How to build an AI-Native Health Company
Most healthcare technology companies were built for a different era. Transitioning to an AI-native organization isn't just about adopting new tools — it requires rethinking culture, processes, and how teams work at every level. This talk draws on firsthand experience leading that transformation at a digital health company. We'll cover what it takes to foster an AI-first culture across departments, and go deep on the engineering side: adopting AI-assisted development practices, building shared AI infrastructure, and evolving the product development process to unlock 2–3x productivity gains. We'll also tackle the harder, less-discussed challenge — the mindset shift required to operate effectively in a domain that's changing faster than any playbook can keep up with. Whether you're just starting this journey or already mid-transition, you'll walk away with concrete lessons on what works, what doesn't, and how to build an organization that compounds on AI rather than just experiments with it.
About the AI in Healthcare Track
AI in Healthcare sessions at AI Engineer World's Fair 2026 in San Francisco.
When
Thursday, July 2, 2026
2:50 PM - 3:10 PM·20m
Where
Track 7 · Room 2024
Capacity: 250 attendees
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Speaker
Dan Feng
Maven Clinic
Dan Feng is Senior Director of Engineering at Maven Clinic, leading AI Platform and Core Member Experience. He oversees the company’s AI infrastructure and member-facing systems, helping teams build production AI applications across healthcare experiences. His work focuses on AI agents, LLM platforms, personalization, and scalable generative AI architectures. At Maven, he leads the company-wide AI initiative, driving adoption of AI across products, operations, and care delivery.