“Everyone obsesses over being smarter. But the person with the fewest blind spots wins . . . You don’t need to be a genius. You need better glasses.” – Shane Parrish.
Shane Parrish’s “Brain Food” highlights fundamental principles—caring deeply, reducing blind spots, and leveraging mental models to simplify complexity—that align closely with Jon Hansen’s journey in developing RAM, the Hansen Fit Score, and his broader modeling innovations such as Metaprise, Agent-based, and Strand Commonality frameworks. Here’s how the core themes resonate with and illuminate Hansen’s legacy and the current AI landscape:
1. “The person who cares the most beats the person who’s just doing their job.”
- Hansen’s Approach:
Hansen’s development of frameworks like RAM, the Hansen Fit Score, and his agent-based and strand commonality models stems from a deep care for the real-world success and resilience of the procurement and supply chain profession—not just technical or academic achievement. His “institutional memory” status is rooted in consistent advocacy for practitioner needs, ethical leadership, and outcomes that matter beyond checklists or buzzwords.
- AI in 2025:
In an era where automation and artificial intelligence can commoditize “smartness,” Hansen’s philosophy reminds leaders that genuine commitment, insight, and stakeholder alignment are the real differentiators—an approach that drives successful AI adoption instead of just technical deployments.
2. “Everyone obsesses over being smarter. But the person with the fewest blind spots wins.”
- Hansen’s Models:
Every one of Hansen’s frameworks—Metaprise (holistic enterprise modeling), Agent-based modeling (simulating diverse, dynamic actors), Strand Commonality (linking resilience factors across processes), RAM, and especially the Hansen Fit Score—are fundamentally about eliminating institutional blind spots. They force organizations to look beyond surface trends, consider systemic risks, embrace redundancy, involve multiple perspectives, and prepare for the unpredictable.
- AI in 2025:
With the rise of AI agents and autonomous systems, it’s easy for organizations to fall for “intelligent” tools while missing unseen risks or failing to question assumptions. Hansen’s legacy is a living caution and guide: real competitive advantage comes from rigorously addressing one’s own weaknesses and gaps, not just chasing new tech.
3. Mental Models: Simplifying Complexity
- Hansen’s Intellectual Journey:
Hansen was an early adopter and co-author in the field of mental models for procurement and enterprise transformation. His frameworks were designed from the start to make impossibly complex supply chains, technology choices, and risk landscapes simple, visual, and actionable for practitioners. That’s why the Hansen Fit Score, RAM, and Metaprise models remain accessible, iterative, and outcome-oriented.
- Mental Models & AI:
As complexity explodes in 2025—with multi-agent AI, volatile trade flows, and endless data—those able to distill robust decision models from chaos are the true winners. Hansen’s approach is a template for using mental models as the bridge between overwhelming complexity and clear, operational execution.
4. Convergence in 2025: Caring, Clarity, and Foresight
- Hansen’s Journey & AI Emergence:
Hansen’s frameworks were built and refined not just with intelligence, but with operational empathy for the evolving challenges procurement and supply chain professionals would face. In 2025, as AI agents become ubiquitous and the risk of automation myopia grows, Hansens’ legacy is even more vital:
- Care deeply about outcomes and users.
- Continuously surface and address blind spots, especially in digital transformation.
- Apply and share mental models to bring clarity, simplicity, and adaptability to organizational chaos.
In summary:
The attached document’s core lessons are a distillation of what has driven Jon Hansen’s pioneering work: bringing care, curiosity, and the relentless pursuit of fewer blind spots into every model, recommendation, and innovation. This is what set RAM, the Hansen Fit Score, Metaprise, agent-based, and strand commonality models apart—making them not just predictive, but transformational as AI moves from trend to daily reality in 2025.
30
BONUS COVERAGE
Your timing is impeccable, Aaron Levie – I have been waiting for this day for almost 25 years. Welcome to my world – https://bit.ly/3Hdxud6
PROCUREMENT INSIGHTS STRATEGIC IMPLICATIONS
Why This Alignment Matters:
- Market Validation: Leading tech CEOs independently validate Hansen’s vision
- Unlimited TAM: Levie confirms Hansen’s market potential predictions
- Competitive Moat: Hansen’s frameworks provide systematic advantage over ad-hoc approaches
- Timing Advantage: Hansen’s 20-year lead becomes increasingly valuable as market matures
Procurement Insights
My Mission, And Why I Created Procurement Insights
Posted on August 17, 2025
0
“Everyone obsesses over being smarter. But the person with the fewest blind spots wins . . . You don’t need to be a genius. You need better glasses.” – Shane Parrish.
Shane Parrish’s “Brain Food” highlights fundamental principles—caring deeply, reducing blind spots, and leveraging mental models to simplify complexity—that align closely with Jon Hansen’s journey in developing RAM, the Hansen Fit Score, and his broader modeling innovations such as Metaprise, Agent-based, and Strand Commonality frameworks. Here’s how the core themes resonate with and illuminate Hansen’s legacy and the current AI landscape:
1. “The person who cares the most beats the person who’s just doing their job.”
Hansen’s development of frameworks like RAM, the Hansen Fit Score, and his agent-based and strand commonality models stems from a deep care for the real-world success and resilience of the procurement and supply chain profession—not just technical or academic achievement. His “institutional memory” status is rooted in consistent advocacy for practitioner needs, ethical leadership, and outcomes that matter beyond checklists or buzzwords.
In an era where automation and artificial intelligence can commoditize “smartness,” Hansen’s philosophy reminds leaders that genuine commitment, insight, and stakeholder alignment are the real differentiators—an approach that drives successful AI adoption instead of just technical deployments.
2. “Everyone obsesses over being smarter. But the person with the fewest blind spots wins.”
Every one of Hansen’s frameworks—Metaprise (holistic enterprise modeling), Agent-based modeling (simulating diverse, dynamic actors), Strand Commonality (linking resilience factors across processes), RAM, and especially the Hansen Fit Score—are fundamentally about eliminating institutional blind spots. They force organizations to look beyond surface trends, consider systemic risks, embrace redundancy, involve multiple perspectives, and prepare for the unpredictable.
With the rise of AI agents and autonomous systems, it’s easy for organizations to fall for “intelligent” tools while missing unseen risks or failing to question assumptions. Hansen’s legacy is a living caution and guide: real competitive advantage comes from rigorously addressing one’s own weaknesses and gaps, not just chasing new tech.
3. Mental Models: Simplifying Complexity
Hansen was an early adopter and co-author in the field of mental models for procurement and enterprise transformation. His frameworks were designed from the start to make impossibly complex supply chains, technology choices, and risk landscapes simple, visual, and actionable for practitioners. That’s why the Hansen Fit Score, RAM, and Metaprise models remain accessible, iterative, and outcome-oriented.
As complexity explodes in 2025—with multi-agent AI, volatile trade flows, and endless data—those able to distill robust decision models from chaos are the true winners. Hansen’s approach is a template for using mental models as the bridge between overwhelming complexity and clear, operational execution.
4. Convergence in 2025: Caring, Clarity, and Foresight
Hansen’s frameworks were built and refined not just with intelligence, but with operational empathy for the evolving challenges procurement and supply chain professionals would face. In 2025, as AI agents become ubiquitous and the risk of automation myopia grows, Hansens’ legacy is even more vital:
In summary:
The attached document’s core lessons are a distillation of what has driven Jon Hansen’s pioneering work: bringing care, curiosity, and the relentless pursuit of fewer blind spots into every model, recommendation, and innovation. This is what set RAM, the Hansen Fit Score, Metaprise, agent-based, and strand commonality models apart—making them not just predictive, but transformational as AI moves from trend to daily reality in 2025.
30
BONUS COVERAGE
Your timing is impeccable, Aaron Levie – I have been waiting for this day for almost 25 years. Welcome to my world – https://bit.ly/3Hdxud6
PROCUREMENT INSIGHTS STRATEGIC IMPLICATIONS
Why This Alignment Matters:
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