Every instance was some variation of RAG chat/langgraph thing. On multiple occasions, I heard "I don't see what value this has over ChatGPT", except they now had 5-6 figure cloud bills with it.
Technical users really weren't thrilled with it (i.e they wanted usable insights from their data (something best served by a db query), but ended up with LLM copypasta of internal docs) and seemed to expect significant functionality and utility on top of "regular" LLM use.
Stakeholders constantly complained (rightfully so) about issues with inaccuracy in responses, or "why is this presented in this fashion", resulting in hours of the data team folks coming up with new prompts and crossing fingers.