What would an AI buyer pay to learn?

A dealer can export years of activity without knowing what a buyer would use it for. One question creates a sharper test: can an assistant tell whether a service time was requested or confirmed? That gives an AI team a specific decision to investigate.

Another buyer might need to know whether a system can distinguish available inventory from an outdated listing, or recognize when a service question needs a person. Each question calls for different records, expert judgment, and acceptance criteria.

Then ask whether a source can support the task and whether the proposed use can be permitted. If either answer is no, collecting more material is unlikely to resolve the problem.

A well-scoped pilot names the buyer task, source boundary, intended use, and acceptance criteria. The result may be a larger project, a narrower one, or a decision to stop. The useful outcome is evidence for the next decision.