The Exploding "D" Phase Why AI Amplifies Organizational Misalignment — And What to Do About It
A Hansen Method White Paper | January 2026
"We're hitting the 'exploding D' phase. Organizations doubled down on AI as the breakthrough that would finally fix execution — and in many cases the gap between promise and outcome has widened. AI isn't failing because it's weak technology; it's failing because it amplifies organizational misalignment. The tech-fixes-all runway is ending, and the next paradigm is implementation physics: readiness, governance, and human-system fit."
— Jon Hansen, Founder & CEO of Hansen Models, Creator of the Hansen Method
Why 70-80% of procurement AI implementations fail — and how to ensure yours doesn't.
For three decades, the technology industry has promised transformation and delivered disappointment. E-procurement failed. Digital transformation failed. Now AI is failing — faster.
This isn't a technology problem. It's an organizational physics problem.
This white paper delivers:
- The 30-Year Pattern — Why the failure rate hasn't changed across three technology eras, and what that reveals about the real cause
- The Amplification Effect — Why AI accelerates failure in unprepared organizations (and accelerates success in prepared ones)
- The Kuhnian Analysis — Where procurement AI sits today on the paradigm shift timeline, and what comes next
- Implementation Physics — The measurable forces that determine success: Readiness, Governance, and Human-System Fit
- RAM 2025 Framework — The multimodel verification methodology with 75-87% discrimination reliability across 180+ implementations
- Practitioner Playbooks — Specific actions for CPOs, CFOs, and Boards to shift from hope-based to physics-based planning
Based on:
- 27 years of documented methodology (1998-2025)
- 18-year Procurement Insights archive
- Four-model independent validation
- 180+ implementation case base
- DND case study: 97.3% delivery accuracy, 23% cost savings
This paper is for you if:
✓ You've watched technology implementations underperform — again
✓ You're evaluating AI investments and want to predict outcomes before you commit
✓ You need to make the case for readiness assessment to your board or CFO
✓ You're tired of vendor promises and want validated methodology
What you'll walk away with:
- A framework to assess organizational readiness before technology selection
- The questions that surface misalignment before it becomes expensive
- Language to reframe the conversation from "Which AI?" to "Are we ready?"
- Evidence to justify Phase 0 investment to skeptical stakeholders
$497 |19 pages | 4 original graphics
By Jon Hansen, Founder & CEO of Hansen Models, Creator of the Hansen Method