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Truth Is Believing. Accuracy Is Knowing.
What You See, and Why We Need to Talk
August 30, 2026
What we don't talk about, and why we should.
Posted in: Commentary
Cisco Just Gave 90,000 People an Agent. The Architecture Is Not New — and the Hard Question Is Still Unanswered.
August 29, 2026
The most important sentence about Cisco's 90,000-agent rollout came from Cisco.
Posted in: Commentary
The Agents Were Filed in 2000. The Architecture Was Already Working.
August 28, 2026
Agentic AI success will not come from smarter agents. It will come from the architecture around them — and that was documented in 2001.
Posted in: Commentary
To Ensure AI Implementation Success, Are We Finally Ready to Move Past the 1983 Decision Hierarchy Framework?
August 27, 2026
Build a private instrument beside the system, or assign people to bend your practice into it. What does that mean, and what does it cost in the AI era?
Posted in: Commentary
When Is the Right Time to Disturb Success?
August 26, 2026
The moment an operation is most exposed to a wrong measure is the moment nobody is examining it — because the measure is producing good numbers.
Posted in: Commentary
Where AI Belongs in a Procurement Decision — and Where It Does Not
August 26, 2026
Every AI deck shows you where AI goes. This one shows where it doesn't — and why that's the part that decides the outcome.
Posted in: Commentary
The Operating System Is the Right Architecture. Nobody Has Said Where Its Intelligence Comes From.
August 25, 2026
Everyone is arguing about what AI agents should be allowed to decide. Nobody is asking where their picture of reality came from.
Posted in: Commentary
The Accident Report Names a Cause. The Flight Recorder Lets You Sit in the Seat Before the Outcome Even Happened.
August 23, 2026
What is the difference between a case study and a case lab? The details.
Posted in: Commentary
The Hansen Case Labs: A New Course, By Invitation Only
August 22, 2026
Procurement Insights · Jon W. Hansen, FCIPS Most case teaching hands you a story with the ending already attached. Someone decided what went wrong, wrote it up, and you spend the session finding the clues that were pointed out to you. It feels like analysis. It is recall. Starting this autumn, I am running something […]
Posted in: Commentary
What do you see in this graph, and why is it important for your AI success?
September 1, 2026
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The biggest challenge with AI isn't the black box — it's the numbers you can see.