So given where we have now the capabilities to access this enterprise knowledge, how is it, what are the structures, what is the architectures, and how is it that we can bring that to the right person in the right way in the right time?

Yeah, I think historically, if you wanted to solve a complex problem, you needed years of experience or direct

access to specialists to get things done.

Nowadays, AI can make this expert level knowledge available exactly when we need it.

What do I mean by that? look into, for example, the topic of a legal advisory.

You get tons of NDAs, for example, in as a corporation.

Typically, this NDA in the workflow goes directly to your legal service department and they come back with feedback if the NDA is fine or you need changes there, what the next steps are.

That's very, very aligned with all of my work, this idea of judgment is human, judgment is critical, and let's not let it erode, but how can we refine and improve and fine-tune and amplify our judgment? So what does that look like in practice? How do we amplify the judgment of humans who are so central in these decision roles?