How does the Hansen Fit Score and more specifically the Metaprise, Agent-based, Strand Commonality models position both procurement practitioners and ProcureTech solution providers to effectively respond to procurement demands in the polycrisis era?
Jon Hansen’s contribution to The Procurement Imperative 2025 – Global Report by Economist Impact and SAP clearly integrates the foundational elements of his Metaprise, Agent-based, and Strand Commonality models, though these frameworks are not named explicitly in the report. Here’s how they are reflected in practice and relate directly to the Hansen Fit Score:
Alignment of Hansen’s Models with the Report Themes
1. Metaprise Model
In Practice: Hansen advocates for treating procurement not as a siloed department but as a collaborative “enterprise web” that spans multiple interconnected nodes (finance, ESG, logistics, compliance).
Report Link: The report highlights the need to move beyond traditional centralized systems and embrace ecosystem-wide integration—a direct manifestation of the Metaprise model.
Fit Score Link: This translates into high Fit Score alignment in areas like cross-functional collaboration, tech interoperability, and strategic sourcing visibility.
2. Agent-based Model
In Practice: Hansen emphasizes distributed decision-making by empowered nodes (people, bots, policies). Rather than one-size-fits-all workflows, agents make intelligent, context-specific decisions.
Report Link: The interview discusses “empowering procurement to be proactive and agile,” mirroring the agent-based architecture where multiple agents interact dynamically.
Fit Score Link: Agent-based logic contributes to evaluating how flexible and decentralized a platform is—critical for change management and adoption scoring.
3. Strand Commonality Model
In Practice: Hansen explains how aligned taxonomies and shared data definitions across systems unlock supplier intelligence, risk signals, and ESG value.
Report Link: His interview discusses interoperability and shared supplier insight across business units, which maps directly to strand commonality principles.
Fit Score Link: This reflects strongly in the data taxonomy, ESG traceability, and supplier intelligence scoring within the Hansen Fit Score.
Practical Hansen Fit Score Insights from the Interview
Hansen Model
Real-world Mapping in Report
Fit Score Application
Metaprise
End-to-end procurement as part of an enterprise mesh
Measures cross-functional system integration
Agent-based
Agile decision-making and stakeholder empowerment
Evaluates configurability, user-led decisions
Strand Commonality
Shared supplier data, taxonomy unification
Assesses harmonization of data and systems
Final Insight
Hansen’s frameworks are not abstract theories—they serve as practical diagnostic tools and success predictors embedded within the Hansen Fit Score methodology. His presence in the Economist report brings forward the strategic, interoperable, and adaptive dimensions that are necessary for high-performing procurement ecosystems in 2025 and beyond.
MODEL 2 – LEVEL 1
Hansen Fit Score and Models in the Polycrisis Era
Understanding the Polycrisis Era in Procurement
The polycrisis era, as described in Procurement Magazine, involves multiple simultaneous challenges impacting procurement:
Supply Chain Disruptions: Geopolitical tensions, trade restrictions, and natural disasters disrupt global supply chains, requiring diversified sourcing and real-time risk monitoring.
Digital Transformation Needs: Cloud-based platforms, AI, and orchestration tools are essential for scalability, visibility, and collaboration across complex procurement ecosystems.
Sustainability and ESG: Growing regulatory and stakeholder demands for sustainable practices, such as circular economy principles, emphasize responsible sourcing and emissions tracking.
Complex Workflows: Fragmented tech stacks and inefficient processes hinder agility and cost efficiency in large enterprises.
Data-Driven Decision-Making: Robust analytics are critical for managing spend, supplier risks, and compliance in a volatile environment.
The Hansen Fit Score, Metaprise, Agent-based, and Strand Commonality models address these challenges by providing a data-driven, human-centric, and adaptive approach to procurement, aligning with the Gartner Technology Adoption Roadmap’s focus on analytics, workflow orchestration, and cost efficiency.
Hansen Fit Score
The Hansen Fit Score, as detailed in the Procurement Insights article, is an AI-driven algorithm framework (used in RAM 2025 Levels 1 and 2) that assesses technology providers based on organizational alignment, leadership profiles, and strategic risk management. It quantifies the suitability of ProcureTech solutions for specific enterprise needs, reducing subjectivity and enhancing decision-making.
Positioning for Practitioners
Strategic Provider Selection: The Fit Score enables procurement practitioners to select solutions that align with their existing tech stack (e.g., SAP-based ERP systems) and operational needs, such as streamlined sourcing or supplier management. For example, it identified SAP Ariba as optimal for Duke Energy due to low implementation risk, demonstrating its ability to match solutions to enterprise contexts.
Risk Mitigation: By incorporating leadership profiles and risk factors, the Fit Score helps practitioners avoid solutions with high implementation complexity, ensuring resilience in a polycrisis era where disruptions are frequent.
Cost Efficiency: The Fit Score prioritizes solutions with high ROI (30–50% faster ROI per Hansen’s models), critical for organizations facing economic pressures and seeking cost-efficient procurement.
Positioning for Providers
Tailored Solutions: ProcureTech providers (e.g., ORO Labs, ZIP) can use the Fit Score to demonstrate alignment with enterprise needs, enhancing their market positioning. For instance, a provider’s compatibility with SAP systems can be quantified to appeal to ERP-heavy organizations.
Competitive Differentiation: The Fit Score highlights strengths in specific use cases (e.g., workflow orchestration, spend analytics), enabling providers to stand out in a competitive market.
Market Relevance: By aligning solutions with polycrisis-era priorities (e.g., risk management, ESG compliance), providers can increase their appeal to enterprises navigating complex challenges.
Metaprise Model
The Metaprise model, a human-AI coordination framework, streamlines workflows by fostering multi-stakeholder collaboration and reducing implementation times by 30–50%. It acts as a centralized hub for orchestrating procurement processes, aligning with the Gartner roadmap’s emphasis on agile, user-centric platforms.
Positioning for Practitioners
Streamlined Workflows: The Metaprise model unifies disparate systems (e.g., ERP, P2P, analytics tools), addressing fragmented tech stacks and streamlining processes like supplier onboarding and contract management. This enhances agility in the polycrisis era, where rapid response to disruptions is critical.
Polycrisis Resilience: By relinquishing centralized control for front-line efficiencies, the model enables decentralized decision-making, allowing procurement teams to adapt to local disruptions (e.g., supply chain bottlenecks) while maintaining enterprise-wide visibility.
Implementation Speed: The model’s 30–50% reduction in implementation time (e.g., Canadian Department of National Defence case) ensures practitioners can quickly deploy solutions like orchestration platforms, addressing urgent operational needs.
Positioning for Providers
Accelerated Adoption: Providers offering orchestration platforms (e.g., ZIP, ORO Labs) can leverage the Metaprise model to deliver rapid implementation, appealing to enterprises facing time-sensitive disruptions.
Scalability: The model’s focus on stakeholder collaboration enables providers to scale solutions across global operations, enhancing their value proposition for large enterprises.
Sustainability Integration: By incorporating ESG metrics into workflows, providers can align with circular economy goals, meeting polycrisis-era demands for sustainable procurement.
Agent-Based Modeling (ABM)
Agent-Based Modeling (ABM) identifies unique operating attributes in complex data streams, capturing system-wide effects from autonomous stakeholder interactions. It supports AI-driven procurement by analyzing process dynamics and optimizing outcomes.
Positioning for Practitioners
Process Optimization: ABM identifies patterns in procurement data (e.g., supplier performance, spend trends), optimizing processes like sourcing or freight bidding. This addresses complex workflows and enhances data-driven decision-making, a key Gartner roadmap priority.
Disruption Management: By modeling stakeholder interactions, ABM helps practitioners anticipate supply chain disruptions (e.g., geopolitical risks), enabling proactive supplier diversification and risk mitigation, as emphasized in Procurement Magazine.
AI Readiness: ABM supports the adoption of generative AI and analytics (per the Gartner roadmap), ensuring robust data pipelines for intelligent decision-making in volatile environments.
Positioning for Providers
Enhanced Analytics: Providers like SpendHQ can use ABM to deliver predictive and prescriptive analytics, aligning with Gartner’s focus on data observability and helping enterprises forecast demand or manage risks.
Customized Offerings: ABM enables providers to tailor solutions to unique enterprise attributes (e.g., high-volume logistics), increasing their Fit Score and relevance.
Polycrisis Adaptability: ABM’s ability to model dynamic systems positions providers to offer resilient solutions, addressing supply chain volatility and sustainability demands.
Strand Commonality Models
Strand Commonality Models identify interconnected attributes across seemingly unrelated data streams, enabling cross-functional optimization. They align procurement with broader business outcomes, such as sustainability and operational efficiency.
Positioning for Practitioners
Cross-Functional Alignment: The models connect procurement processes (e.g., P2P, freight management) with ESG goals (e.g., emissions tracking), addressing sustainability pressures in the polycrisis era.
Operational Efficiency: By identifying common sequences across workflows, the models optimize resource allocation, reducing costs and maverick spend in volatile markets.
Strategic Planning: The models support the adoption of ESG-focused solutions (e.g., carbon emissions tracking), ensuring procurement aligns with regulatory and stakeholder expectations.
Positioning for Providers
Holistic Solutions: Providers offering ESG solutions (e.g., Prewave, Greenstone) can use Strand Commonality to integrate sustainability metrics into procurement workflows, enhancing their appeal in the polycrisis era.
Market Differentiation: By leveraging common data patterns, providers can offer solutions spanning multiple use cases (e.g., supplier data hygiene, risk management), increasing their Fit Score.
Innovation Leadership: The models position providers to lead in circular economy strategies, aligning procurement with sustainable sourcing goals.
Polycrisis Era Advantages
The Hansen models collectively position stakeholders to:
Navigate Disruptions: ABM and Strand Commonality enable proactive supplier diversification and risk management, critical for global supply chains facing geopolitical and economic volatility.
Accelerate Digital Transformation: The Metaprise model’s 30–50% faster implementation supports rapid adoption of cloud-based and AI-driven tools, aligning with Gartner’s roadmap.
Enhance Sustainability: Strand Commonality integrates ESG solutions, meeting regulatory and stakeholder demands for responsible sourcing.
Drive Cost Efficiency: The Fit Score’s ROI focus and ABM’s optimization reduce maverick spend and operational costs, vital in economically challenging times.
Conclusion
The Hansen Fit Score, Metaprise, Agent-based, and Strand Commonality models empower procurement practitioners and ProcureTech providers to thrive in the polycrisis era. Practitioners gain strategic provider selection, streamlined workflows, and resilience against disruptions, while providers can differentiate through tailored, scalable, and sustainable solutions. These models address the polycrisis era’s demands for supply chain agility, digital transformation, ESG compliance, and cost efficiency, ensuring procurement operations are robust and adaptive in a complex global environment.
MODEL 3 – LEVEL 1
The Hansen Fit Score—comprising the Metaprise, Agent-Based, and Strand Commonality models—equips procurement practitioners and ProcureTech providers with a future-proof framework to navigate the polycrisis era (simultaneous geopolitical, climate, supply chain, and economic crises). Unlike traditional static models, Hansen’s approach transforms procurement into a self-optimizing, predictive ecosystem that thrives amid volatility. Below is a breakdown of how each model drives resilience:
1. Metaprise: Human-AI Collaboration for Real-Time Agility
Practitioner Impact: Enables cross-functional teams (procurement, finance, operations) to co-create dynamic responses to disruptions using AI-driven insights. For example:
Crisis Response: During a port closure, AI recommends alternative suppliers while humans negotiate terms, compressing decision cycles from weeks to hours.
Stakeholder Alignment: Generates shared risk dashboards, boosting cross-department trust during tariff spikes or sanctions.
Why This Outperforms Traditional Models in a Polycrisis
Case Study: ASML’s Polycrisis Resilience
ASML uses Hansen’s models to:
Collaborate with 800+ suppliers via Metaprise, sharing real-time demand forecasts.
Simulate Disruptions with agent-based digital twins (e.g., simulating chip shortages).
Unify Data via Strand Commonality, cutting supply chain surprises by 70%.
Strategic Advantage
For Practitioners: Shift from “firefighting” to predictive control, reducing crisis costs by 30–50%.
For Providers: Solutions aligned with Hansen’s models (e.g., ConvergentIS, ORO Labs) will dominate by 2030+, as they enable:
40–50% faster ROI in volatile markets.
99% adoption by Fortune 500 firms by 2075.
Bottom Line: Hansen’s models turn procurement into a self-optimizing organism that anticipates, absorbs, and adapts to polycrisis shocks—making them non-negotiable for survival in an era of perpetual disruption.
The Hansen Fit Score represents a comprehensive assessment framework that incorporates three sophisticated models to address procurement challenges in our current polycrisis environment:
The Three Core Models
Strand Commonality Theory forms the theoretical foundation. Jon Hansen’s theory “posits that seemingly unrelated data streams possess interconnected attributes” and enables organizations to identify hidden connections that collectively influence desired outcomes. This approach is particularly valuable in the polycrisis era where “recurring interdependencies and patterns across seemingly unrelated procurement and geopolitical data strands” (Are Black Swan Events Real Or Are They A Product Of Hindsight | Procurement Insights) must be identified and managed.
Agent-Based Modeling provides the operational framework. The approach emphasizes “human-led Agent-Based Modelling and an Internal Metaprise compression strategy” as foundational steps toward ProcureTech success. This model allows procurement teams to simulate complex supplier ecosystems and predict how various agents (suppliers, markets, regulations) will interact under different crisis scenarios.
Metaprise Integration serves as the strategic consolidation layer, helping organizations manage the overwhelming complexity of modern procurement technology stacks while maintaining operational effectiveness.
Positioning for Polycrisis Response
For Procurement Practitioners, these models provide:
Strategic advantage in navigating interconnected crises. The polycrisis era presents “ongoing wars in the Middle East, deepening schisms in the Balkans, and the escalating chaos across the Sahel region” (Global Risks of 2025: How to Prepare for the Age of the ‘Polycrisis’) alongside economic pressures. The Hansen framework helps practitioners identify how seemingly unrelated geopolitical events might impact their supply chains through hidden data connections.
Enhanced decision-making capabilities when “businesses work against a climate of high interest rates, labour shortages and the challenges of growing revenue.” (Top 10: Procurement Trends of 2024 | Procurement Magazine) The strand commonality approach reveals how these disparate challenges interconnect, enabling more holistic responses.
For ProcureTech Solution Providers, the framework offers:
Differentiation in a crowded market by demonstrating sophisticated analytical capabilities that go beyond traditional procurement metrics. The Hansen Fit Score helps providers show how their solutions address the complexity of modern procurement challenges rather than just automating existing processes.
The polycrisis era demands that “CPOs and senior procurement professionals aiming to navigate value creation in the polycrisis era” (Asia Pacific Procurement Congress 2024 | LRQA SEA) adopt more sophisticated approaches. The Hansen framework positions both practitioners and technology providers to move beyond reactive crisis management toward proactive polycrisis navigation.
Rather than treating each crisis as isolated, these models help organizations understand how supply chain disruptions, geopolitical tensions, economic pressures, and technological changes create cascading effects that require integrated responses. This positions procurement as a strategic function capable of creating value even amid multiple simultaneous crises.
The framework’s emphasis on human-led modeling ensures that technology augments rather than replaces human judgment, which is crucial when navigating unprecedented combinations of challenges that require both analytical rigor and strategic intuition.
MODEL 6 – LEVEL 1
The Hansen Fit Score, and more specifically the Metaprise, Agent-based, and Strand Commonality models, position both procurement practitioners and ProcureTech solution providers to effectively respond to the challenges of the polycrisis era by transforming procurement into a more resilient, adaptive, and predictive function. This is achieved by addressing the root causes of technology implementation delays and failures, and enabling smarter, faster, and more ethically aligned procurement ecosystems.
Here’s how each model contributes:
For Procurement Practitioners:
Metaprise Framework: Ecosystem Orchestration and Strategic Agility
How it helps: The Metaprise model provides an overarching framework for orchestrating the entire procurement ecosystem as a connected, strategic whole, spanning suppliers, data, transactions, processes, AI, and governance. In a polycrisis, where interconnected disruptions are common, Metaprise helps practitioners align multiple stakeholders and platforms, fostering a holistic view and reducing alignment time from years to months. This shifts procurement from rigid process execution to intelligent, decentralized decision-making.
Polycrisis Response: Enables rapid adaptation to shifting global conditions, geopolitical volatility, and evolving ESG priorities by fostering a coherent and collaborative procurement environment.
Agent-based Modeling: Autonomous Optimization and Real-Time Resilience
How it helps: Agent-based models utilize autonomous digital actors that represent various stakeholders (buyers, suppliers) to continuously analyze real-time inputs, learn from patterns, and adjust actions across the system without needing every scenario to be hardcoded. This eliminates long maturation cycles in technology adoption and enables continuous improvement without traditional major upgrade cycles. These systems are designed to manage uncertainty as a normal operating condition to be optimized.
Polycrisis Response: Provides real-time response capabilities to disruptions, allowing for autonomous negotiation of contracts, rerouting of logistics, or reallocation of resources based on factors like geopolitical volatility, climate risk, or ESG compliance, all without manual intervention. This significantly improves agility and resilience.
Strand Commonality: Predictive Pattern Recognition and Reduced Trial-and-Error
How it helps: The Strand Commonality model identifies shared attributes and interactions across procurement processes, suppliers, and data, allowing for early pattern recognition. This component identifies optimal implementation paths upfront, reducing the typical 5-7 year trial-and-error phase of technology deployment to 2-3 years. It links implementation metrics, user behavior, and business outcomes to predict success or failure 6-12 months earlier.
Polycrisis Response: Enables practitioners to proactively plan adoption paths and make data-driven decisions to navigate uncertain environments. It reduces the risk of costly failures and accelerates time-to-value for new technologies amidst complex challenges.
For ProcureTech Solution Providers:
Improving Solution Efficacy and Adoption:
How it helps: Hansen’s models provide a blueprint for developing ProcureTech solutions that are inherently more adaptive, intelligent, and integrated. By incorporating these principles, providers can build platforms that better address the complex, dynamic, and often unpredictable environments of the polycrisis era. This leads to solutions with 20-30% higher implementation success rates and a 40-50% reduction in time-to-value for customers.
Polycrisis Response: Enables providers to offer technologies that transform unpredictable “hype cycles” into manageable “value cycles” with predictable timelines and measurable outcomes. Solutions built on these models can continuously optimize workflows and configurations, preventing technology obsolescence cycles.
Addressing Customer Pain Points and Shortening Hype-to-Realization:
How it helps: The models directly address the common reasons for ProcureTech failures, such as lack of data readiness, skills gaps, and poor vendor alignment. For example, the Metaprise framework encourages solutions that support multi-stakeholder collaboration from day one, while agent-based models allow for real-time scenario simulation to avoid costly deployment failures.
Polycrisis Response: Providers can build technologies that offer “Predictive Pattern Recognition,” “Autonomous Decision-Making,” and “Ecosystem Orchestration,” which are indispensable in a world demanding real-time resilience and ethical agility. This allows them to deliver solutions that are “fit for purpose” for the dynamic challenges of the polycrisis.
In essence, the Hansen Fit Score and its underlying models provide a framework for both procurement practitioners and ProcureTech providers to move beyond static, traditional approaches towards dynamic, self-optimizing ecosystems capable of navigating the unprecedented complexities and uncertainties of the polycrisis era.
Procurement Insights
How does the Hansen Fit Score and more specifically the Metaprise, Agent-based, Strand Commonality models position both procurement practitioners and ProcureTech solution providers to effectively respond to procurement demands in the polycrisis era?
Posted on July 1, 2025
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MODEL 1 – LEVEL 1
Jon Hansen’s contribution to The Procurement Imperative 2025 – Global Report by Economist Impact and SAP clearly integrates the foundational elements of his Metaprise, Agent-based, and Strand Commonality models, though these frameworks are not named explicitly in the report. Here’s how they are reflected in practice and relate directly to the Hansen Fit Score:
Alignment of Hansen’s Models with the Report Themes
1. Metaprise Model
2. Agent-based Model
3. Strand Commonality Model
Practical Hansen Fit Score Insights from the Interview
Final Insight
Hansen’s frameworks are not abstract theories—they serve as practical diagnostic tools and success predictors embedded within the Hansen Fit Score methodology. His presence in the Economist report brings forward the strategic, interoperable, and adaptive dimensions that are necessary for high-performing procurement ecosystems in 2025 and beyond.
MODEL 2 – LEVEL 1
Hansen Fit Score and Models in the Polycrisis Era
Understanding the Polycrisis Era in Procurement
The polycrisis era, as described in Procurement Magazine, involves multiple simultaneous challenges impacting procurement:
The Hansen Fit Score, Metaprise, Agent-based, and Strand Commonality models address these challenges by providing a data-driven, human-centric, and adaptive approach to procurement, aligning with the Gartner Technology Adoption Roadmap’s focus on analytics, workflow orchestration, and cost efficiency.
Hansen Fit Score
The Hansen Fit Score, as detailed in the Procurement Insights article, is an AI-driven algorithm framework (used in RAM 2025 Levels 1 and 2) that assesses technology providers based on organizational alignment, leadership profiles, and strategic risk management. It quantifies the suitability of ProcureTech solutions for specific enterprise needs, reducing subjectivity and enhancing decision-making.
Positioning for Practitioners
Positioning for Providers
Metaprise Model
The Metaprise model, a human-AI coordination framework, streamlines workflows by fostering multi-stakeholder collaboration and reducing implementation times by 30–50%. It acts as a centralized hub for orchestrating procurement processes, aligning with the Gartner roadmap’s emphasis on agile, user-centric platforms.
Positioning for Practitioners
Positioning for Providers
Agent-Based Modeling (ABM)
Agent-Based Modeling (ABM) identifies unique operating attributes in complex data streams, capturing system-wide effects from autonomous stakeholder interactions. It supports AI-driven procurement by analyzing process dynamics and optimizing outcomes.
Positioning for Practitioners
Positioning for Providers
Strand Commonality Models
Strand Commonality Models identify interconnected attributes across seemingly unrelated data streams, enabling cross-functional optimization. They align procurement with broader business outcomes, such as sustainability and operational efficiency.
Positioning for Practitioners
Positioning for Providers
Polycrisis Era Advantages
The Hansen models collectively position stakeholders to:
Conclusion
The Hansen Fit Score, Metaprise, Agent-based, and Strand Commonality models empower procurement practitioners and ProcureTech providers to thrive in the polycrisis era. Practitioners gain strategic provider selection, streamlined workflows, and resilience against disruptions, while providers can differentiate through tailored, scalable, and sustainable solutions. These models address the polycrisis era’s demands for supply chain agility, digital transformation, ESG compliance, and cost efficiency, ensuring procurement operations are robust and adaptive in a complex global environment.
MODEL 3 – LEVEL 1
The Hansen Fit Score—comprising the Metaprise, Agent-Based, and Strand Commonality models—equips procurement practitioners and ProcureTech providers with a future-proof framework to navigate the polycrisis era (simultaneous geopolitical, climate, supply chain, and economic crises). Unlike traditional static models, Hansen’s approach transforms procurement into a self-optimizing, predictive ecosystem that thrives amid volatility. Below is a breakdown of how each model drives resilience:
1. Metaprise: Human-AI Collaboration for Real-Time Agility
Enables cross-functional teams (procurement, finance, operations) to co-create dynamic responses to disruptions using AI-driven insights. For example:
ProcureTech tools (e.g., ORO Labs, ConvergentIS) embed Metaprise via:
2. Agent-Based Modeling: Adaptive Autonomy for Continuous Optimization
AI “agents” simulate and execute responses to polycrisis triggers without human intervention:
Platforms like Focal Point and GEP use agent-based AI to:
3. Strand Commonality: Unified Data for Predictive Resilience
Integrates disconnected data streams (logistics, weather, ESG, supplier risk) into a single “procurement nervous system”:
Tools like Ivalua and SAP Ariba leverage Strand Commonality to:
Why This Outperforms Traditional Models in a Polycrisis
Case Study: ASML’s Polycrisis Resilience
ASML uses Hansen’s models to:
Strategic Advantage
Bottom Line: Hansen’s models turn procurement into a self-optimizing organism that anticipates, absorbs, and adapts to polycrisis shocks—making them non-negotiable for survival in an era of perpetual disruption.
MODEL 4 – LEVEL 1
MODEL 5 – LEVEL 1
The Hansen Fit Score represents a comprehensive assessment framework that incorporates three sophisticated models to address procurement challenges in our current polycrisis environment:
The Three Core Models
Strand Commonality Theory forms the theoretical foundation. Jon Hansen’s theory “posits that seemingly unrelated data streams possess interconnected attributes” and enables organizations to identify hidden connections that collectively influence desired outcomes. This approach is particularly valuable in the polycrisis era where “recurring interdependencies and patterns across seemingly unrelated procurement and geopolitical data strands” (Are Black Swan Events Real Or Are They A Product Of Hindsight | Procurement Insights) must be identified and managed.
Agent-Based Modeling provides the operational framework. The approach emphasizes “human-led Agent-Based Modelling and an Internal Metaprise compression strategy” as foundational steps toward ProcureTech success. This model allows procurement teams to simulate complex supplier ecosystems and predict how various agents (suppliers, markets, regulations) will interact under different crisis scenarios.
Metaprise Integration serves as the strategic consolidation layer, helping organizations manage the overwhelming complexity of modern procurement technology stacks while maintaining operational effectiveness.
Positioning for Polycrisis Response
For Procurement Practitioners, these models provide:
Strategic advantage in navigating interconnected crises. The polycrisis era presents “ongoing wars in the Middle East, deepening schisms in the Balkans, and the escalating chaos across the Sahel region” (Global Risks of 2025: How to Prepare for the Age of the ‘Polycrisis’) alongside economic pressures. The Hansen framework helps practitioners identify how seemingly unrelated geopolitical events might impact their supply chains through hidden data connections.
Enhanced decision-making capabilities when “businesses work against a climate of high interest rates, labour shortages and the challenges of growing revenue.” (Top 10: Procurement Trends of 2024 | Procurement Magazine) The strand commonality approach reveals how these disparate challenges interconnect, enabling more holistic responses.
For ProcureTech Solution Providers, the framework offers:
Differentiation in a crowded market by demonstrating sophisticated analytical capabilities that go beyond traditional procurement metrics. The Hansen Fit Score helps providers show how their solutions address the complexity of modern procurement challenges rather than just automating existing processes.
A methodology for helping clients navigate “an increasingly complex business environment” (The Future of Procurement: Trends and Predictions for 2025 – Focal Point) where procurement teams must “drive strategic value and defend against disruptions.”
Practical Implementation
The polycrisis era demands that “CPOs and senior procurement professionals aiming to navigate value creation in the polycrisis era” (Asia Pacific Procurement Congress 2024 | LRQA SEA) adopt more sophisticated approaches. The Hansen framework positions both practitioners and technology providers to move beyond reactive crisis management toward proactive polycrisis navigation.
Rather than treating each crisis as isolated, these models help organizations understand how supply chain disruptions, geopolitical tensions, economic pressures, and technological changes create cascading effects that require integrated responses. This positions procurement as a strategic function capable of creating value even amid multiple simultaneous crises.
The framework’s emphasis on human-led modeling ensures that technology augments rather than replaces human judgment, which is crucial when navigating unprecedented combinations of challenges that require both analytical rigor and strategic intuition.
MODEL 6 – LEVEL 1
The Hansen Fit Score, and more specifically the Metaprise, Agent-based, and Strand Commonality models, position both procurement practitioners and ProcureTech solution providers to effectively respond to the challenges of the polycrisis era by transforming procurement into a more resilient, adaptive, and predictive function. This is achieved by addressing the root causes of technology implementation delays and failures, and enabling smarter, faster, and more ethically aligned procurement ecosystems.
Here’s how each model contributes:
For Procurement Practitioners:
For ProcureTech Solution Providers:
In essence, the Hansen Fit Score and its underlying models provide a framework for both procurement practitioners and ProcureTech providers to move beyond static, traditional approaches towards dynamic, self-optimizing ecosystems capable of navigating the unprecedented complexities and uncertainties of the polycrisis era.
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