Capital One engineers put customers first to accelerate AI innovation
Engineers embed with customers to build AI that actually solves real problems.
Capital One adopts 'customer-back engineering' to close the digital value gap, where McKinsey says organizations capture less than one-third of the value expected from digital investments. Engineers participate in empathy sessions, ride-alongs, and hackathons to observe customer friction and identify needs. Capital One used customer insights to build Chat Concierge, a multi-agent AI framework that compares vehicles and schedules test drives for car buyers. By combining rich data ecosystems with agentic tools, the company moves from incremental fixes to high-velocity transformation.
- Engineers participate in digital empathy sessions, embedded support, and ride-alongs to observe customer friction directly.
- Capital One's Chat Concierge uses a multi-agent AI framework to compare vehicles, schedule test drives, and handle multi-step car-buying tasks.
- Combining rich data ecosystems with agentic AI tools accelerates innovation cycles from incremental fixes to high-velocity transformation.
Why It Matters
Customer-centric engineering can triple digital ROI and unlock faster, more relevant AI solutions for enterprises.