Define the task precisely
A useful starting point for an AI workflow is a bounded task: organize a set of notes, prepare an initial draft, or identify questions for review. ‘Improve decision-making’ is too broad to evaluate on its own.
Describe the input, the expected output, and the consequence of an error. A draft meeting summary and a recommendation that changes a contractual commitment require different levels of review.
Make the review part of the workflow
Decide in advance what a person must verify before the output is used. For a project report, that might include dates, quantities, source references, and whether the wording changes the meaning of a field observation.
Assign an accountable reviewer who understands the subject. A general instruction to ‘check the AI’ is not enough. The reviewer needs access to the original material and permission to reject or revise the output.
Evaluate the whole process
Time saved during drafting is only one part of the result. Include the time required to check, correct, and approve the work. Keep a small set of representative examples so the team can compare the assisted process with its existing approach.
Use approved information sources and follow the organization’s data-handling rules. Expand the task only when the team can explain the quality achieved, the review effort required, and the limits that remain.