Assess whether agents must have a human gate for external actions (fe1756)

Situation

An agent that refunded customers above its limit put output-scoring rubric that never fails a high-risk output in front of vendor-contract AI counsel's operations partner in a manufacturer sunsetting a vision model still used in QA. This AI Governance Layer / Lifecycle and Accountability close is agents must have a human gate from output-scoring rubric that never fails a high-risk output, and the live options are Policy or governance breach, Model defect, Dual failure.

Decision

Vendor-contract AI counsel's operations partner in a manufacturer sunsetting a vision model still used in QA 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 agent that refunded customers above its limit.

Hypotheses to test

• The population in output-scoring rubric that never fails a high-risk output is the one an agent that refunded customers above its limit named, so Policy or governance breach follows for this Lifecycle and Accountability file.
• The population in output-scoring rubric that never fails a high-risk output is adjacent only to an agent that refunded customers above its limit; Model defect is the honest AI Governance Layer call.
• A manufacturer sunsetting a vision model still used in QA already contained an agent that refunded customers above its limit before output-scoring rubric that never fails a high-risk output arrived; no new Lifecycle and Accountability path.
• Provenance on output-scoring rubric that never fails a high-risk output after an agent that refunded customers above its limit is broken; do not pick Policy or governance breach or Model defect yet.

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 an agent that refunded customers above its limit changed routing, logging, or human-in-the-loop on the live agent path.
• For this AI Governance Layer Lifecycle and Accountability file, read output-scoring rubric that never fails a high-risk output against an agent that refunded customers above its limit and write the one fact that would move agents must have a human gate for vendor-contract AI counsel's operations partner.