What to test before letting an AI agent handle real work

Test the behaviour you are buying

A polished demonstration is not an acceptance test. Define the inputs, expected output and permitted action for a specific workflow. A customer brief generator, for example, should preserve missing information and produce a draft, not silently create a booking.

Build a practical test set

Include a normal request, missing fields, contradictory dates, a duplicate event, an unreadable attachment and an instruction inside customer text asking the assistant to ignore its rules. Give each example an expected response. Use synthetic or approved sample data and keep a named business reviewer.

Check the destination as well as the draft

Verify where the result was saved, who can see it and whether a second run duplicates work. Test a disconnected tool and an unavailable reviewer. Microsoft documents flow troubleshooting, but your acceptance criteria must reflect the business process. Do not equate a successful technical run with a correct business outcome.

Microsoft documents trigger and execution troubleshooting for cloud flows. Microsoft: troubleshooting flow errors

Write a release decision

Record passed cases, failed cases and the allowed launch scope. Count testing, corrections and staff handover in the setup quote. Monitor error handling and review effort during a limited pilot before expanding. Exovara can help define these checks so the purchase is tied to observable behaviour, with clear responsibilities for future changes.

Discuss an implementation

This guide applies across Canada. We provide remote AI consulting for businesses in Toronto; it does not describe a local client or a staffed office.

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