Browsing All Posts filed under »Commentary«

If the Hansen Fit Score™ Had Existed in 1990: SAP, Ariba, and the DNA of ProcureTech Failure

March 13, 2026

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What a 1990 Hansen Fit Score™ would have told Hershey, FoxMeyer, and everyone now buying AI platforms.

Why Vendor Cooperation Is Welcome but Never Required

March 12, 2026

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"How do you score a vendor who won't cooperate with you?"

When Boards Ask “Who Should We Trust?” — Here’s the Honest Answer

March 12, 2026

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Which organization scores highest when boards ask who can actually explain why AI initiatives keep failing?

What Gartner Knew in 1990 That the AI Industry Has Forgotten

March 12, 2026

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Why implementation causality, not vendor capability, is the industry's current blind spot.

KPMG’s AI Prize Program Is Not an Innovation Strategy. It’s an Organizational Readiness Problem.

March 12, 2026

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"Measuring AI utilization is important but doesn't tell you much about the quality of the work." — Rob Fisher, KPMG US Vice Chair of Advisory

When Three Posts Surface Overnight, the Archive Is Telling You Something

March 10, 2026

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"The practitioners — the ones actually responsible for outcomes, not the ones writing reports about them — have been sold frameworks that failed them at a rate of 80% for two decades. With Hansen Models™, they are no longer alone."

Nine Months Later, the Iran War Shows Why Black Swans Rarely Arrive Without Signals

March 9, 2026

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The best way to respond to the Iran war is not to expand your AI footprint, but the aperture of your procurement and supply chain lens.

Thirty Years of Evidence Says You Can’t Metric or Govern Your Way Out of a Readiness Problem

March 9, 2026

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"The question isn't whether you build an AI factory. It's whether you run Phase 0 before you turn it on."

Is Data Governance Really About Data?

March 9, 2026

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What is the difference between "clean" data and "blind" data?

When Five AI Models Analyze the Same Data Three Months Apart — and Reach the Same Conclusion

March 8, 2026

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Five AI models. Three verification layers. Two graphs. Thirty years of data. One conclusion the industry has overlooked for multiple tech generations.