Test a workflow before automating it.
A convincing demonstration is the beginning of a test. The next question is whether the workflow produces useful results across the cases your business actually sees, at an acceptable cost and level of risk.
Create a small evaluation set, run a supervised pilot, and make an evidence-based rollout decision.
Define success before running the test.
Choose a business outcome and a quality standard. A summary must include the material requirements; a record match must identify the correct item; a reply must use the current policy. Decide what counts as a failure before seeing the results.
Record total effort, including preparation and review. A workflow that drafts instantly but needs extensive correction may be less useful than the current method.
Include the cases that might break it.
Collect representative examples with permission to use them. Include incomplete inputs, conflicting records, unusual requests, and cases where the correct response is to ask for help. A small sample is useful for exploration, but cannot establish the rare failure rate.
Keep some examples aside while improving the instructions. Otherwise you may teach the workflow the test cases without learning how well it handles new ones.
Separate reading, drafting, and acting.
Evaluate each capability separately. Correctly summarizing an invoice does not prove a system should approve payment. Correctly drafting a reply does not prove it should send it.
Begin with a comparison beside the existing process. Keep a person accountable for review. Specify the actions allowed, the cases that require escalation, and the recovery path if something goes wrong.
- Correct and complete output
- Visible unknowns and exceptions
- Preparation plus review time
- Operating cost
- Unauthorized actions or incorrect commitments
- A working way to stop and recover
Investigate failures and preserve the evidence.
For each failure, save the input, output, correction, and likely cause. Improve the source quality, context, instructions, or workflow as appropriate. Test changes against both the failed cases and the examples held aside.
Agree on the rollout decision with the person responsible for the work: expand the supervised pilot, revise it, or stop. Keep monitoring after launch because inputs, policies, and models can change.
Example: test an inquiry-to-brief workflow
The scorecard supports a decision; the model should not grade itself as the sole judge.
Replace the bracketed fields before using this with AI.
Try it in your business.
- Write your acceptance criteria before testing.
- Add a difficult case and a case that needs escalation.
- Use the pilot scorecard and include the time spent reviewing.
- Keep a record of failures and make one concrete rollout decision.