To measure if AI is actually saving you time, record how long a task takes before you use AI, then track the same task for two weeks with AI, including review time. Compare the totals. If the time goes down and quality holds, keep it. If not, drop the tool. Measuring beats guessing.
This breakdown gives you a simple method. For a fuller view of value, read how to calculate AI ROI.
What to measure
- Time per task before AI
- Time per task with AI, including review
- Quality or error rate
- How often the team actually uses it
A two-week test
- 1
Baseline
Time the task without AI a few times..
- 2
Switch on AI
Use it for the same task for two weeks..
- 3
Count review time
Include the time spent checking output..
- 4
Compare and decide
Keep it only if net time drops..
Treat the figures below as third-party research and general context, not a forecast for your own business.
Do not forget review time
AI saves drafting time but adds checking time. If verification takes longer than it saved, the tool is not helping on that task, so measure the full cycle.
A real-world reference
The NBER study measured productivity carefully rather than assuming gains, which is the same discipline to apply in your business.
Frequently asked questions
How do I know if AI is saving time? +
Baseline a task, track it with AI for two weeks including review time, and compare the totals.
Should I count review time? +
Yes. AI saves drafting time but adds checking time, so measure the full cycle.
What if AI does not save time? +
Drop it for that task. Not every job benefits, and measuring tells you which do.
How long should I measure? +
About two weeks of real use is usually enough to see a clear pattern.
For broader value, read how to calculate AI ROI.