AI agents are making real financial decisions: Nvidia’s Kevin Levitt on the infrastructure behind Capital One, Visa, and RBC’s live deployments
- Agentic AI has moved into live production at Capital One, Visa, and RBC, with multi-agent systems autonomously executing trades and managing customer interactions.
- Nvidia's Kevin Levitt explains the infrastructure demands and build-versus-buy decisions as banks deploy AI agents handling real transactions.
We’ve been covering AI in financial services for a while now—chatbots, generative AI, fraud detection models. But something fundamental is shifting. We’re moving beyond AI as a tool that assists humans to AI as an actor that takes action on our behalf.
Agentic AI is no longer a research project. It’s live. Capital One has AI agents helping consumers buy cars. Visa is letting AI agents spend your money. RBC has agents executing trades, learning and adapting in real-time to market conditions.
It’s already here. The question is: what does it take to make this work at scale? What infrastructure do you need when an AI agent is handling real financial transactions at 2 AM? How do you architect for reliability when there’s no human in the loop?
My guest today is Kevin Levitt, who leads global business development for financial services at Nvidia. Before Nvidia, Kevin spent years inside fintechs like Credit Karma and Roostify. At Nvidia, he’s working with firms like Capital One, Visa, and RBC as they deploy agentic AI in production—not pilot programs, actual live systems processing real transactions.
We’re digging into the case studies, the computational demands of multi-agent systems, the security challenges when agents control money, and what financial institutions need to think about now.
NVIDIA’s Kevin Levitt is my guest today on the podcast.
Watch the episode
Listen to the episode
Subscribe: Apple Podcasts I SoundCloud I Spotify
Read the whole transcript (for TS Pro subscribers)
The shift from assistive AI to agentic AI
…
