Designing an AI-Native Design Organization

Most organizations are experimenting with AI by asking designers to adopt new tools. But what if that's the wrong starting point?

This session shares the story of how Devin and his team stopped treating AI as a productivity tool and instead redesigned the way design work happens at scale. By embedding AI throughout the design lifecycle — from discovery and research synthesis to critiques, documentation, and decision-making — his team reduced the design process by 50%, cut discovery from two weeks to just two days, and nearly doubled project throughput.

But the real transformation wasn't the efficiency gains. It was how those productivity gains were leveraged as investment capital to drive greater scale. Rather than simply delivering the same work faster, that capacity was reinvested into solving more complex problems, cutting down product UX debt, increasing strategic influence, and expanding the impact of design across the business.

This session explores what changed, what didn't, the unexpected challenges his team encountered, and the leadership decisions required to build an AI-native design organization.