James Reggio

speaker

667 appearances 1 recordings 1 series first heard Jan 2026 last heard 17 Jan

James Reggio’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jan 2026 with 1.

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Latent Space: The AI Engineer Podcast · Brex’s AI Hail Mary — With CTO James Reggio · 17 Jan 2026 podcast

So one of the things that I was trying to do at the beginning of the year, uh, as CTO, you know, I think it really fell to me to articulate what our AI strategy was as a business.

You know, every every board of director was, you know, or every m every member of our board is like, Hey, what's your AI strategy?

And while we were doing a lot of doodings, we could really go, he's got it.

Well, yeah, I know.

Uh yeah, and and if I didn't I uh I'd be in trouble.

I think I also was counting on me given that I was doing the AI uh organization before CTO to to have but but a big part of it was like we we were doing a lot with with LLMs.

Um it was more like these little one-off features and you know, hey, like maybe mix in some suggestions here or maybe do a little bit of ops automation over here.

But it wasn't um it wasn't

easy to to kind of create like a verbal framework uh um of all of these investments and without that framework then we weren't able to like set uh set a a a vision or a roadmap for for investments.

So what we did at the beginning of the year is we took everything that was going on as well as all of our ambitions, all of the good ideas, as well as like the problems we were trying to tackle as a business this year, throw it all on the table and see if there were some ways to cluster it into a a framework that made sense.

To the business, to our board, uh, to ourselves.

And we came up with I I think this is not particularly novel, but has helped us quite a bit.

We have like three pillars to our AI strategy.

We have our corporate AI strategy, which is how are we going to adopt um like buy AI tooling um across the business and basically every single function to be able to 10x uh our workflows.

And we have our operational AI strategy.

which is how are you going to buy and build uh solutions that enable us to lower our cost of operations as a financial institution?

Because I think it it's fairly intuitive, like

Financial institutions like ours face a lot of regulatory expectations and it's just like a high ops burden for running our business.

So it's sort of like a lot of kind of internal use cases like being able to do like fraud detection, underwriting, KYC, um, be able to handle dispute automation on car transactions.

Those those types of operational investments are our ops AI pillar.

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