Sean Wood
Founder & Principal, Human Pilots AI
Sean Wood began his AI adoption and change leadership work at IBM in 2015, nearly a decade before generative AI entered the mainstream conversation, working inside enterprise transformation programs for global brands including Coca-Cola, AT&T, Verizon, and Home Depot. Technology delivers value only when people and workflows are ready for it. That insight drove the founding of Human Pilots AI and the development of the ARC Framework.
He advises mid-market executives on AI readiness, organizational capability, and the human factors that determine whether AI investment produces results. His work draws on peer-reviewed research across cognitive science, human factors engineering, behavioral economics, decision science, and organizational psychology, the same five disciplines that underpin the ARC Framework.
Learn more about Human Pilots AI →
The questions executives bring to this work
What should we do first?
How ready is our organization?
How do we measure success and scale?
How do we align teams and structure for AI?
What workflows will AI meaningfully improve?
How do we reduce risk, increase adoption, and move faster?
The work
AI enablement programs stall for predictable reasons. Leaders apply mental models built for deterministic technology to generative and agentic AI. They measure activity instead of outcomes. They deploy programs that ignore how people work.
ARC gives organizations a diagnostic score across Adaptability, Resilience, and Confidence, measuring exactly where these gaps exist and what to address first.
Background
Before founding Human Pilots AI, Sean was at IBM working on analytics, predictive marketing and digital customer experiences. That work established the foundational principle behind everything that followed: the gap between AI investment and business outcomes is a human problem, not a technology problem.
Human Pilots AI was founded to close that gap.
Thought Leadership
Sean publishes and speaks on AI adoption, organizational readiness, and the human factors that determine whether AI investment produces results.
Sean Wood AI: https://seanwood.ai
Substack: https://seanwood.substack.com
LinkedIn: https://linkedin.com/in/seanwood1
AI Readiness is a score, not a feeling.
The specific gaps costing you revenue and time, and a 30-day action plan.
Thirty minutes.

