APPLIED GUIDE
How to measure AI training ROI
Training ROI should compare a defined task before and after learning. Combine time and cost with quality, rework, risk events, adoption by the intended group, and evidence that people can transfer the skill without step-by-step coaching.
Recommended process
Training ROI should compare a defined task before and after learning. Combine time and cost with quality, rework, risk events, adoption by the intended group, and evidence that people can transfer the skill without step-by-step coaching.
- Choose one task and collect a baseline sample.
- Define quality and risk indicators before training.
- Use the same representative cases after training.
Review checklist
Use this checklist before accepting the output or turning it into an action.
- Include reviewer time and correction cost.
- Report confidence intervals or limitations when the sample is small.
CONCRETE EXAMPLE
Observable result
A team measures first-draft time, unsupported claims, reviewer corrections, and final acceptance for 20 briefs before and after a course.
- Choose one task and collect a baseline sample.
- Define quality and risk indicators before training.
- Use the same representative cases after training.
PRIMARY SOURCES
Check the basis for this guide.
NIST · 2023
AI Risk Management Framework 1.0
NIST · 2023
NIST AI RMF Playbook
NIST · 2024
Generative AI Profile — NIST AI 600-1
Frequently asked questions
Is time saved enough to prove ROI?
No. Faster work can create more rework or risk. Pair time with quality, corrections, and outcome measures.
Which work task should use AI first?
Choose a frequent, reversible task with clear quality criteria and low consequences if the first draft is wrong.
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