When you're dealing with companies in the financial sector, these companies who are heavily regulated, who have a lot of compliance concerns, who are thinking every day about how am I protecting my data, how am I protecting my systems, how am I protecting my customers, how am I protecting my bottom line? What are they thinking about when they want to apply AI with competence? And more importantly, what are the first principles that they can look to act on to make sure that when they're doing that, they're doing it in the right way?

Good question.

Chris, what I'll start by saying is this is the right question.

Because what I challenge is questions like how can we apply AI with confidence? It is usually heard in a different way.

Mostly people hear that is AI good enough yet, right? And that's a model question.

That's in regulated environments, model is really a bottleneck.

So I would start with three principles.

What are the organizations that will successfully scale AI? How will they get out of that pilot, like, purgatory? How will they get to production?