How do you measure AI ROI?
Baseline the workflow before launch, measure net human time after launch including review time, add measurable quality or revenue effects, subtract full build and running costs, and review at 30, 90 and 365 days.
Take the baseline before you build: volume, hours per case, error or rework rate and cost per case. After launch, count net hours saved, which means subtracting review and exception-handling time, and add the full running cost: model calls, infrastructure, monitoring and the people who maintain it. Review at 30 and 90 days. Quality changes such as fewer errors or faster response can matter more than hours saved.