Assess whether deprecation will strand a downstream process (aeeeaf)

SITUATION After a vendor that changed subprocessors without notice, output-scoring rubric that never fails a high-risk output is what post-deployment monitoring owner can touch in a manufacturer sunsetting a vision model still used in QA. AI Governance Layer will live with Policy or governance breach versus Model defect on this Control Plane and Scoring file.

DECISION Post-deployment monitoring owner 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 a vendor that changed subprocessors without notice.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; output-scoring rubric that never fails a high-risk output already has the discriminator after a vendor that changed subprocessors without notice. 2. Keep Model defect in force until output-scoring rubric that never fails a high-risk output is completed after a vendor that changed subprocessors without notice for post-deployment monitoring owner. 3. Treat output-scoring rubric that never fails a high-risk output as Dual failure because both readings appear after a vendor that changed subprocessors without notice. 4. Refuse a AI Governance Layer close: post-deployment monitoring owner does not have the decision deprecation will strand a turns on in output-scoring rubric that never fails a high-risk output.

ANALYSIS REQUIRED 1. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate post-deployment monitoring owner can enforce. 2. Name the override that would let deprecation will strand a proceed without a silent bypass. 3. Test whether a vendor that changed subprocessors without notice changed routing, logging, or human-in-the-loop on the live agent path. 4. For this AI Governance Layer Control Plane and Scoring file, read output-scoring rubric that never fails a high-risk output against a vendor that changed subprocessors without notice and write the one fact that would move deprecation will strand a for post-deployment monitoring owner.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Control Plane and Scoring packet (output-scoring rubric that never fails a high-risk output after a vendor that changed subprocessors without notice). If output-scoring rubric that never fails a high-risk output cannot force a AI Governance Layer label under Control Plane and Scoring, stop. Do not invent missing evidence a manufacturer sunsetting a vision model still used in QA does not have.