So walk us through your journey with AI internally, how you thought about it, how you used it, and then how you thought about bringing it to your clients.

So I come from a finance background, so I'm not a tech guy myself, but I've been always extremely interested into using AI not only technology, but I may say science in its broad sense of term into investment, into finance.

So even in my days as a portfolio manager, And when I used to run the family office previous to launch Nextgate, we were running a lot of quantitative strategy.

So like machine learning and NDI have been part of my reading of what finance should be since the very, very beginning.

So Nexgate, when we decided that we could have bring a bit of that mindset and methodology into the back office and the operation since day one, implemented machine learning methodologies and in any case, you know, an approach which is more I may say, advanced than what was the norm back then.

It is way, way more the norm now, of course.

So if I take the example of ingestion of data and harmonization of data, so prior LLM, of course, it was a lot of NLP and it was a lot of technology that were not always very reliable in terms of extracting and structuring data.

The benefits, obviously, are why? Because we're saving time here so they can start to now calculate ROI, which is really where the industry is going from usage to, okay, where's the ROI?

Let's just ask them the question, and they'll come back with the answer." And I think a lot of us have used the tools know that that's, uh, uh, it's i- inconsistent at best if you try to get it to do that.

Yes.

Yes, you, you're right.

Like the, um, on top, in within, you know, like really having the ability of using LLM, creating agent, interacting with tool skills and, and being able to govern them in a way that allow us to be extremely flexible in work- workflow's creation.

And I, I, w- we can give you a very, very concrete example of that, where agents are good and where we would then, you know, leverage a non-deterministic workflow and Nexgate platform.

And this is why today we, we position ourself as we are the ecosystem of agentic automation in investment operation.

It's because what we provide is really this environment to enable the use of LLM and, and agent with the entire, uh, guardrail and, and, you know, tools that needs to be ingested and used and leveraged by agents to perform this in, in a way that you can trust.

Perhaps you can describe a bit about how that works at, at that level.