Books, research, and insights from the Leadership Decision Crisis Series and PM NeuroPilot research.
A three-part series examining why projects fail, why failure persists, and how AI might help.
Why Smart Teams Keep Making the Same Mistakes
The first volume explores the cognitive biases that cause project failure. Drawing on PMI research and behavioral economics, this book reveals why intelligent, well-intentioned teams consistently fall into predictable traps—and why traditional solutions don't work.
How Decisions, Incentives and Governance Make Failure Self-Sustaining
The second volume asks the harder question: Why do these patterns persist even after we understand them? This book examines the structural forces—governance, incentives, and decision environments—that make organizational failure self-sustaining.
An AI Bridge from Decision Design to Intelligent Decision Support
The final volume bridges decision design and decision intelligence. This book explores how artificial intelligence can be used to instrument decision environments—making bias visible, risk accumulation measurable, and critical signals harder to suppress.
Our approach is grounded in decades of peer-reviewed research in cognitive psychology, behavioral economics, and project management.
PM NeuroPilot's 8-bias framework builds on foundational work by Kahneman, Tversky, and others who established how systematic cognitive errors affect human decision-making.
We draw heavily on PMI's Pulse of the Profession reports and Bent Flyvbjerg's work on megaproject failure to understand how cognitive biases manifest in project environments.
The intervention design for PM NeuroPilot draws on behavioral economics research about how to effectively change decision behavior through environmental design.
PM NeuroPilot is designed to detect and help mitigate eight cognitive biases that research shows have the greatest impact on project outcomes.
Systematic underestimation of time, costs, and risks while overestimating benefits.
Believing your project is less likely to experience negative events than others.
Continuing investment based on past costs rather than future value.
Seeking information that confirms existing beliefs while ignoring contradicting data.
Over-reliance on initial information when making subsequent decisions.
Overweighting recent or memorable events in risk assessment.
Prioritizing team harmony over critical evaluation of decisions.
Preference for the current state even when change is beneficial.
We are committed to rigorous validation and transparent reporting of results.
We are pursuing PMI Research Grants and NSF SBIR funding to ensure independent validation of our approach.
Our Q2 2026 pilot program will test PM NeuroPilot with 2-5 organizations across 30-50 project teams.
We commit to publishing complete results regardless of outcome. If our hypotheses are wrong, we will say so publicly.