One large use case is certainly data analysis. But one big challenge with analytics is: you always get a result.

Wrong filter, wrong aggregation function, wrong table or wrong join can all still result in plausible but wrong results.

Hallucinations take the form of arbitrary logic.

Disclaimer: I'm a cofounder at getdot.ai. We are starting to solve that with a semantic layer, but for now it is limited to business reporting (sales per territory, etc.). PowerBI will imo make it even easier for people to create visuals (NL vs drag n drop), but right now fails at the consistency part.