What could automating one workflow save you?
Model a transparent range for capacity a repetitive task might release. This is a scenario, not a forecast: every coefficient, limitation, and editable assumption is shown beside the result.
Use a value from 0 to 500.
Use a value from 0 to 60.
Example only: wage plus employer taxes, benefits, and overhead you can document.
Starts at 46: 52 calendar weeks minus 6 for leave and holidays. Change it to fit.
Planning scenario, not promised savings.
The range applies observed 12% to 40% time/capacity effects to your inputs. The studies covered specific support and writing tasks, not your workflow; a $0 result is possible.
Dollar values assume reclaimed time can actually be redeployed at the loaded hourly cost. They are not cash savings, revenue, or a guarantee.
Assumptions and dated sources
Nothing here is unlocked by an email. The task choice labels your scenario; it does not change the range because these studies do not support separate automation percentages for each category.
- Lower anchor: Brynjolfsson, Li & Raymond, Generative AI at Work (November 2023): 14% more issues resolved per hour across 5,179 support agents; converted here to about 12% less time at the same output.
- Upper anchor: Noy & Zhang, Science 381(6654) (July 2023): 40% less completion time across 453 professionals doing bounded writing tasks.
- Time basis: 46 working weeks is your editable input; the 46 week starting value is arithmetic (52 minus 6), not a workforce benchmark.
Want a copy of the scenario and a practical next step?
The assumptions and sources are already above. No email required. If you want, I'll send the scenario and the first workflow question I'd investigate. A few short messages after that; one click unsubscribes.
Prefer to just talk? Book a free call.