An AI product is more than a model connected to a button. A usable product needs a clear user problem, an interface, reliable data flows, business logic, integrations, security, and a way to monitor what happens after launch.
The AI layer should serve the product rather than define it. Depending on the problem, that may mean retrieval, document intelligence, classification, agents, computer vision, or a combination of techniques.
The practical path is to build the smallest useful workflow first, validate it with real users, and then expand the product around the evidence gathered from actual usage.