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Does AI still save effort after review and exceptions?
Model adoption-adjusted time savings after mandatory review and failed-output handling.
Example scenario
Editable demonstration inputs, not verified industry benchmarks. Enable JavaScript to calculate your own scenario.
- Annual tasks
- 50,000
- Manual minutes / task
- 15
- Human review minutes / adopted task
- 4
- Tasks actually using AI
- 70 %
- Adopted tasks needing full manual rework
- 10 %
- Loaded human cost / hour
- $45
- Annual AI & workflow cost
- $60,000
Annual net labor time-value benefit
Example result only, not a forecast or promise.
- Human hours released
- 5,541.7
- Annual human-review hours
- 2,333.3
- Full manual rework tasks
- 3,500
What to do with this result
Time both successful and failed cases in a pilot; require the same quality standard as the manual baseline.
Know what is inside the model.
Planning model, not personalized financial advice. Your inputs remain in your browser.
Calculation method
Hours saved = adopted tasks × [manual minutes − review minutes − failure share × manual minutes] / 60. Net time-value benefit = hours saved × loaded hourly cost − annual AI cost.
Assumptions and limitations
- Example inputs are editable scenarios, not Aryo results or independently verified industry benchmarks.
- Time value is not guaranteed payroll savings. Include adoption, human review, exceptions, security and change management in implementation decisions.