How-to
How to test an AI workflow before publishing it.
Build a small test set that checks business results, permissions, and recovery—not just the wording of a reply.
A perfect demo usually follows the happy path. A useful release test also checks what happens when information is missing, someone says no, or a connected system cannot finish an action. Start with a workflow your team can judge from real records.
1. Define the expected outcome for each case.
For a booking change, record the original appointment, permitted alternatives, required confirmation, and expected saved result. Include a case where no alternative is available. The correct response there may be an explanation and a handoff.
Use a safe test environment or approved sample records for actions that change data. Make sure the test cannot accidentally send customer messages or alter live bookings.
2. Include the boundaries.
Test an unauthorized employee, a customer whose details do not match, a request outside policy, and a material change after approval. These cases reveal whether the workflow respects its configured limits.
Check the output for unintended disclosure too. A refusal should not reveal the confidential information that caused it. A public message should not contain internal notes.
3. Simulate an incomplete action.
Consider a quote that saves but cannot be emailed, or a booking slot that disappears before confirmation. The result should identify the completed and incomplete steps rather than report blanket success.
When retrying an action, verify that the integration avoids duplicate effects. The team should know whether a retry checks an existing result or attempts a new change.
4. Make the release decision explicit.
Record which cases passed, which remain outside scope, and who owns the workflow after publication. A known limitation may be acceptable if the experience explains it and routes the work appropriately.
Repeat the relevant tests when instructions, permissions, or connected actions change. Finn’s test-before-publish experience should serve a business decision: whether this specific workflow is ready for the people who will use it.