Enterprise use case · QLM category creation

Enterprise AI Readiness Assessment

AI readiness should measure what people can do in context, not only what they know about AI.

Buyer problem

The buyer needs credible evidence.

Executives need visibility into AI capability gaps before scaling tools, workflows, and automation.

Why traditional tools fail

Legacy tools see output, not thinking.

Questionnaires and generic quizzes can provide baseline awareness, but they may not show workplace judgment.

How QLM solves it

QLM captures the process.

QLM uses role-specific scenarios to test AI fluency, risk awareness, verification, collaboration, and decision quality.

Evidence captured

The pilot produces reviewable signals.

Evidence includes AI task choices, prompt revision, source checking, limitation awareness, and scenario outcomes.

Pilot design

A focused pilot can run before a district or institutional rollout.

Run one role-family readiness assessment, compare teams by evidence patterns, and define targeted interventions.

  • Select one cohort and one measurable outcome.
  • Run QLM for a short cycle with teacher or leader review.
  • Review misconception, reasoning, and evidence patterns.
  • Decide whether to expand the pilot.

Next step

Turn the category into a pilot.

Use this path when you want a pilot, research partnership, or product walkthrough.

Assess AI readiness