On the openness that turns a single observation into a shared way of thinking — and what last week’s exchange on Jason Busch’s SAP post represents.
There is something worth paying attention to in the exchange below.
Not because of who said what — but because of what it represents.
Ideas do not move forward because one person gets them right. They move forward because people are willing to engage with them, test them, challenge them, and build on them over time.
In this case, a comment introduced a different way of looking at AI agent architectures — one layer above the technology itself, at the point where decisions actually get tested against real-world conditions. The validation altitude.
What followed wasn’t agreement or disagreement. It was expansion.
Bob Ferrari, an independent analyst whose work is well known, recognized the three-layer architecture in the framing and placed it in the context of how ERP, SCM, procurement, and AI start-ups are battling to establish their footholds. That recognition is the part that matters. It is also the part that most professional writing about technology never reaches, because most professional writing about technology is structured to win arguments rather than to be built upon.
The ability to take an idea, hold it next to the dynamics you are already tracking, and connect it to the broader market conversation is how disciplines actually form. We talk a lot about technology, models, and architectures. But the real advantage — individually and collectively — is much simpler than any of that.
Openness to new ways of thinking. Willingness to engage with ideas before they are fully formed. The discipline to evolve them together over time.
That is how markets move.
Not through certainty. But through conversation.
The best ideas are not the ones that win arguments. They are the ones that others can build on.
The exchange below is one example of that process in motion.
Bob Ferrari’s comment on Jason Busch’s SAP API policy post, April 2026.
Phase 0™ · Hansen Fit Score™ (HFS™) · ARA™ · RAM 2025™ · Real-World Condition Substrate™ Hansen Models™ · Founder: Jon W. Hansen · hansenprocurement.com
-30-
A Deeper Dive into the Validation Layer
The substrate altitude shown in the diagram above is the same substrate the ProcureTech providers use. But they consume it through a single thin wrapper feeding their own solutions — one foundation model, one input stream, one output the provider then packages and delivers to the institution.
The validation altitude consumes the same substrate differently.
Multiple foundation models are orchestrated simultaneously against one another. The orchestration produces convergence signals where the models agree, contradiction signals where they disagree, and gap signals where one surfaces material another missed. That orchestrator-side relationship to the substrate is what makes the validation altitude structurally distinct from the consumer-side relationship the rest of the AI conversation has been treating as sufficient.
The composed architecture looks like this:
The validation altitude in its composed architecture — RWCS™ as cross-industry longitudinal substrate, MMVV™ as orchestrator-side multi-model discipline, structurally distinct from the consumer-side relationship the rest of the AI conversation has been treating as sufficient.
What looks like a single labeled altitude in Bob Ferrari’s three-layer reading is itself a composed architecture. The validation layer the AI conversation has been missing is missing not because it has been overlooked, but because it cannot be reached from the consumer-side relationship to foundation models that the rest of the stack is built on. The distinction is structural, not incremental.
That is the part the senior reader needs to absorb before any AI agent deployment strategy can carry the validation property this post has been describing.
Procurement Insights
From Idea to Discipline: The Validation Layer the AI Conversation Has Been Missing
Posted on May 2, 2026
0
On the openness that turns a single observation into a shared way of thinking — and what last week’s exchange on Jason Busch’s SAP post represents.
There is something worth paying attention to in the exchange below.
Not because of who said what — but because of what it represents.
Ideas do not move forward because one person gets them right. They move forward because people are willing to engage with them, test them, challenge them, and build on them over time.
In this case, a comment introduced a different way of looking at AI agent architectures — one layer above the technology itself, at the point where decisions actually get tested against real-world conditions. The validation altitude.
What followed wasn’t agreement or disagreement. It was expansion.
Bob Ferrari, an independent analyst whose work is well known, recognized the three-layer architecture in the framing and placed it in the context of how ERP, SCM, procurement, and AI start-ups are battling to establish their footholds. That recognition is the part that matters. It is also the part that most professional writing about technology never reaches, because most professional writing about technology is structured to win arguments rather than to be built upon.
The ability to take an idea, hold it next to the dynamics you are already tracking, and connect it to the broader market conversation is how disciplines actually form. We talk a lot about technology, models, and architectures. But the real advantage — individually and collectively — is much simpler than any of that.
Openness to new ways of thinking. Willingness to engage with ideas before they are fully formed. The discipline to evolve them together over time.
That is how markets move.
Not through certainty. But through conversation.
The best ideas are not the ones that win arguments. They are the ones that others can build on.
The exchange below is one example of that process in motion.
Phase 0™ · Hansen Fit Score™ (HFS™) · ARA™ · RAM 2025™ · Real-World Condition Substrate™ Hansen Models™ · Founder: Jon W. Hansen · hansenprocurement.com
-30-
A Deeper Dive into the Validation Layer
The substrate altitude shown in the diagram above is the same substrate the ProcureTech providers use. But they consume it through a single thin wrapper feeding their own solutions — one foundation model, one input stream, one output the provider then packages and delivers to the institution.
The validation altitude consumes the same substrate differently.
Multiple foundation models are orchestrated simultaneously against one another. The orchestration produces convergence signals where the models agree, contradiction signals where they disagree, and gap signals where one surfaces material another missed. That orchestrator-side relationship to the substrate is what makes the validation altitude structurally distinct from the consumer-side relationship the rest of the AI conversation has been treating as sufficient.
The composed architecture looks like this:
The validation altitude in its composed architecture — RWCS™ as cross-industry longitudinal substrate, MMVV™ as orchestrator-side multi-model discipline, structurally distinct from the consumer-side relationship the rest of the AI conversation has been treating as sufficient.
What looks like a single labeled altitude in Bob Ferrari’s three-layer reading is itself a composed architecture. The validation layer the AI conversation has been missing is missing not because it has been overlooked, but because it cannot be reached from the consumer-side relationship to foundation models that the rest of the stack is built on. The distinction is structural, not incremental.
That is the part the senior reader needs to absorb before any AI agent deployment strategy can carry the validation property this post has been describing.
Share this:
Related