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GPT-5.5, Anthropic-Amazon compute expansion, the May 8 OpenAI remediation deadline, and NIST's critical-infrastructure AI RMF concept note all point to the same operator question: when model access changes during the week, do routing rules, fallback paths, patch ownership, and evidence controls still hold?

A stronger model is a routing change, not just a capability upgrade.
Tier variance and fallback behavior create immediate operator drift risk.
Compute concentration and provider dependence belong in workflow continuity planning.
Dated remediation deadlines need named owners and daily evidence, not passive awareness.
One weekly owner/evidence/due-date control map is more useful than another abstract AI policy memo.

Run one model-routing control check:

Name the primary model, fallback model, and escalation owner.
Re-test the top 10 prompts across primary and fallback paths.
Measure correction load, access variance, and failure rate by team.
Publish one dated remediation status block.
Create one standards-shaped owner/evidence/due-date control map for a critical workflow.