Browsing All posts tagged under »Artificial Intelligence«

Gartner and Forrester Tell You Which Vendor Is Best. But Best for Whom?

December 1, 2025

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Why does the industry need a practitioner-centric framework alongside the vendor-centric ones?

The Hidden Column Missing from Every Procure-to-Pay Shortlist

December 1, 2025

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What's the 'Missing Column' in ProcureTech selection success?

Kroger’s $2.6 Billion Write-Down Proves What I Wrote in 2008: Technology Doesn’t Fail — Unready Organizations Fail at Technology

November 30, 2025

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A 2008 paper explains why Kroger just did a $2.6 billion write-down of their robotic fulfillment center initiative.

Is Procurement Finally Prepared to “Go To The Line” in the AI Era?

November 30, 2025

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Which procurement professional are you prepared to be?

Context Engineering Without Readiness Is Just a Sophisticated Way to Fail

November 29, 2025

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Why Gartner’s Context Engineering is like fixing the windshield wipers… on a car with a failing engine.

It Isn’t The Instrument — It’s The Musician

November 29, 2025

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This beat-up ThinkPad with worn keys is running the same AI architecture I built for Canada's Department of National Defence in 1998. If you want to know why I'm so confident in the HFS — today's post will tell you.

When Agentic AI Meets Organizational Unreadiness

November 29, 2025

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The world just discovered what I wrote in 1998: Autonomous AI without organizational readiness isn't transformation — it's accelerated failure.

How The Industry Keeps Repeating Collins’ Doom Loop — And Why

November 27, 2025

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The structural conflict nobody dares to name out loud - WHY?

When Success Isn’t Enough: What One Professional Services Firm’s Procurement Journey Reveals About Fit, Scale, and the Hidden Cost of “Either–Or” Thinking

November 26, 2025

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When Growth Breaks Fit: What One Case Reveals About Procurement’s Biggest Blind Spot.

How Do Solution Maps and Quadrants Help Reverse the 80% Failure Rate?

November 25, 2025

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Why does the ProcureTech solution side of the table make billions, while the practitioner side loses trillions (and more)?