About this Presentation
Explore how AI can be leveraged to generate options within a TOC framework, empowering better human decision-making. Learn about the current limitations and risks of rapidly advancing AI and suggestions on how the win-win ethics of the TOC might promote better behavior in both humans and AI.
What Will You Learn
To help you get the most value from this session, we’ve highlighted a few key points. These takeaways capture the main ideas and practical insights from the presentation, making it easier for you to review, reflect, and apply what you’ve learned.
The presentation highlights how AI can serve as a thinking partner to support TOC Thinking Processes — helping structure logical models and surface assumptions more quickly than manual methods.
It shows that TOC Thinking Processes themselves are strong models of reality but are often under-used because they can be time-intensive, and AI offers a way to bridge that gap.
The session illustrates how blending AI with structured TOC tools (like conflict clouds and strategy-tactic trees) can expand the accessibility and reach of TOC analysis beyond expert practitioners.
It also brings attention to the practical limits and risks of current AI (e.g., hallucinations and variability) and why intentional integration with TOC logic — not blind automation — is crucial for meaningful problem framing.
Instructor(s)
Christophe Lambert Ph.D
Christophe G. Lambert, Ph.D., is a Professor of Medicine and Division Chief of Translational Informatics at the University of New Mexico. He is also the founder, past CEO and current Chairman of Golden Helix, a Bozeman-based bioinformatics company. Throughout his career, he has applied systems thinking to the challenging problems affecting life sciences and healthcare research, with numerous articles and presentations diagnosing systemic problems and prescribing the change management required for improvement. As a lifetime TOCICO member, certified in the Theory of Constraints (TOC) Fundamentals (2004) and Thinking Processes (2006), he applied TOC within his own company for a decade, and currently applies it to problems in mental and organizational health. Originally from Canada, Dr. Lambert received his bachelor’s degree from Montana State University, and a PhD in computer science from Duke University.