How do I measure the ROI of AI workflow automation?

Measuring ROI of AI workflow automation involves tracking time savings, cost reduction, error reduction, and revenue impact. Calculate time saved by comparing manual processing time to automated time, then multiply by hourly costs. Track error rates before and after automation—fewer errors mean less rework and higher quality. Measure productivity improvements by comparing output volumes. For customer-facing workflows, track satisfaction scores and response times. Revenue impact might come from faster processing enabling more sales or better customer retention. Example: If automation saves 20 hours per week at $50/hour and reduces errors by 30%, the annual ROI could be $50,000+ in savings.