The operating question.

AI fluency is a learning curve.

AI fluency is not a training-completion metric. It is the observable improvement in how a role uses AI inside real work: better questions, better review discipline, cleaner handoffs, and fewer outputs accepted before they are understood.

What to measure.

  • Role-specific tasks, not generic prompt confidence.
  • Review quality: when the operator accepts, edits, escalates, or rejects an AI output.
  • Manager evidence: which workflows got faster, safer, or more consistent after practice.

How to use it.

Use this read before broad enablement. If the workforce cannot operate the new AI workflow, the value case stalls even when the model performs.

Guidethe question, evidence, artifact, and action to sequence
Evidencethe source-linked facts needed for a defensible read
Next movehow the guidance connects back to the AI Audit