The safest way to introduce AI into support is to treat every automated answer as the result of a small, reviewable process rather than as free-form conversation.
This article applies that discipline to evaluation. The practical goal is: Assess knowledge control, testing, boundaries, handoff, operating ownership, and fit for the merchant workflow. The same method is useful whether the first implementation is a spreadsheet, an internal tool, or an AI-assisted support product.
Define the support contract first
Start by turning evaluation into a contract that a merchant, support lead, and developer can all inspect. Name the customer question being handled, the facts required to answer it, the conditions that modify the answer, and the point where information alone is not enough. Assess knowledge control, testing, boundaries, handoff, operating ownership, and fit for the merchant workflow.
The contract should distinguish an informational reply from an operational resolution. An assistant may be able to explain a store policy while still being unable to approve an exception, change an order, or make a judgment about an unusual case. Keeping that distinction visible prevents a fluent reply from being mistaken for completed support work.
