
From Experimentation to Infrastructure: Leading with Intention in an AI-Enabled Organization
Speaker: Steve Whitby
Leading a large organization today means making decisions in an environment that is changing faster than most governance models were designed for. When it comes to AI, the most difficult questions are rarely technical. They tend to surface in everyday moments of judgment, responsibility, and trust—often inside decisions that don’t look like “technology work” at all.
For large, member-based nonprofits, that quiet shift raises important leadership questions. How do you treat AI as a real organizational capability rather than a collection of tools? How do you use data at scale while preserving trust? And how do you help teams across generations make good judgments in moments where technology and human responsibility intersect?
This keynote looks at what it takes to move from informal experimentation to intentional infrastructure. Grounded in examples that resonate with both teams and members, the conversation focuses on pairing data, technology, and human expertise to improve decisions and open up new ways of working—without losing sight of culture, mission, or the relationships that matter most.