Browsing All Posts filed under »Commentary«

RAM 2025: When a 30-Year Hypothetical Matches Lived Experience

January 14, 2026

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A hypothetical 30-year trajectory built from public data. A practitioner who lived it. The graph matched. The inflection point matched. The mechanism matched. That's RAM 2025.

Why You Should Avoid The Hackett Group’s January 28th Webinar

January 13, 2026

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When it comes to AI success, you have to stop chasing the best-of-breed illusion and realize your own unique outcomes.

Performance Parity Isn’t About Technology — It’s About People

January 13, 2026

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Why AI can't overcome the 'best-of-breed' illusion some are selling.

Glass G-Commerce: Strong Technology, Missing Methodology

January 13, 2026

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What 30 Years of Procurement History Tells Us About Glass's G-Commerce.

The Pattern of Equation-Based Thinking Is Repeating With CrewAI — And the Results Will Be the Same as Always

January 12, 2026

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The agentic AI conversation is accelerating — and organizations are making the same mistake they made with ERP, e-procurement, and cloud. Here's why CrewAI is equation-based thinking in new clothing.

Three Thoughts About AI That Will Change Your Thinking for the Better

January 11, 2026

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When it comes to AI, the industry is still playing chess when it should be building teams.

Nothing Changed — Except the Speed

January 11, 2026

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Nothing Fundamental Has Changed in Transformation — Only the Speed at Which Failure Reveals Itself

Most People Missed the One Game-Changing Line from the Previous Post — So Did All Five of the RAM 2025 Models

January 10, 2026

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Why The Black Box Isn't a Technology Problem — It's a Human-Agent Collaboration Choice.

The Executives Who Fail Aren’t the Ones Who Don’t Know — They’re the Ones Who Can’t Admit It

January 10, 2026

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What are the two smartest things you have ever said? Mine are: "I don't understand" and "Am I missing something?"

Why I’m Done Tracking Gartner — and What I’m Focusing on Instead

January 10, 2026

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"Gartner is not wrong. They are simply not designed to solve the problem of implementation success in the AI era."