Key takeaway
Time-saved metrics overstate AI program value and undercount risk; organizations get a more accurate ROI picture by also tracking error rates, rework, and decision quality.
Hours saved is the number every AI vendor demo leads with. It's also the number least connected to whether the program is actually working.
Why it matters
Time saved on a task says nothing about whether the output was correct, whether it required rework, or whether a decision made faster was also made worse. Programs optimized purely for speed tend to accumulate hidden rework costs.
What we're seeing
In the engagements where we tracked error rates and downstream rework alongside time saved, roughly a third of the reported time savings were offset by correction cycles that weren't being counted in the original ROI figure.
Practical recommendations
Pair every time-saved metric with an error or rework rate. Track decision quality on a sample of AI-assisted outputs, not just volume. Report both numbers together, not the favorable one alone.
Key takeaway
A program that saves time but increases rework isn't an efficiency gain. Track both sides of the ledger before renewing the budget.
Paige Bradbury
Founder & Principal Consultant, The Bradbury Group
Instructional designer, AI consultant, and former CNN Radio correspondent helping leaders build AI-ready organizations.