An AI workflow is easier to evaluate when the task is bounded. Start with one repeated job, its inputs and the output a person would consider useful.
Define the input and output
Specify which documents and systems the workflow can access. Describe the expected output format and the information it must preserve.
Validate before acting
Check required fields and constraints before output reaches another system. Handle missing information and failed requests explicitly.
Put approval where it matters
Sensitive actions should have an explicit human checkpoint. The reviewer needs enough context to understand the proposal and approve or reject it.
Evaluate the whole workflow
Review representative inputs, failure cases and the user’s path through the result. A plausible model response alone does not verify the integration.