Multi-model reconciliation lead must resolve whether the control plane

Situation

Multi-model reconciliation lead in a publisher needing provenance on generated copy has one working extract — enterprise AI risk register with missing owners — after two production models recommending opposite actions on the same file. If enterprise AI risk register with missing owners cannot support the control plane actually, the honest AI Governance Layer output is hold.

Decision

Multi-model reconciliation lead in a publisher needing provenance on generated copy must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using enterprise AI risk register with missing owners after two production models recommending opposite actions on the same file.

Hypotheses to test

• Two production models recommending opposite actions on the same file is noise around an already-controlled Control Plane and Scoring process in a publisher needing provenance on generated copy, given enterprise AI risk register with missing owners.
• Two production models recommending opposite actions on the same file is the event in enterprise AI risk register with missing owners that forces Policy or governance breach for multi-model reconciliation lead under AI Governance Layer.
• Enterprise AI risk register with missing owners shows a one-file miss after two production models recommending opposite actions on the same file, not a Control Plane and Scoring program failure.
• Enterprise AI risk register with missing owners cannot decide the control plane actually yet after two production models recommending opposite actions on the same file; hold is the only AI Governance Layer close a publisher needing provenance on generated copy can defend.

Analysis required

• Name the override that would let the control plane actually proceed without a silent bypass.
• Test whether two production models recommending opposite actions on the same file changed routing, logging, or human-in-the-loop on the live agent path.
• Score whether the agent action in enterprise AI risk register with missing owners was in-policy, out-of-policy, or unlogged.
• For this AI Governance Layer Control Plane and Scoring file, read enterprise AI risk register with missing owners against two production models recommending opposite actions on the same file and write the one fact that would move the control plane actually for multi-model reconciliation lead.