The hardest part is ensuring that shared context is maintained and it converges on a representation of reality and the people in the company.
New knowledge additions are proposed when agents decide it would be relevant to retain, humans confirm/deny or create wiki modifications themselves.
Agents at the edge of business where they can work independently, asynchronously, is an approach that I don't feel was explored enough in business environments.
Sending your entire communication and documents to OpenAI would be a very bold choice.
I do believe that LLMs and AI provide actual value, but the "workspace" is usually the passive aggressive CYA battleground for employees to appear productive in-spite of leadership's blind-spots, ossified business practices, and "aligned" decision-making that doesn't actually fix a broken org. Maybe this release will be the one that finally challenges nepo-hires, not-invented here, and all of the other corpo crap that defines "enterprise" business.
With this said, you can use your incorrect AI answers to find and then purge or repair this old and/or poorly written documentation and improve the output.
The main remaining part is the poor docx / pdf / final output but will create a skill/workflow to get around that.
Worked really well end-end!
How many more are thinking “am I next?”
(I built https://nelly.is as a solo founder without funding)
I'm so tired of seeing these companies trivializing other people's work! Nobody's job is "edit files" and "respond to messages"! People have jobs like "find and close leads" and "reconcile accounts" and "arrange student field trips" and "make sure the hospital has enough inventory", not "generate reports" and "write code".
Editing files, producing reports, even writing code is just a byproduct. This is like the idiotic "lines of code produced" metric, but now they apply it to all of society.