The ideas the industry is now calling “next-gen procurement” — agentic workflows, data-centric architectures, readiness-anchored transformation — are not new. They’re what I documented across 27 years of research.
As AI reshapes procurement and as SAP, Coupa, Ivalua, GEP and others are forced into replatforming cycles, it’s worth remembering the foundations that predicted this shift long before the 2023–2025 AI wave.
Here is the actual historical arc:
2007 — Metaprise Architecture
Documented the structural limits of bolted-on S2P suites and why adaptive, agent-based models outperform static stack designs.
2009 — Readiness-First
Explained why organizational failure modes recur regardless of technology sophistication — because success is a function of readiness, not software.
2011 — Dangerous Myths (Data & Architecture Dependency)
Showed why platforms with fragmented data models eventually enter architectural collapse.
SAP Ariba’s 2025 replatforming validated this twelve years later.
2015 — Hansen Fit Score
Formalized a quantitative readiness framework (Behavioral Alignment, Execution Capacity, Process Maturity, Data Intelligence, Technology Architecture).
It remains the only model capable of predicting transformation outcomes with measurable accuracy.
2019 — Strand Commonality Theory
Identified the universal “strands” that appear in every successful or failed transformation — independent of technology, industry, or era.
2023 — Layered Actor-Process-Governance AI Models
Mapped how human agents, digital agents, and governance frameworks interact in complex systems.
2024–2025 — RAM 2025 (Six-Model Architecture)
Unified 27 years of research into an organizational physics framework capable of evaluating AI agents, composable platforms, and next-gen S2P architectures.
The current market shift — from systems-of-record to systems-of-leverage, from workflows to agents, from static suites to composable intelligence — is not an evolution of technology.
It is a convergence with what I documented since 1998:
Technology evolves. Organizational dynamics don’t.
Readiness determines outcomes. Not software. Not AI. Not architecture.
For those interested in the full arc: https://youtu.be/49BS-MkGoak
30
Procurement Insights
Why the Industry Keeps “Rediscovering” What We Documented in 1998
Posted on November 24, 2025
0
The ideas the industry is now calling “next-gen procurement” — agentic workflows, data-centric architectures, readiness-anchored transformation — are not new. They’re what I documented across 27 years of research.
As AI reshapes procurement and as SAP, Coupa, Ivalua, GEP and others are forced into replatforming cycles, it’s worth remembering the foundations that predicted this shift long before the 2023–2025 AI wave.
Here is the actual historical arc:
2007 — Metaprise Architecture
Documented the structural limits of bolted-on S2P suites and why adaptive, agent-based models outperform static stack designs.
2009 — Readiness-First
Explained why organizational failure modes recur regardless of technology sophistication — because success is a function of readiness, not software.
2011 — Dangerous Myths (Data & Architecture Dependency)
Showed why platforms with fragmented data models eventually enter architectural collapse.
SAP Ariba’s 2025 replatforming validated this twelve years later.
2015 — Hansen Fit Score
Formalized a quantitative readiness framework (Behavioral Alignment, Execution Capacity, Process Maturity, Data Intelligence, Technology Architecture).
It remains the only model capable of predicting transformation outcomes with measurable accuracy.
2019 — Strand Commonality Theory
Identified the universal “strands” that appear in every successful or failed transformation — independent of technology, industry, or era.
2023 — Layered Actor-Process-Governance AI Models
Mapped how human agents, digital agents, and governance frameworks interact in complex systems.
2024–2025 — RAM 2025 (Six-Model Architecture)
Unified 27 years of research into an organizational physics framework capable of evaluating AI agents, composable platforms, and next-gen S2P architectures.
The current market shift — from systems-of-record to systems-of-leverage, from workflows to agents, from static suites to composable intelligence — is not an evolution of technology.
It is a convergence with what I documented since 1998:
Technology evolves. Organizational dynamics don’t.
Readiness determines outcomes. Not software. Not AI. Not architecture.
For those interested in the full arc: https://youtu.be/49BS-MkGoak
30
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