Short answer: In the demo, Jim Olsen shows ModelOp agents reading uploaded documentation, filling a use-case form and flagging EU AI Act violations, which he says can take months in some organizations, with a human kept in the loop.
Watch this answer from Episode 55 (starts at 9:18) · Episode 55 notes and transcript
From Episode 55: Every Client Is Fortune 500. What Do They Know About AI That You Don’t?, starting at 9:18.
Jim Olsen [9:18]: And we make it really easy to bring them into our system. For the demo's sake, we're just gonna bring in one today. We're gonna bring in a health care adviser chatbot that's written in Foundry. And for the demo's first perspective, we're gonna add a little tag on there, if I can type correctly today. There we go. And then it's this easy to bring into our inventory. So we're gonna do that, bring it into the system. And when we do that, that life cycle is actually gonna start. It's gonna start driving the process, moving it forward, helping us get it out there. So now it's telling us within the inventory, when we go back and look at it, and we look at our implementation, we're gonna see that Microsoft Foundry health care chatbot, and it's using GPT-5 mini, so it brought both in automatically into our system and bringing that. And you can see it's telling us we gotta upload some documents. So we'll go ahead and actually add the documentation to that. And then when we do that, if we can just add our use case, so we've got our use case form. This is just written plain English. And we get it in there.
Jim Olsen [10:22]: And then we go back to there and go ahead and approve and say, yes, we've added the documentation. Actually, approve that on that. Completed. There we go. See, it detected the fact that we actually uploaded the document. So now in the background, what's actually happening is it's going out and reading that document using our agents. We have a full agent workforce behind here that is implemented use... Utilizing MCP tools, a contextual database to actually store information about what's our... In our inventory, etcetera, so that we have all that information at hand. By doing this, we're going to rapidly accelerate the process. What it's going to do is this chatbot here, if I actually close it, has a full form that actually needs to be filled out. So you can see here where right now we don't have any of the form information. Well, the agent has actually just completed its work on that. So let me, sorry, close that down. You can see now that we actually go now.
Jim Olsen [11:27]: We've used the agent chatbot to do that. And you'll see now where it's actually filled out a Confuser configurable form with all the information for us, where it's going to be used, all of that kind of information done for us by the agents. So we're accelerating the process of getting this out here. And, we can actually go ahead and move it forward. And when we do that, now it's gonna take those form submissions that were automatically there and go out and continue the process forward. And we're gonna see now where there's compliance violations, like we're comparing against the EU AI act and telling us what we need to do. So we can actually drive these processes and make it go forward, and I'm gonna end there so we don't have to go through all the form submissions, etcetera, and that kind of things. But I think you get the flavor where we're trying to make it so you can be compliant with all these regulations, all these things you have to do, your internal policies, etcetera, but making it painless. You know? That we just walked through what would take, honestly, months worth of work in some organizations to pull that together, and we can do it...
Jim Olsen [12:29]: Accelerate that into minutes.
Sam Nadler [12:32]: Using AI to use AI, maybe.
Jim Olsen [12:34]: Correct. Yeah. Helping to accelerate. Keep human in the loop still, but yes.
