Record the starting point
Before a pilot, capture the practical baseline relevant to the chosen workflow. That might be handling time, response time, approval rate, intervention rate, failure rate, or volume.
Keep the measure close to the work
A broad productivity story obscures what changed. Choose a small set of measures that the team can understand and inspect alongside the workflow.
Make the decision explicit
At the end of the pilot, review the evidence together. Stopping is a valid result when the value is not sufficient; continuation should be earned, not assumed.
Worked example: a weekly operating brief
Record time spent collecting inputs, resolving discrepancies, preparing the brief, and reviewing it. During the pilot, record those same stages. Compare equivalent reporting periods and note unusual workload changes rather than attributing every difference to AI.
A measurement worksheet
For each run, capture workflow volume, input completeness, preparation minutes, review minutes, corrections, unresolved exceptions, and whether the owner accepted the output. Keep sensitive source content in its approved system; the worksheet needs measurements, not copies of customer records.
Interpret the trade-off
Less preparation time can be offset by more checking. Review total human time alongside accuracy and completion. Describe small or inconsistent samples as preliminary evidence and decide what further observation would justify continuing.
Put the guide into practice
Explore an operating-reporting pilot, or explore the workflow pilot examples to find a scope your team can assess.