... or throughout these 18 months?"

Super simple example.

Every month, our AI team, or sorry, our analytics team reconciles our HR data with the finance team's data to try-- Like every org-- How many people do you employ is like, and everyone goes, "Oh, it's quite difficult." And e- and every organization then tries to reconcile between what finance think and what HR think.

And it-- We've got a system, they've got a system.

The systems are connected but not connected, like fairly standard stuff.

We can now reconcile that data in 10 minutes every month.

It u-used to take an analyst a week, and so that is an agent that we built that looks at, uh, Workday data and looks at the economy data, which is our finance system, and goes, "Here's where the differences are.

And when you say you build them yourself, you mean the HR team builds them, the, them, not-- Or do you have engineers working on your team, or how do you build them?

So here's a clip from Andy now.

This actually was an ad that was in the Farmers Journal in, I think, 1974.

And there was an ad for a complete engine overhaul on a Massey Ferguson 135, which was to a fair degree the workhorse of the day.

Even at that stage, it was kind of becoming the smaller end, but it was very definitely the workhorse of the day, small and all as it was.

But that engine overhaul was priced at €280 to include pistons, rings, cylinder lighters, big end shells, an oil pump, valves and guides, gaskets and seals.

And the same refurbishment on a 165 was €435.

Hours converted, that is.

But as well as that, there was a portion of obviously just inflation and where we're at now, but even, even in this decade and the last decade, everything has just kind of moved up over time.

Yeah

... what we've tried to do is to say we've got really three types of agent that we build, like no code, low code, and pro code.

And, you know, how we build the pro code agents that handle some of our really b- big tasks is fundamentally different to how I might create a no code agent, and you can spin those up in 30 or 40 minutes.

And, and we don't wanna lose the innovation.

What we have learned as we stood those kind of three work streams up in the Agent Factory is agents move between no to low code or up to pro code, and then equally they move down because sometimes you think, "Oh, this is a really complex build, and it's gonna be really difficult." And actually when you get into it, you go, "Oh, it's not.

It's actually much easier to do," and we'll push that to the team that may be doing some of the lower code work.

And so this is a journey for us all.

... diversity of usage that causes you to be able to solve real problems that add up to, from what I understand, meaningful time saved.

Yeah

... what we've tried to do is to say we've got really three types of agent that we build, like no code, low code, and pro code.

And, you know, how we build the pro code agents that handle some of our really b- big tasks is fundamentally different to how I might create a no code agent, and you can spin those up in 30 or 40 minutes.

And, and we don't wanna lose the innovation.

What we have learned as we stood those kind of three work streams up in the Agent Factory is agents move between no to low code or up to pro code, and then equally they move down because sometimes you think, "Oh, this is a really complex build, and it's gonna be really difficult." And actually when you get into it, you go, "Oh, it's not.

It's actually much easier to do," and we'll push that to the team that may be doing some of the lower code work.

And so this is a journey for us all.

... diversity of usage that causes you to be able to solve real problems that add up to, from what I understand, meaningful time saved.

Maybe-

I think the other thing that I've learned with, with this is-The, the, the tooling that, that now exists has democratized technology in a way that I can't imagine happening a few years ago.

So I can now build really quite complex agents myself.

I can't code.

I, I make no pretense about my ability to code.

As soon as you talk, talk... start talking about Python, I kind of glaze over and, um, I get a bit lost.

But I can build really quite complex agents now without any technical background, and I think that is a really interesting evolution for us all.

Yeah.