Michael UngarCEO of the Industry 4.0 Club

Revolutionizing Business: GPT for Enhanced Employee Support

9 Jun 2025 · 2 min

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1:46

In this monologue, the speaker proposes deploying an enterprise‑localized version of GPT that is fed with a company’s policies, procedures, service records, and other large knowledge bases. The model would be securely hosted on‑premise, ensuring no data leaves the organization. Employees could query the system with a description of an incident or issue and receive a response that is compliant with internal policies and tailored to the specific context. The speaker highlights the advantage of conversational retrieval over traditional keyword search, which often returns multiple fragmented results. Use cases mentioned include manufacturing, customer service, and any business environment where quick, accurate guidance is needed. The overall claim is that such a system would dramatically simplify access to complex corporate knowledge, improve response times, and reduce the effort required to locate the correct procedural information.

Chapters

So my thought was, hey, if this was mature enough, and I had the, you know, the full protection of enterprise version where it's localized to what I'm doing and nothing gets shared, it'd be interesting to be able to push all those policies and procedures into a GPT and then have it available to all employees. So if there's any issue, there's any incident of any kind, they can go in and say, hey, here's the incident, here's the issue. what am I supposed to do? And then have that GPT respond back with it according to policy, blah, blah, blah, and this procedure, here's what you're supposed to do. That could be pretty powerful, I think, and enable easy access to things that are normally not that accessible to any employee in a company. And that could be any— I mean, I'm talking about policies and procedures, but it could be any type of knowledge database of some sort that are, you know, complex, big. And, and instead of having to search for something and, and look at 10 different, uh, uh, instances where it finds something similar to your search and then find the right one, just have a conversation with the ChatGPT and it gives you the response back. That could be pretty interesting, uh, in manufacturing, uh, or in any, any environment, so to speak, any business, so to speak. Could be very interesting to have that. And I think we talked about those knowledge bases could be anything, right? You know, all my service records, all my interaction with customers, if they're recorded in some kind of system, having something that actually kind of categorizes all that stuff to be able to give me quick responses to a specific scenario.