I don’t think we should ever put “implement LLMs/AI” as the goal. Process transformation should be defined in terms of user or business goals (reduce turnaround time, reduce costs, improve customer experience, …). In the course of doing that the places where LLMs have a use will be apparent, but more often something a lot less clever will be the better solution.

You’ll find LLMs need for precision prompts at odds with business concepts and requirements. You’ll struggle to unravel decades of process that is little understood in its entirety in order to build a workflow for it. This is the current state of Enterprise AI/ML.

Aren’t most traditional business processes entirely deterministic and better suited to traditional data processing methods?