Capital One's tech team isn't just talking about multi-agentic AI. They already deployed one.

It's called chat concierge, and it's simplifying car shopping. Using self-reflection and layered

reasoning with live API checks, it doesn't just help buyers find a car they love. It helps schedule

a test drive, get pre-approved for financing,

and estimate trade and value. Advanced, intuitive, and deployed. That's how they stack.

That's technology at Capital One. How can governments use AI to become more efficient?

We'll dive into it in a fascinating conversation with the CTO of Booz Allen

and a former Amazon executive right after this. Welcome to Big Technology Podcast, a show for

cool-headed, nuanced conversation of the tech world and beyond. Today, we have a conversation

that I've been looking forward to for quite some time. We're going to talk a lot about how AI can be used to make the government more efficient and effective. And not only that,

not only the how it can be, but how it is being used today. Because today, we're joined by the

CTO of Booz Allen, Bill Vass. He is the man that is on the ground working on this. And he's

going to tell us what's going on inside the United States government, what the state of Doge is, and then everything else from robotics to quantum. It's going to be great. Bill, so great to see you again. Welcome to this year. Yeah, thanks for having me on. I'm excited to talk a little bit about what we're doing. Me too. So we're going to cover AI. We're going to cover Doge at the very beginning here.

But first, for those who don't know Booz out, excited to talk a little bit about what we're doing. Me too. So we're going to cover AI.

We're going to cover Doge at the very beginning here. But first, for those who don't know Booz Allen,

I'd love for you to tell us exactly what it does in about 60 seconds. My understanding is it's a government technology contractor and about 95% of Booz Allen's work or even more is connected to government work.

Yeah.

So Booz Allen used to be a business consulting company and they sold that off in 2008.

And now they have 22,000 engineers, about 3,000 AI, Gen A.

A.E.I. experts and about 8,600 cyber experts.

And primarily we do hardware and software, primarily for the government.

We have some commercial business as well, and that's starting to grow also.

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