Get the latest tech news
How Capital One built production multi-agent AI workflows to power enterprise use cases
With over 100 million customers, Capital One's agentic system is built for scale and complexity.
In this VB Transform session, Milind Naphade, SVP, technology, of AI Foundations at Capital One, offered best practices and lessons learned from real-world experiments and applications for deploying and scaling an agentic workflow. Capital One, committed to staying at the forefront of emerging technologies, recently launched a production-grade, state-of-the-art multi-agent AI system to enhance the car-buying experience. These two factors made the design process especially complex, requiring a holistic view of the entire journey — including how both customers and human agents respond, react, and reason at every step.
Or read this on Venture Beat