Daniel Chilcott

And so we started this pretty early on, not long after ChatGPT had made it big.

So going back about three years now.

And we realized that by letting an AI know about the context of the workflow that a user was operating in, it could give all sorts of helpful information, helping them troubleshoot or understand next steps and so on.

So we've been through many iterations of it, but in the latest version of our platform, it's full-blown agentic AI, spin up a workflow from a prompt.

And one of the more kind of novel developments around AI is this notion of verifiability where

If you can have a tool that allows it to test its work, in some senses, it can just carry on until the goal has been reached.

And so that's what we've applied in our platform.

So not only is it able to compose integrations on the fly, but it can actually test the result of those and then kind of course correct if there's a problem.

So I think that's very powerful because you don't, as a new user, you don't need to understand our platform's way of thinking about integrations.

You don't need to understand even the mechanics of the UI.

You don't need to know what connectors are available.

You can go from zero to one very quickly by just expressing your requirement in English.

And so to kind of circle back to your question,

The way that I think this is transforming how businesses approach integration is it makes it much more accessible.

You need almost no domain knowledge to be able to create an integration.

It's bridged that gap.

Well, it's a strong validation of where Flowgear is in its growth journey.

IAMCP is deeply connected to the Microsoft Partner ecosystem.

So being named Partner of the Year, it says that our platform isn't just technically mature, but it's commercially relevant and partner-ready too.

And I think it also highlights our Microsoft alignment.