How AI Agents Identify and Recommend AEC Best Practices Across Teams

I mentioned earlier that we created studio workspaces in part to respond to the diverse ways our teams work. That is absolutely true. But when we originally formulated the idea, we also hoped that it would help surface some areas where we could standardize firmwide. So this firmwide best practice codifier agent looks across how different studios are working. With the grounding knowledge being our studio communities. And instead of forcing a top-down standard, it shows what's happening, where there's alignment and where there isn't. And then it recommends best practices based on that. And what I liked about this is that it grounds standardization in reality. It's not something that's theoretical. It's based on how people are actually working. And going back to that idea of starting from scratch versus starting from a draft, it is so much easier to get everyone on the same page when you have something like this drafted that says, hey, we took into account how each of you are doing this. How about we all do it this way, rather than starting from a theoretical conversation that you know, so often leads to a lot of circling around progress. So the takeaway here is knowledge contribution only scales when retrieval is easy and valuable. If it's hard to access, people won't use it. And if people don't use it, they probably are not going to contribute to it.