Buyer problem
The buyer needs credible evidence.
Corporate academies need to show whether employees can apply AI learning to real work after the program.
Why traditional tools fail
Legacy tools see output, not thinking.
Academies often measure satisfaction, participation, and module completion while leaving transfer unclear.
How QLM solves it
QLM captures the process.
QLM adds pre/post performance tasks, scenario evidence, and living profiles to corporate AI academy programs.
Evidence captured
The pilot produces reviewable signals.
Evidence includes baseline skill, post-program performance, transfer tasks, reflection quality, and readiness changes.
Pilot design
A focused pilot can run before a district or institutional rollout.
Instrument one academy cohort with QLM tasks before, during, and after training to produce an evidence report.
- 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.
Build academy evidence →