I believe the killer feature would be sensible embedding tools with respective functions that support generating facts about internal data.

You generally cannot just push your data tables with millions of entries to your AI, but you can reduce them to statements that the AI then can work with.

It would be quite nice for training if a company can embed their product catalogue or their process instructions. Or technical data and common faults for customer support.

Also production monitoring would benefit from AI, but you also need to reduce the large amount of data into congestible statements. Usually the same work you do when you build some kind of dashboard.

In most cases that would mean you either run an AI locally, which I would heavily prefer, or you serialize the result of said embeddings and have them be used with your cloud AI of choice.