AI | Procurement Insights

Browsing All posts tagged under »AI«

The Integrity Test: What Serious Advisors Put in Writing Before You Implement

January 22, 2026

How can you tell whether an advisor is operating as a verification authority — or as a program accelerator.

What Might Satya Nadella Say About the Fivetran MIT Report?

January 21, 2026

Technology doesn't have culture. People do. Nadella understood that. This report forgot it.

The “Torrent” Argument: Where Transformation Failure Quietly Begins

January 20, 2026

Every major failure wave starts with the same sentence: 'Things are moving so fast, we may be forced to adopt.'

When Models Agree, the Question Is Why: A Real-Time Case Study in Multimodel Validation

January 19, 2026

I watched an AI model fabricate provenance — confidently, articulately, and completely. Then I watched the methodology catch it.

The Archive Advantage: Why Lived Experience Is the Counterweight to the Black Box

January 18, 2026

Anyone can wire up multiple AI models. No one can manufacture 27 years of documented pattern recognition.

The Opaque Clarity of the AI Black Box Revealed

January 17, 2026

The Black Box was never an AI problem. It was always a governance problem. Here's the proof — and the solution.

The Rationalization Boomerang: 30 Years of Consolidate, Collapse, Rebuild (1995-2025)

January 15, 2026

The rationalization boomerang - is it time to get off the roller-coaster?

The AI Implementation Gap: 2020-2025 — Or Shouldn’t We Be Measuring Success Instead of Documenting Failure?

January 15, 2026

Shouldn't we be measuring success instead of documenting failure?

RAM 2025 vs. Vibe-Coding — The Accuracy Gap

January 14, 2026

Isn't it time we stopped using industry-standard guesswork and started using Implementation Physics to ensure success rather than hope for it? Meet RAM 2025 Multimodel Verification.

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

January 13, 2026

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