Sean Wood

Founder & Principal, Human Pilots AI

AI delivers value through people. Everything else is infrastructure.

That insight came from nearly a decade of AI adoption work at IBM, running inside enterprise transformation programs for global brands including Coca-Cola, AT&T, Verizon, and Home Depot. The programs were well-resourced. The technology worked. Adoption was the problem. Existing approaches weren't designed to solve it.

Human Pilots AI was founded to close that gap. The ARC Framework (Adaptability, Resilience, and Confidence) was built from pattern recognition across 80+ AI transformations, grounded in decades of peer-reviewed research across cognitive science, human factors engineering, behavioral economics, decision science, and organizational psychology.

The Work

Strategy, behavior, and the practical realities of how people use technology inside complex organizations.

Sean works directly with senior leaders and boards navigating AI adoption. Every engagement starts with an honest picture of current state: where the organization stands across all three ARC dimensions, what the specific gaps are, and what they are costing the business.

The work is built around close collaboration with the leaders and teams who know the organization from the inside. Their domain expertise shapes every intervention. The barriers identified are specific to their roles. The work they do is redesigned around how people perform at their best, with AI extending what they already know.

Every engagement is measured by one standard: did the business move? The case studies document what that looks like across multiple industries.

Background

AI adoption work that started before the mainstream conversation.

Sean began working on AI adoption at IBM in 2015, nearly a decade before generative AI entered mainstream business discussion. Leading IBM's AI Experience team, he worked inside enterprise transformation programs for global brands including Coca-Cola, AT&T, Verizon, and Home Depot. The consistent finding across those programs was about people: the gap between tool access and behavior change is where most AI programs stall, and it has a specific structure.

That finding drove the founding of Human Pilots AI and the development of the ARC Framework.

Beyond the organizational work, Sean tracks where industries are heading before it shows up in the market: patent activity, research publications, and emerging capabilities most executive teams aren't monitoring. That analysis shapes the strategic layer of every engagement — identifying which AI applications create defensible advantage and which become commodities.

Connect on LinkedIn

Professional Bio

For event programs, board decks, speaker introductions, and credential verification.

Short bio — 75 words

Sean Wood is the founder of Human Pilots AI and an independent advisor to senior leaders and boards on AI adoption. He led IBM's AI Experience strategy for executive adoption and drove digital transformation programs for global brands including Coca-Cola, AT&T, Verizon, and Home Depot. He developed the ARC Framework from pattern recognition across 80+ AI transformations. His work focuses on closing the implementation gap: where promising AI concepts collide with organizational reality.

Founder, Human Pilots AI | Perplexity Business Fellow | Guest Lecturer: Emory, Georgia Tech, UGA

Short bio — 200 words

Sean Wood is the founder of Human Pilots AI and an independent advisor to senior leaders and boards navigating AI adoption. He works with mid-market and enterprise organizations on AI readiness, behavior-led change, and the organizational capacity to produce results as technology keeps evolving.

Sean began his AI adoption work at IBM in 2015, nearly a decade before generative AI entered mainstream business discussion. Leading IBM's AI Experience team, he worked inside enterprise transformation programs for global brands including Coca-Cola, AT&T, Verizon, and Home Depot. The consistent finding across those programs shaped everything that followed: technology is rarely the limiting factor. The gap between promising AI concepts and business results is almost always about people — how they work, what they resist, and what the organization is built to reward.

That finding drove the founding of Human Pilots AI and the development of the ARC Framework, built from pattern recognition across 80+ AI transformations and grounded in research across cognitive science, human factors engineering, behavioral economics, decision science, and organizational psychology.

His competitive analysis work — tracking patent activity, research publications, and emerging capabilities — helps leadership teams understand where their industries are heading before it shows up in the market.

Founder, Human Pilots AI | Perplexity Business Fellow | Guest Lecturer: Emory, Georgia Tech, UGA

Writing & Speaking

Sean writes about the practical realities of AI adoption: how leaders make decisions under uncertainty, how teams build the confidence to keep experimenting, and how organizations redesign work as AI becomes part of daily practice.