The interface for most enterprise AI is not a research notebook. It is a case system, a portal, a dashboard, or an internal tool with roles and history.
That is why software engineering remains central. Identity, integration, and change control determine whether an intelligent feature can be released and supported.
Treat the model as one component in a product. The surrounding application decides who can see an output, what they can do with it, and how a mistake is corrected.
Teams that invest only in model quality and ignore the product around it often rediscover this after the first internal demo. The users were never going to work in the demo environment.