Before we optimize the system... are we certain we've correctly modeled the one we're standing in?
— The C-Suite
Two established families of frameworks — reference models (SCOR, TOC, Six Sigma) and relational models — both work on the system as it is declared to operate. The Hansen work validates that the declared system is the real one, before either begins.
Every major AI report this year found the same problem: readiness, not technology. Every one of them reached for a checklist. A checklist is the one thing that can't fix it — and the reason is ontological.
I've used the term "supply chain" my entire career — and never quite trusted it. Not the words; the mental model they smuggle in. A chain teaches you to hunt for the broken link. But nothing important moves in a line — it moves in a weave, and the failure is never in a single strand or thread. It's in the pattern.
The "agentic organization" isn't new. I ran a version of it in 1998 — a trainyard where humans governed the tracks. The trains are AI agents now. What hasn't changed is who has to be in the tower. And the danger was never the trains.
The biggest mistake with AI isn't overestimating what it can do — it's building agents to execute functions no one validated against reality.
Every transformation method — TOC, Lean, Six Sigma, Agile — reasons brilliantly once the model is right. The one upstream step they all assume you already took is the step that decides the outcome. A new one-day Executive MasterClass, extending TOC, on the missing nail: validating the operating model before you reason. Available August 17.
The Theory of Constraints reasons brilliantly — once the system is characterized. The question that decides the outcome sits one step upstream: is the model the operating reality, or the process people are willing to describe?
Aaron Levie said Build for how the world should work. Almost three decades of implementations continue to point to the missing step — build for how it really works, before a court calls it a design output.
McKinsey documents in luxury what this archive has recorded since 2004: where intent is first interpreted decides everything downstream. The physics never changed.
Recent CIO Surveys and CPO Conferences Made Me Think of Genchi Genbutsu (現地現物): Here’s Why.
July 28, 2026
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Before we optimize the system... are we certain we've correctly modeled the one we're standing in? — The C-Suite