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Delivering Understanding Beyond Insights
Browsing All posts tagged under »Enterprise AI«
The Hackett Group’s AI Paper: What Five AI Models Found When They Read the Data
December 28, 2025
Five AI models read Hackett's latest paper. All five found the same buried lede: 18 years of data prove technology doesn't close the performance gap. Organizational readiness does. But that headline doesn't sell consulting engagements.
Why “Augmented Intelligence” Became the Invisible Third Rail of Enterprise AI
December 27, 2025
Human-in-the-loop models work regardless of technology era. Tech-led models fail regardless of technology era. That's not theory—that's 27 years of production data.
The 6 Accountability Questions That Consultants, Analysts, and Solution Providers Rarely, If Ever, Ask
December 27, 2025
The 6 questions that determine whether your transformation will succeed—and why most vendors hope you never ask them.
Understanding The 6th Accountability Question
December 27, 2025
Who is responsible when an AI initiative fails?
14 Years Later, Same Question: What Is Gartner Actually For?
December 27, 2025
Five AI models scored 10 recent Gartner graphics. Clarity: 6.8. Promotional: 7.3. Likelihood of reversing the 80% failure rate: 2.7. I first asked today's question in 2011. Still waiting.
Why ConvergentIS Earned Top-of-Market Scores—And Why This Isn’t a Technology Story
December 26, 2025
ConvergentIS just earned 9.7s and a perfect 10 from Spend Matters. But they've also walked away from major accounts that weren't ready. The scores prove the technology works. The exits prove that technology alone isn't enough.
Tom Brady Speaks To Procurement Professionals: Don’t Skip The Film Room!
December 26, 2025
Advantage comes less from bigger, faster tools and more from pre‑work that builds deep, agent‑level understanding before the snap.
RAM 2025 Multimodel Assessment: Gartner’s “Guardian Agents 2029” Graphic
December 25, 2025
Gartner's Guardian Agents: FOMO or Fact?
Why Gartner Is Annoying?
December 24, 2025
Gartner told 2.1 million followers that 80% of AI projects fail to deliver ROI. Then they projected spending will triple to $600 billion by 2029. They didn't connect the dots. I asked five AI models why that's annoying.
Procurement Insights 
Why Proprietary Procurement Operating Systems Failed—and What Replaces Them
December 28, 2025
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Ariba, Coupa, and SAP all tried to build procurement operating systems—and failed. The reason isn't that the concept was wrong. They built for lock-in instead of readiness. Here's what replaces them.