About David J. Patrishkoff
Connecting operational excellence, high-reliability systems, and human-governed AI
David J. Patrishkoff is President of E3—Extreme Enterprise Efficiency LLC, the original consulting and operational-excellence company, and Founder of E3 AI Systems, its human-governed AI and decision-intelligence brand. He is a Lean Six Sigma Master Black Belt, former senior defense analyst, author, and adjunct professor.
Across more than three decades, he has advised leaders and improved systems in more than 60 industries. He has held C-level engineering, quality, and manufacturing roles; trained or mentored more than 3,000 Lean Six Sigma professionals; facilitated high-reliability organization training for more than 23,000 healthcare participants; and built more than 200 AI applications and prototypes.
His government work includes designing and facilitating cascading-risk war games and providing decision-support consulting to Pentagon organizations, including work involving secure generative AI services in government environments.
Teaching and current work
Patrishkoff teaches graduate courses at Kettering University, Nova Southeastern University’s Dr. Kiran C. Patel College of Osteopathic Medicine, and SUNY Polytechnic Institute. His teaching and training include applied AI, AI application development, data science, predictive analytics, healthcare quality, Lean Six Sigma, and high-reliability systems.
His current research and prototype work centers on Human–AI Decision Filters and Wisdom Loops—a distrust-first decision architecture for qualifying evidence, challenging assumptions, bounding authorization, monitoring action in reality, and carrying validated lessons forward.
Books and principles
He is the author of No-Code Data Science and the forthcoming Unintended Consequences: How the AI Arms Race Rewards Risky Shortcuts—and Why More Intelligence Does Not Guarantee Wiser Decisions.
“Blame the process, not the people.”
Accountability is not blame. It means that humans still own the purpose they define, the authority they grant, the interventions they authorize when conditions change, and the lessons they carry forward.
Develop aggressively. Act with appropriate authority. Learn visibly.
Across more than three decades, he has advised leaders and improved systems in more than 60 industries. He has held C-level engineering, quality, and manufacturing roles; trained or mentored more than 3,000 Lean Six Sigma professionals; facilitated high-reliability organization training for more than 23,000 healthcare participants; and built more than 200 AI applications and prototypes.
His government work includes designing and facilitating cascading-risk war games and providing decision-support consulting to Pentagon organizations, including work involving secure generative AI services in government environments.
Teaching and current work
Patrishkoff teaches graduate courses at Kettering University, Nova Southeastern University’s Dr. Kiran C. Patel College of Osteopathic Medicine, and SUNY Polytechnic Institute. His teaching and training include applied AI, AI application development, data science, predictive analytics, healthcare quality, Lean Six Sigma, and high-reliability systems.
His current research and prototype work centers on Human–AI Decision Filters and Wisdom Loops—a distrust-first decision architecture for qualifying evidence, challenging assumptions, bounding authorization, monitoring action in reality, and carrying validated lessons forward.
Books and principles
He is the author of No-Code Data Science and the forthcoming Unintended Consequences: How the AI Arms Race Rewards Risky Shortcuts—and Why More Intelligence Does Not Guarantee Wiser Decisions.
“Blame the process, not the people.”
Accountability is not blame. It means that humans still own the purpose they define, the authority they grant, the interventions they authorize when conditions change, and the lessons they carry forward.
Develop aggressively. Act with appropriate authority. Learn visibly.