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Truth Is Believing. Accuracy Is Knowing.
Browsing All posts tagged under »AI implementation failure«
Score the Decision, Not the Technology
September 8, 2026
What three questions must be answered before making a commercial commitment, rather than during implementation?
The Agents Were Filed in 2000. The Architecture Was Already Working.
August 28, 2026
Agentic AI success will not come from smarter agents. It will come from the architecture around them — and that was documented in 2001.
To Ensure AI Implementation Success, Are We Finally Ready to Move Past the 1983 Decision Hierarchy Framework?
August 27, 2026
Build a private instrument beside the system, or assign people to bend your practice into it. What does that mean, and what does it cost in the AI era?
When Is the Right Time to Disturb Success?
August 26, 2026
The moment an operation is most exposed to a wrong measure is the moment nobody is examining it — because the measure is producing good numbers.
Ten Legendary Business Thinkers Walk Into a Room: What Would They Say About AI?
August 1, 2026
Ten of history's greatest business thinkers walk into a room to talk about AI. They'd disagree on almost everything — except the one step every generation of technology keeps skipping.
Cisco Thrived. Boeing Didn’t. The Provider’s Platform Was Never the Reason — and Never a Non-Factor Either
June 28, 2026
"Same blueprint. Opposite outcomes. Why did Cisco thrive and Boeing stumble?"
Why a Checklist Could Never Have Saved This Contract
June 25, 2026
A 1998 lesson in strand convergence — and why checklists and technology stacks are not sufficient in the Agentic AI era.
Technology Debt Has a Number. The AI Era Is the First Chance to Pay It Down — or Bury It Forever.
June 1, 2026
Phase 0 isn't a readiness methodology. It's the mechanism for escaping forty years of accumulated technology debt.
Is Strand Commonality™ the Missing Key in Harnessing AI’s Power and Promise?
September 10, 2026
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The streaks in a long-exposure photograph are not cars. They are the record of something moving faster than the shutter could resolve. That is where AI's real promise is sitting.