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Strategy · Aug 14, 2026 · 5 min read
How to measure the ROI of AI projects
Hours saved is just the beginning. Here are the metrics that show whether AI is really working.
AI projects should be held to the same standard as any other investment. That starts with a baseline measured before anything is built.
Efficiency metrics
Hours saved, turnaround time and cost per transaction are the most direct measures for automation work.
Quality and revenue metrics
Error rates, customer satisfaction, conversion rates and response times capture value that pure time savings miss.
Adoption metrics
A tool nobody uses has zero ROI. Track weekly active users and feedback to know when more training is needed.