Assess whether deprecation will strand a downstream process (c05018)

Situation

Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions has one working extract — post-deployment monitoring that only tracks uptime — after a batch job still calling a retired endpoint. If post-deployment monitoring that only tracks uptime cannot support deprecation will strand a, the honest AI Governance Layer output is hold.

Decision

Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using post-deployment monitoring that only tracks uptime after a batch job still calling a retired endpoint.

Hypotheses to test

• Authorize Policy or governance breach now; post-deployment monitoring that only tracks uptime already has the discriminator after a batch job still calling a retired endpoint.
• Keep Model defect in force until post-deployment monitoring that only tracks uptime is completed after a batch job still calling a retired endpoint for multi-model reconciliation lead.
• Treat post-deployment monitoring that only tracks uptime as Dual failure because both readings appear after a batch job still calling a retired endpoint.
• Refuse a AI Governance Layer close: multi-model reconciliation lead does not have the page deprecation will strand a turns on in post-deployment monitoring that only tracks uptime.

Analysis required

• Test whether a batch job still calling a retired endpoint changed routing, logging, or human-in-the-loop on the live agent path.
• Score whether the agent action in post-deployment monitoring that only tracks uptime was in-policy, out-of-policy, or unlogged.
• Confirm the inventory line still matches the running configuration in a regulated entity that cannot reconstruct last month's decisions.
• For this AI Governance Layer Lifecycle and Accountability file, read post-deployment monitoring that only tracks uptime against a batch job still calling a retired endpoint and write the one fact that would move deprecation will strand a for multi-model reconciliation lead.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Lifecycle and Accountability packet (post-deployment monitoring that only tracks uptime after a batch job still calling a retired endpoint). Lead with the AI Governance Layer option post-deployment monitoring that only tracks uptime can support after a batch job still calling a retired endpoint, 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.