When this workflow helps
If you are searching for how to build an AI evaluation set for a business workflow, first decide who owns the result and where it will be used. A good draft saves preparation time only when the underlying facts are available and a person can inspect the output. This guide is for that specific deliverable; the AI Governance and ROI for Small Business hub collects adjacent tasks.
Gather the source material
Historical examples, verified expected outputs, edge cases, and common failure reports. Use the current approved version. Remove details that the team is not permitted to place in an AI tool, or use a workspace and access controls approved for that data. Keep a link to the original material so reviewers can trace the result.
Build the first draft
Sample ordinary and difficult cases, remove sensitive details where needed, and record the expected result and severity of each error. Start on one representative example, not the entire backlog. If a required fact is missing, ask for a marked gap rather than a plausible completion. Save the output as a draft with the source date and an assigned reviewer.
Starting prompt
Create a test matrix for this workflow: input type, expected result, source evidence, failure severity, and reviewer. Include missing-data and conflicting-data cases.
Replace the example input with your own approved documents and specify the output format your team actually uses. Ask for a short list of uncertainties alongside the draft. Keep the source and output together during review so a polished sentence does not hide a missing fact.
Review before use
Subject-matter reviewers validate expected answers and prevent test examples from being used to tune only for the score. Check names, dates, figures, citations, and commitments against the originals. If a consequential decision or external communication is involved, the designated human owner makes the final call and follows the normal approval path.
Measure whether it worked
Track Critical errors detected before rollout and coverage of known exceptions. Compare a small set of completed examples with the previous process. Record corrections, not only time saved; a faster draft that creates rework is not an improvement. Revise the prompt when the same error appears twice.
Next steps
Return to AI Governance and ROI for Small Business for related tasks, or use the AI business strategy pillar to decide where this workflow belongs in the wider business.