#implementation physics

[procurement-insights]

Why would AI produce any better results than previous technologies?

Why Would AI Produce Any Better Results Than Previous Technologies?

[procurement-insights]

We don't predict failure. We identify the conditions that produce it.

Technology Changes. The Story Doesn't.

[procurement-insights]

The Kearney Report: When accuracy becomes false confidence.

The Kearney $46 Million Gap — and the Structural Question Their Excellence Model Cannot Answer

[procurement-insights]

"Technology did not diminish because it became weaker. It diminished because the real constraint moved somewhere else." A 2004 paper meets the chart that now proves it.

When the Constraint Moved: A 2004 Paper, Three Charts, and the Question the Discourse Has Been Avoiding

[procurement-insights]

AI Success Requires More Than Truth. It Demands Accuracy.

Why Half of CEOs Believe Their Job Depends on Getting AI Right — And What the Discourse Keeps Missing

[procurement-insights]

"Incomplete assumptions don't disappear. They accumulate. And when the system scales, reality collects the debt."

You Can't Assess What You Can't Access: The Power of Independent Longitudinal Verification

[procurement-insights]

She built an AI agent that hits every metric. That's exactly when the system around it starts to break.

A practitioner built the perfect AI Agent, now what is the "BUT"?

[procurement-insights]

Isn't it time the Boardrooms and C-Suite knew what procurement has known all along?

The end of this AI runway is in sight. By Jon Hansen | Procurement Insights | January 2026 Everyone claims to be discussing “AI,” but the conversations never quite connect. That’s because each actor in the procurement technology ecosystem is operating from a different paradigm stage — and they’re talking past each other. Solution providers are still in Normal Science, rewarded for capability…

Isn't it time the Boardrooms and C-Suite knew what procurement has known all along?