For those few who do write competent documentation and have well-organized file systems and the risk tolerance to allow LLMs to run roughshod over data, sure, there’s some potential here. Though if you’re already that far in, you’d likely be better off farming that grunt work to a Junior as a learning exercise than an LLM, especially since you’ll have to cleanup the output anyhow.
With the limited context windows of LLMs, you can never truly get this sort of concept to “stick” like you can with a human, and if you’re training an agent for this specific task anyway, you’re effectively locking yourself to that specific LLM in perpetuity rather than a replaceable or promotable worker.
Just…it makes me giggle, how optimistic they are that stars would align at scale like that in an organization.