Evaluation
How to evaluate an AI workflow tool
A polished demo is not proof of fit. Evaluate a workflow tool against one representative process, its real constraints, and the people responsible for the result.
Test one complete scenario
Use realistic inputs, including incomplete and ambiguous cases. Ask the tool to show what it used, what it changed, and where the final result is recorded. Do not use live confidential data merely to speed up a trial.
Questions worth answering
- Can you define clear approval and stop points?
- Can a person understand and correct the output?
- Can the team export records, logs and configuration?
- What happens when a connected service fails?
- Does the tool use only the permissions it needs?
- Can the workflow be tested before it affects production work?
Evaluate maintenance, not just launch
Someone must own changes to prompts, rules, integrations and access. Plan for that owner before rollout. If nobody can explain the workflow after its builder leaves, it is not operationally ready.
Decision rule: select the smallest tool that meets the actual workflow need and leaves a clear audit trail. More features do not automatically mean more control.
Use this guide together with a workflow map and an explicit human-review policy.