Category essay · QLM category creation

AI Training ROI Requires Performance Evidence

AI training ROI should answer whether people can now perform differently, not only whether they finished training.

Category essay

The easy metric trap

Completion, attendance, and satisfaction are easy to collect, but they are weak signals for AI capability.

What ROI should ask

A better ROI question asks whether people improved in role-aligned AI tasks, risk handling, and transfer.

QLM's approach

QLM captures baseline and follow-up performance evidence so leaders can see readiness movement over time.

Published by Quantum Learning Machines · 2026-06-02

Related QLM paths

Keep building the category map.

Enterprise use caseAI Training ROI EvidenceQLM helps organizations evaluate AI training ROI with performance evidence, transfer signals, and readiness movement.Enterprise use caseCorporate AI AcademyQLM helps corporate academies prove AI skill transfer through simulation-based assessment and living skills evidence.WorkforceAI Competency AssessmentQLM helps organizations measure AI competency through scenario-based evidence rather than usage or completion alone.

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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