Assess whether monitoring detects drift or only outages (2ae85b)

SITUATION A regulated entity that cannot reconstruct last month's decisions cannot treat two production models recommending opposite actions on the same file as incidental context on enterprise AI risk register with missing owners. Multi-model reconciliation lead must close monitoring detects drift or from that extract under AI Governance Layer / Lifecycle and Accountability.

DECISION Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions must choose Monitoring detects drift / Only outages using enterprise AI risk register with missing owners after two production models recommending opposite actions on the same file.

HYPOTHESES TO TEST 1. Two production models recommending opposite actions on the same file is noise around an already-controlled Lifecycle and Accountability process in a regulated entity that cannot reconstruct last month's decisions, given enterprise AI risk register with missing owners. 2. Two production models recommending opposite actions on the same file is the event in enterprise AI risk register with missing owners that forces Monitoring detects drift for multi-model reconciliation lead under AI Governance Layer. 3. 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 Lifecycle and Accountability program failure. 4. Enterprise AI risk register with missing owners cannot decide monitoring detects drift or yet after two production models recommending opposite actions on the same file; hold is the only AI Governance Layer close a regulated entity that cannot reconstruct last month's decisions can defend.

ANALYSIS REQUIRED 1. Score whether the agent action in enterprise AI risk register with missing owners was in-policy, out-of-policy, or unlogged. 2. Confirm the inventory line still matches the running configuration in a regulated entity that cannot reconstruct last month's decisions. 3. Map the control-plane score in enterprise AI risk register with missing owners to the policy gate multi-model reconciliation lead can enforce. 4. For this AI Governance Layer Lifecycle and Accountability 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 monitoring detects drift or for multi-model reconciliation lead.

RECOMMENDATION Choose Monitoring detects drift / Only outages on this AI Governance Layer / Lifecycle and Accountability packet (enterprise AI risk register with missing owners after two production models recommending opposite actions on the same file). Lead with the AI Governance Layer option enterprise AI risk register with missing owners can support after two production models recommending opposite actions on the same file, then the two facts that force it, then the Monday action for multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions.