Comment by TeMPOraL

LLMs aren't a database. They're an attempt at brute-forcing an artificial mind. The who and what aren't really interesting there, it'll forget most of such details anyway. What matters is the patterns visible in the text at various scales. How people write. Why they write. To whom they write, in response to what. How does e-mails about mistakes correlate with PDFs they're referring to. How people work with ticketing systems - like how, actually, a ticket plays out. The jargon, the acronyms, the vibes, the causal links. It's all in there, and it's another slice through the set of things humans do, to be combined with other slices already in the training data, and enriching the whole.

(Something something we will add your distinctiveness to our own, you will be assimilated, ...)

(Hell, the fact that it's all from one org would make it a great dataset to have in the open for sociological studies. I bet that today, aided by LLMs to sift through it, you could use it to map how information flows through a large org - how incident on the floor travels through time and layers of management until it reaches the C-suite, what of it survives, how it gets reacted to, how the reactions flow down...)