The AI Value Measurement Framework
A practical guide to proving ROI from the first release (without vague dashboards)
Most AI programs don’t get questioned because the model is “bad.”
They get questioned because the business can’t answer one simple thing:
What value did we get—and how do we know it’s real?
That’s where many initiatives stall. The team shows a good demo. Early users say it’s helpful. A dashboard goes live. And then the budget conversation starts. Suddenly, the numbers don’t hold up. Or worse, everyone is looking at different numbers.
This whitepaper gives you a practical way to prove ROI from the first release—across TIME, COST, RISK, and REVENUE—without relying on activity dashboards or vague “hours saved” claims.
