Start with the work, not the tool
Choose one recurring workflow with a clear beginning and a useful finished result. Examples include preparing a weekly report, classifying incoming inquiries or drafting a content brief. Count the task volume and observe how much active human time a representative sample takes today.
Define what good work looks like before the pilot. Speed is not a success if the output needs extensive correction or reaches the wrong destination. Keep quality, response delay and business outcomes beside the time measurements.
Estimate net capacity released
Enter your values or load the clearly fictional example. Calculations stay in this browser.
Count the work that remains
In the assisted workflow, record active handling, human review and rework separately. Include exceptions and failed attempts in the sample. Do not count idle machine time as human labor saved, and do not count the same review minutes twice.
The calculator compares the entered manual minutes with active handling plus review plus rework. If the assisted process takes longer, it should show negative released capacity. That result may be a reason to redesign the workflow or stop the pilot.
Put a value on capacity carefully
Multiplying released hours by a loaded hourly cost gives a modeled capacity value. It is not automatically cash savings. A business may use the time to handle more work, improve service or avoid a real future cost; the value depends on what actually changes.
Enter recurring software costs and the setup cost separately. Keep speculative revenue improvements outside this simple model. If faster follow-up appears to improve sales, measure that outcome with an appropriate comparison rather than silently adding it to labor savings.
A fictional pilot example
Suppose 100 monthly tasks take 30 minutes each manually. The assisted process needs 10 active minutes, five review minutes and three rework minutes per task. That releases 20 hours a month. At $50 per hour, the modeled capacity value is $1,000. After $200 in monthly software, it is $800 before setup.
A $1,000 setup cost would take 1.25 months to recover in that capacity-value model, assuming the inputs remain stable. The first-year modeled value after software and setup is $8,600. This is not a promise of cash payback. Record what happened to quality, exceptions and the released time before calling the pilot successful.
Make a continue, improve or stop decision
Agree on the pilot’s observation window and decision criteria. Review the distribution of task times, not only an average. Check whether a few expensive exceptions are hiding behind quick routine cases.
Use the downloadable scorecard to keep the baseline, assisted results, costs and quality observations together. For the broader relationship between automation and discovery, see AI visibility versus AI marketing systems.
Take the worksheet with you
Use the blank worksheet for your own review. Any completed examples are clearly labeled as fictional.