Browsing All posts tagged under »business«

How Human–AI Multimodel Collaboration Eliminates Bias In RAM 2025

February 17, 2026

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Here is how Human-AI Multimodel collaboration eliminate bias in RAM 2025.

Barilla Did Not Succeed Because of Solution o9. And That Changes Everything.

February 16, 2026

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Barilla didn't prove Solution o9 works. Barilla proved Barilla was ready - here's why.

The Map That Shows What No Analyst Report Will Tell You

February 16, 2026

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Isn't it time we measured and bridged the gap between ProcureTech capabilities and outcomes?

Phase 0 Isn’t a Starting Gate — It’s a Diagnostic Discipline

February 15, 2026

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What if your initiative struggles have nothing to do with technology?

10 Deals. $30 Billion. Zero Readiness Assessments.

February 10, 2026

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$30B made the tools better; it made the outcomes worse — because nobody measured readiness.

A CPO Asked Whether Zip’s New Enterprise Transformation Office Understands Phase 0 Readiness — We Put the Question to Six Independent AI Models

February 10, 2026

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A CPO asked my view of ZIP's Enterprise Transformation Office. Here are the results of the RAM 2025 Multimodel assessment.

Agentic AI Didn’t Kill the Magic Quadrant — It Made It Optional

February 9, 2026

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Why did Agentic AI demote Quadrants, Waves, and Maps?

We Ran a Multimodel AI Assessment on the Organizations Behind Supply Chain Digital’s Top 100 Leaders — Here’s What Their Public Narratives Reveal About AI Governance Readiness

February 9, 2026

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When it comes to readiness and AI governance, who leads the leaders?

The EU AI Act Didn’t Regulate Intelligence — It Regulated Readiness

February 8, 2026

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The EU AI Act takes effect in six months. It doesn’t ask how smart your AI is. It asks whether you can prove who decided, why, and with what authority. In ProcureTech, that readiness has not been independently measured. Until now.

The Widening Gap: Why Better Tech Hasn’t Fixed Procurement Failure

February 7, 2026

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The tools keep getting better. The failure rates don't move. One graph explains why.