Audit readiness

Know if your AI stack is ready for a savings audit.

Use this checklist to understand whether ML Mind should start with observability, pre-model optimization, gateway control or a deeper ModelOps review.

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Readiness signals

Your starting point

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How to use the result

Low readiness

Start with an Observe package: billing exports, usage summaries and lightweight architecture notes.

Medium readiness

Move toward Optimize or Control: add RAG samples, retry events, routing rules and workload categories.

High readiness

Validate a pilot: test direct savings controls while measuring answer integrity and operational risk.