's operations partner can enforce.
• Name the override that would let agents must have a human gate proceed without a silent bypass.
• Test whether a scorecard that rated 100% of outputs 'acceptable' changed routing, logging, or human-in-the-loop on the live agent path.
• For this AI Governance Layer Control Plane and Scoring file, read output-scoring rubric that never fails a high-risk output against a scorecard that rated 100% of outputs 'acceptable' and write the one fact that would move agents must have a human gate for vendor-contract AI counsel's operations partner.