Exploring the intersection of Lean thinking and AI innovation to drive organizational excellence
Humans perceive and verify end-to-end, while LLMs reason middle-to-middle. How combining both creates a powerful two-layer PDCA loop for learning together.
The signals surrounding AI couldn't be more confusing — warnings of massive unemployment, glitzy robot demos, yet quiet transformation happening in software and consulting. The key lies in understanding Big AI versus Narrow AI, and partnering AI with lean rather than treating it as an all-encompassing solution.
Drawing from 30 years of Lean implementation, this framework shows why successful AI adoption requires three elements working together: Technology, Behavior, and Management systems. When any element is zero, impact is zero. Learn how to multiply results instead of adding them.
Most Lean stories focus on the assembly line—kanban, standardized work, 5S—but overlook Toyota’s hidden engine of excellence: Production Engineering. Beneath the visible face of the Toyota Production System lay a decades-long effort to raise process capability through deep engineering kaizen—redesigning chucks, spindles, bearings, and fixtures. While consultants documented the daily management tools (Track 3) and researchers studied product development (Track 1), the middle layer—Track 2 Production Engineering (Seisan Gijutsu)—remained invisible. This “missing link” explains how Toyota moved from 5 % scrap rates to 0.05 % while holding micron-level precision. The story reminds us that Lean is not just about managing work—it’s about engineering process capability that others can’t see.
After spending some time building various coaching tools with AI, I began to see clear patterns in how people collaborate with large language models. The result is a five-level framework for AI proficiency — from casual chat use to full system integration. It explains why some users create breakthrough results while others see only hype, and how Lean thinking can guide us toward smarter human-AI collaboration.
Tokens vs Torque: 4 Types of Situations and how Ai can augment our abilities.
How I went from a full blown skeptic to a believer in the positive use cases of Ai in conjunction with topics like problem solving and Lean Thinking
