Buyer problem
The buyer needs credible evidence.
Agencies need to build AI capability while maintaining public trust, privacy, accessibility, and defensible training decisions.
Why traditional tools fail
Legacy tools see output, not thinking.
Generic training rollouts can create participation data without showing whether teams can apply AI responsibly.
How QLM solves it
QLM captures the process.
QLM uses scenario-based assessment and living evidence profiles to show readiness and support needs by role.
Evidence captured
The pilot produces reviewable signals.
Evidence includes task judgment, AI-use transparency, policy awareness, accessibility considerations, and intervention needs.
Pilot design
A focused pilot can run before a district or institutional rollout.
Begin with one department and one service workflow, then review readiness evidence with learning and governance leaders.
- 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.
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