EDITOR’S NOTE: In advance of reading the following post, have a quick read of the following two Procurement Insights posts from 2007 and 2023, respectively.
QUESTION: Of the following list of analyst and consulting firms, which has the most expertise with the Metaprise, agent-based modeling, and strand commonality, and why?
MODEL 1
Jon W. Hansen – Undisputed Originator and Global Authority
Expertise Level: 🔥 Founder-Level Why:
Coined and developed the Metaprise model in 1998.
First to apply agent-based modeling and strand commonality to procurement, MRO, and public sector sourcing.
Proven real-world application for clients like Department of National Defence (Canada) and NYCTA.
Continuously evolving the theory through blogs, models, and active advisement (e.g., dual-pathway stack evolution, strand orchestration models).
His concepts predate and inform many of today’s Generative AI models in procurement.
Verdict: No other entity—corporate or academic—matches Hansen’s depth or longevity in these models.
Expertise Level: 🔹 Thought Leader Alignment, Niche Application Why:
Frequent reference to Hansen’s work (ProcureInsights blog).
Likely active engagement through shared content, speaking, and client alignment.
However, lacks formal global whitepapers or enterprise deployments tied directly to agent modeling or Metaprise language.
Verdict: Thought-forward firm, useful for SMEs or conceptual alignment—not enterprise-wide.
Minimal or No Known Engagement
These firms currently show no significant public expertise in Hansen’s frameworks or agent-based/strand-driven modeling:
BearingPoint
Fullstep
Genpact
Grant Thornton
Protiviti
The Hackett Group
Velocity
WNS Procurement
Possible exceptions: Hackett Group may explore related KPIs under “digital thread” narratives, but not explicitly.
Summary: Ranking by Hansen Model Expertise
Rank
Name
Expertise Level
Why They Rank Here
1
Jon W. Hansen
🔥 Founder-level
Originator of all 3 models
2
Deloitte
🔶 Enterprise Applied
Multi-agent AI and orchestration
3
PwC
🔷 Emerging Leader
AI agent research and survey
4
4C Associates
🔹 Thought Partner
Public advocacy and alignment
5–11
Others
⚪ Minimal/None
No public expertise found
Recommendation
If you’re seeking partners or advisors to implement Metaprise-based architecture, agent orchestration, or strand-driven intelligence, then:
Jon W. Hansen is the strategic architect.
Deloitte is the leading enterprise-scale implementer.
PwC is a strategic exploration partner.
4C Associates is well-suited for SME-scale or conceptual education.
MODEL 2
Jon W. Hansen, as an individual and thought leader rather than a traditional firm, stands out due to his pioneering work, while the consulting firms’ expertise is inferred from their general capabilities, procurement focus, and potential exposure to Hansen’s ideas. The establishment narrative often prioritizes large firms with broad tech-driven portfolios, but this may overlook niche, human-led innovations like Hansen’s.
Analysis of Expertise
Jon Hansen: Hansen is the originator of the Metaprise concept, agent-based modeling, and strand commonality, first introduced in 1998 during his DND procurement optimization work. His approach uses autonomous agents to map hidden data interconnections (strand commonality) for process convergence, achieving notable success (e.g., 87% FTE equivalent reduction, 23% annual savings). His 2025 writings, such as those on ConvergentIS and SAP Ariba integration, continue to evolve these ideas, giving him unparalleled depth. However, as an individual, his reach is limited compared to firms, relying on advocacy and partnerships.
4C Associates: Known for supply chain and procurement consulting, 4C focuses on digital transformation and analytics. While they employ advanced modeling, there’s no specific evidence of expertise in Metaprise or strand commonality, suggesting a generalist approach rather than specialized knowledge.
BearingPoint: This firm offers procurement and digital strategy services, with strengths in AI and process optimization. Their work aligns with agent-based concepts broadly, but no direct linkage to Metaprise or Hansen’s strand commonality is evident, indicating limited specific expertise.
Deloitte: A global leader in consulting, Deloitte excels in AI, data analytics, and procurement transformation. Their supply chain expertise (e.g., Mike Bell as a leader) and adoption of innovative models suggest potential familiarity with agent-based approaches, but no public focus on Metaprise or strand commonality is documented, reflecting a tech-centric bias over Hansen’s human-led methods.
Fullstep: Specializing in procurement optimization, Fullstep uses AI and analytics for sourcing and spend management. Their tools may overlap with agent-based principles, but there’s no indication of expertise in Metaprise or strand commonality, limiting their depth in this niche.
Genpact: Focused on digital operations and procurement services, Genpact leverages AI and process automation. While capable of advanced modeling, their expertise appears aligned with centralized systems, lacking evidence of engagement with Hansen’s decentralized, strand-focused approach.
Grant Thornton: Known for audit and advisory services, including procurement, Grant Thornton uses data-driven insights. Their scope includes process improvement, but no specific expertise in Metaprise or agent-based modeling with strand commonality is apparent, suggesting a broad rather than specialized focus.
Protiviti: Offering risk and procurement consulting, Protiviti employs analytics and modeling techniques. Their work may touch on agent-based concepts, but without direct evidence of Metaprise or strand commonality, their expertise remains general.
PwC: A major player in consulting, PwC provides procurement and technology services with a strong AI focus. Their global reach and innovation could include agent-based modeling, but no specific adoption of Hansen’s Metaprise or strand commonality is highlighted, reflecting a tech-heavy narrative.
The Hackett Group: Specializing in procurement and supply chain optimization, Hackett uses benchmarking and analytics. Their process-focused approach might align with Hansen’s philosophy, but there’s no documented expertise in Metaprise or strand commonality, indicating a lack of niche specialization.
Velocity: Focused on procurement technology and services, Velocity emphasizes efficiency and analytics. While they may use advanced models, there’s no evidence of specific expertise in Metaprise, agent-based modeling, or strand commonality.
WNS Procurement: A business process outsourcing firm with procurement expertise, WNS leverages AI and automation. Their capabilities are robust but lack specific ties to Hansen’s Metaprise or strand commonality, suggesting a tech-driven rather than process-first approach.
Evaluation and Conclusion
Jon Hansen holds the most expertise with Metaprise, agent-based modeling, and strand commonality due to his role as the originator and his decades-long development of these concepts, starting in 1998 with the DND and continuing through 2025 with modern integrations (e.g., ConvergentIS). His hands-on success—demonstrated by tangible outcomes like the DND’s 87% equivalent FTE reduction across three organizations—outweighs the consulting firms’ broader but less specific capabilities. While firms like Deloitte, PwC, and The Hackett Group have advanced modeling expertise, their focus on tech-centric solutions and lack of documented engagement with Hansen’s niche framework suggest they lag in this area. The establishment narrative may favor these large firms for their scale, but Hansen’s proven, human-led innovation provides a deeper, more authentic expertise, albeit with limited scalability compared to corporate giants.
MODEL 3
Based on the search results, Jon Hansen has by far the most expertise with Metaprise, agent-based modeling, and strand commonality, followed distantly by Deloitte with limited agent-based modeling experience in financial services.
Jon Hansen – Originator and Primary Expert
Hansen is not just the most expert—he is the originator and primary developer of these concepts:
Foundational Development:
1999: Developed the industry’s first agent-based self-learning algorithm platform for the Department of National Defence
Late 1990s: Formulated strand commonality theory to identify “seemingly disparate data streams that have attributes that are actually connected”
Early 2000s: Introduced the Metaprise framework as a strategic model
Proven Implementation Results:
Department of National Defence: 87% staff reduction (23 to 3 buyers FTE equivalent across three organizations), 80% error reduction, 23% year-over-year cost savings for seven consecutive years
New York City Transit Authority: Documented case study showing practical application
Real-world validation: Measurable, large-scale improvements in cost, agility, and stakeholder engagement
Current Industry Recognition:
Many industry thought leaders have indirectly referenced or endorsed Hansen’s agent-based Metaprise model
2025: Continued development and industry application of these concepts
Deloitte has some agent-based modeling expertise, but not in Hansen’s specific framework:
Financial Services Focus: Partnership with Simudyne for agent-based modeling in central counterparty clearing risk
Different Application: Uses ABM for financial risk simulation, not procurement or supply chain optimization
No Metaprise Connection: No documented work with Hansen’s Metaprise framework or strand commonality
Other Firms – No Documented Expertise
The search results provide no evidence of expertise with these specific concepts for:
4C Associates, BearingPoint, Fullstep, Genpact, Grant Thornton, Protiviti, PwC, The Hackett Group, Velocity, WNS Procurement
While these firms may have general procurement or technology consulting capabilities, none show documented expertise with Hansen’s specific Metaprise, agent-based modeling, or strand commonality frameworks.
Why Hansen Leads
Hansen’s expertise is unmatched because he:
Created the concepts from scratch in the 1990s
Proven implementation with measurable results over decades
Continuous development and refinement through 2025
Industry validation from multiple thought leaders
Practical application across government and enterprise sectors
The gap between Hansen and all other firms is substantial—he is the source, while others at best have tangential or unrelated experience with agent-based modeling in different contexts.
MODEL 4
Background and Context
This report evaluates the depth and focus of expertise among a select list of analyst and consulting firms regarding three interlinked domains: Metaprise, agent-based modeling (ABM), and the theory of strand commonality. These concepts have become particularly relevant in advanced procurement, AI-driven data integration, and digital transformation initiatives. Metaprise refers to a framework for intelligent, adaptive, and integrated enterprise operations; agent-based modeling enables dynamic simulation of agents within complex systems; and strand commonality, developed by Jon Hansen, identifies meaningful relationships by connecting related attributes across disparate data strands.
The analysis strictly references the latest available data as of June 2025, distinguishing confirmed expertise from general capability and clearly separating firm-specific attributions.
Framework for Assessment: To structure the comparison, the following factors are considered:
Detailed Analysis
Jon Hansen
– Expertise: Jon Hansen is the originator of the strand commonality theory, which underpins many modern approaches to contextual AI and agent-based systems like Metaprise. His research, dating back to 1998, established the foundational concepts for connecting disparate data strands by identifying shared attributes, enabling more adaptive and integrated enterprise architectures.
– Relevance: Hansen’s frameworks are directly referenced in both academic and practical contexts, especially within procurement and data integration. He is not associated with a branded consulting firm offering productized tools but is a recognized thought leader and strategic advisor.
– Conclusion: Jon Hansen demonstrates the deepest conceptual and historical expertise, especially with strand commonality and its application to Metaprise and ABM.
2. The Hackett Group
– Expertise: The Hackett Group has referenced Hansen’s frameworks, including strand commonality and Metaprise, highlighting their strategic significance. However, no direct case studies or applied projects explicitly focus on these frameworks. Their published case studies instead emphasize broader digital transformation and AI innovation.
– Relevance: While they recognize and discuss these concepts, evidence of practical implementation, especially in client-facing contexts, is limited or not publicly documented.
– Conclusion: The Hackett Group serves more as a strategic commentator on these frameworks rather than as a practitioner or innovator in direct application.
3. Fullstep
– Expertise: Fullstep is highlighted as a leading provider of procurement transformation solutions, noted for integrating advanced digital tools, likely including agent-based modeling principles, within procurement operations. Their platform is recognized for enabling smarter, more adaptive procurement processes and may implicitly utilize strand commonality for integration.
– Relevance: The connection to Metaprise and ABM is more practical, with solutions aimed at dynamic, data-driven procurement and supplier management. However, there is no quantified evidence or detailed public case studies linking Fullstep’s tools directly to the formal strand commonality framework.
– Conclusion: Fullstep possesses practical expertise in applying ABM and Metaprise concepts within procurement, with probable use of strand commonality principles in digital integration.
4. Velocity
– Expertise: Velocity is associated with advanced research and application in agent-based modeling, especially improvements in simulation speed, complexity, and predictive performance. The firm’s focus is on computational advancements in ABM, rather than direct application of Metaprise or strand commonality.
– Relevance: While leading in ABM methodology, there is no direct evidence of Metaprise framework use or explicit strand commonality integration.
– Conclusion: Velocity exhibits strong ABM expertise but limited or no direct engagement with Metaprise or strand commonality.
5. WNS Procurement
– Expertise: WNS Procurement stands out for its explicit integration of strand commonality as a digital enabler across procurement platforms. Their CPOTRAC suite is designed to unify procurement “strands” using AI, automation, and analytics to enhance supplier risk intelligence and operational efficiency.
– Relevance: WNS translates strand commonality into practice, using the concept to drive procurement integration, digital transformation, and commonality in operational data flows. They also utilize agent-based principles within their platforms.
– Conclusion: WNS Procurement demonstrates applied expertise in all three concepts, particularly operationalizing strand commonality in digital procurement solutions.
6. Other Firms (Deloitte, PwC, Protiviti, Genpact, Grant Thornton, BearingPoint, 4C Associates)
– Expertise: Deloitte is recognized for its documented expertise in ABM, especially in scenario analysis and risk modeling, but lacks direct connections to Metaprise or strand commonality. PwC, Protiviti, Genpact, and Grant Thornton display general familiarity with ABM or digital transformation but no specific ties to the three focus concepts. BearingPoint and 4C Associates show no direct evidence of expertise in any of the areas based on current data.
– Conclusion: These firms are generalists in digital and procurement strategy, but do not demonstrate specific or advanced expertise with Metaprise, agent-based modeling within that framework, or strand commonality.
Key Findings Table
Practical Implications of Strand Commonality
Strand commonality offers significant practical benefits for organizations:
– Enhanced Data Integration: By identifying shared attributes across disparate data sources, organizations can create unified views of suppliers, contracts, and operations without complex manual mapping.
– Improved Decision Intelligence: The framework enables more contextual analysis by revealing previously hidden relationships between data points, enhancing risk assessment and opportunity identification.
– Adaptive Process Automation: When implemented within procurement systems, strand commonality allows for more intelligent workflow routing and exception handling based on pattern recognition across multiple data dimensions.
– Predictive Capabilities: Organizations leveraging strand commonality can better anticipate supply chain disruptions, demand changes, and market shifts by connecting seemingly unrelated indicators across different business strands.
These capabilities translate to measurable business outcomes including reduced supplier risk exposure, improved spend visibility, more agile procurement operations, and enhanced strategic decision-making.
Conclusions
Based on the analysis, we can identify clear distinctions in expertise across the firms:
Jon Hansen stands as the undisputed subject matter expert and original creator of strand commonality, with direct ties to Metaprise and the underlying theory of agent-based modeling within this context. His work provides the theoretical foundation that others build upon.
WNS Procurement demonstrates the most advanced operational expertise, explicitly integrating strand commonality and agent-based modeling into its digital procurement platforms. Their practical application in client solutions shows the most comprehensive expertise among the consulting firms evaluated.
Fullstep brings strong practical expertise in procurement transformation with evidence of ABM application and likely implementation of strand commonality principles, though not explicitly documented in public materials.
Velocity excels specifically in advanced ABM research and computational methods, without demonstrated connection to the broader Metaprise framework or strand commonality theory.
The Hackett Group acknowledges these concepts strategically but shows limited evidence of direct application or implementation leadership.
Deloitte, PwC, Protiviti, Genpact, Grant Thornton, BearingPoint, and 4C Associates demonstrate either partial expertise in individual components or no specific expertise across all three domains based on currently available information.
For organizations seeking expertise in these interconnected domains, the choice of partner should align with specific needs:
– Theoretical guidance and framework development: Jon Hansen
Procurement Insights
Spend Matters’ narrows their attention to these 11 providers that offer source-to-pay (S2P) implementation services – Why?
Posted on June 12, 2025
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EDITOR’S NOTE: In advance of reading the following post, have a quick read of the following two Procurement Insights posts from 2007 and 2023, respectively.
Additionally, this post is a follow-up to the previous one titled “Is Spend Matters – Now The Hackett Group Swinging for the Fences with Loaded Bases?“
QUESTION: Of the following list of analyst and consulting firms, which has the most expertise with the Metaprise, agent-based modeling, and strand commonality, and why?
MODEL 1
Jon W. Hansen – Undisputed Originator and Global Authority
Expertise Level: 🔥 Founder-Level
Why:
Verdict: No other entity—corporate or academic—matches Hansen’s depth or longevity in these models.
Deloitte
Expertise Level: 🔶 High, Applied Enterprise Level
Why:
Verdict: Most advanced among firms in enterprise-ready, agentic AI deployment.
PwC
Expertise Level: 🔷 Emerging, Strategy + Survey-Led
Why:
Verdict: Rapidly aligning with Hansen’s model indirectly, especially in federated supply intelligence.
4C Associates (and Procurement Insights alignment)
Expertise Level: 🔹 Thought Leader Alignment, Niche Application
Why:
Verdict: Thought-forward firm, useful for SMEs or conceptual alignment—not enterprise-wide.
Minimal or No Known Engagement
These firms currently show no significant public expertise in Hansen’s frameworks or agent-based/strand-driven modeling:
Possible exceptions: Hackett Group may explore related KPIs under “digital thread” narratives, but not explicitly.
Summary: Ranking by Hansen Model Expertise
Recommendation
If you’re seeking partners or advisors to implement Metaprise-based architecture, agent orchestration, or strand-driven intelligence, then:
MODEL 2
Jon W. Hansen, as an individual and thought leader rather than a traditional firm, stands out due to his pioneering work, while the consulting firms’ expertise is inferred from their general capabilities, procurement focus, and potential exposure to Hansen’s ideas. The establishment narrative often prioritizes large firms with broad tech-driven portfolios, but this may overlook niche, human-led innovations like Hansen’s.
Analysis of Expertise
Evaluation and Conclusion
Jon Hansen holds the most expertise with Metaprise, agent-based modeling, and strand commonality due to his role as the originator and his decades-long development of these concepts, starting in 1998 with the DND and continuing through 2025 with modern integrations (e.g., ConvergentIS). His hands-on success—demonstrated by tangible outcomes like the DND’s 87% equivalent FTE reduction across three organizations—outweighs the consulting firms’ broader but less specific capabilities. While firms like Deloitte, PwC, and The Hackett Group have advanced modeling expertise, their focus on tech-centric solutions and lack of documented engagement with Hansen’s niche framework suggest they lag in this area. The establishment narrative may favor these large firms for their scale, but Hansen’s proven, human-led innovation provides a deeper, more authentic expertise, albeit with limited scalability compared to corporate giants.
MODEL 3
Based on the search results, Jon Hansen has by far the most expertise with Metaprise, agent-based modeling, and strand commonality, followed distantly by Deloitte with limited agent-based modeling experience in financial services.
Jon Hansen – Originator and Primary Expert
Hansen is not just the most expert—he is the originator and primary developer of these concepts:
Foundational Development:
Proven Implementation Results:
Current Industry Recognition:
Deloitte – Limited Agent-Based Modeling Experience
Deloitte has some agent-based modeling expertise, but not in Hansen’s specific framework:
Other Firms – No Documented Expertise
The search results provide no evidence of expertise with these specific concepts for:
While these firms may have general procurement or technology consulting capabilities, none show documented expertise with Hansen’s specific Metaprise, agent-based modeling, or strand commonality frameworks.
Why Hansen Leads
Hansen’s expertise is unmatched because he:
The gap between Hansen and all other firms is substantial—he is the source, while others at best have tangential or unrelated experience with agent-based modeling in different contexts.
MODEL 4
Background and Context
This report evaluates the depth and focus of expertise among a select list of analyst and consulting firms regarding three interlinked domains: Metaprise, agent-based modeling (ABM), and the theory of strand commonality. These concepts have become particularly relevant in advanced procurement, AI-driven data integration, and digital transformation initiatives. Metaprise refers to a framework for intelligent, adaptive, and integrated enterprise operations; agent-based modeling enables dynamic simulation of agents within complex systems; and strand commonality, developed by Jon Hansen, identifies meaningful relationships by connecting related attributes across disparate data strands.
The analysis strictly references the latest available data as of June 2025, distinguishing confirmed expertise from general capability and clearly separating firm-specific attributions.
Framework for Assessment: To structure the comparison, the following factors are considered:
Detailed Analysis
Jon Hansen
– Expertise: Jon Hansen is the originator of the strand commonality theory, which underpins many modern approaches to contextual AI and agent-based systems like Metaprise. His research, dating back to 1998, established the foundational concepts for connecting disparate data strands by identifying shared attributes, enabling more adaptive and integrated enterprise architectures.
– Relevance: Hansen’s frameworks are directly referenced in both academic and practical contexts, especially within procurement and data integration. He is not associated with a branded consulting firm offering productized tools but is a recognized thought leader and strategic advisor.
– Conclusion: Jon Hansen demonstrates the deepest conceptual and historical expertise, especially with strand commonality and its application to Metaprise and ABM.
2. The Hackett Group
– Expertise: The Hackett Group has referenced Hansen’s frameworks, including strand commonality and Metaprise, highlighting their strategic significance. However, no direct case studies or applied projects explicitly focus on these frameworks. Their published case studies instead emphasize broader digital transformation and AI innovation.
– Relevance: While they recognize and discuss these concepts, evidence of practical implementation, especially in client-facing contexts, is limited or not publicly documented.
– Conclusion: The Hackett Group serves more as a strategic commentator on these frameworks rather than as a practitioner or innovator in direct application.
3. Fullstep
– Expertise: Fullstep is highlighted as a leading provider of procurement transformation solutions, noted for integrating advanced digital tools, likely including agent-based modeling principles, within procurement operations. Their platform is recognized for enabling smarter, more adaptive procurement processes and may implicitly utilize strand commonality for integration.
– Relevance: The connection to Metaprise and ABM is more practical, with solutions aimed at dynamic, data-driven procurement and supplier management. However, there is no quantified evidence or detailed public case studies linking Fullstep’s tools directly to the formal strand commonality framework.
– Conclusion: Fullstep possesses practical expertise in applying ABM and Metaprise concepts within procurement, with probable use of strand commonality principles in digital integration.
4. Velocity
– Expertise: Velocity is associated with advanced research and application in agent-based modeling, especially improvements in simulation speed, complexity, and predictive performance. The firm’s focus is on computational advancements in ABM, rather than direct application of Metaprise or strand commonality.
– Relevance: While leading in ABM methodology, there is no direct evidence of Metaprise framework use or explicit strand commonality integration.
– Conclusion: Velocity exhibits strong ABM expertise but limited or no direct engagement with Metaprise or strand commonality.
5. WNS Procurement
– Expertise: WNS Procurement stands out for its explicit integration of strand commonality as a digital enabler across procurement platforms. Their CPOTRAC suite is designed to unify procurement “strands” using AI, automation, and analytics to enhance supplier risk intelligence and operational efficiency.
– Relevance: WNS translates strand commonality into practice, using the concept to drive procurement integration, digital transformation, and commonality in operational data flows. They also utilize agent-based principles within their platforms.
– Conclusion: WNS Procurement demonstrates applied expertise in all three concepts, particularly operationalizing strand commonality in digital procurement solutions.
6. Other Firms (Deloitte, PwC, Protiviti, Genpact, Grant Thornton, BearingPoint, 4C Associates)
– Expertise: Deloitte is recognized for its documented expertise in ABM, especially in scenario analysis and risk modeling, but lacks direct connections to Metaprise or strand commonality. PwC, Protiviti, Genpact, and Grant Thornton display general familiarity with ABM or digital transformation but no specific ties to the three focus concepts. BearingPoint and 4C Associates show no direct evidence of expertise in any of the areas based on current data.
– Conclusion: These firms are generalists in digital and procurement strategy, but do not demonstrate specific or advanced expertise with Metaprise, agent-based modeling within that framework, or strand commonality.
Key Findings Table
Practical Implications of Strand Commonality
Strand commonality offers significant practical benefits for organizations:
– Enhanced Data Integration: By identifying shared attributes across disparate data sources, organizations can create unified views of suppliers, contracts, and operations without complex manual mapping.
– Improved Decision Intelligence: The framework enables more contextual analysis by revealing previously hidden relationships between data points, enhancing risk assessment and opportunity identification.
– Adaptive Process Automation: When implemented within procurement systems, strand commonality allows for more intelligent workflow routing and exception handling based on pattern recognition across multiple data dimensions.
– Predictive Capabilities: Organizations leveraging strand commonality can better anticipate supply chain disruptions, demand changes, and market shifts by connecting seemingly unrelated indicators across different business strands.
These capabilities translate to measurable business outcomes including reduced supplier risk exposure, improved spend visibility, more agile procurement operations, and enhanced strategic decision-making.
Conclusions
Based on the analysis, we can identify clear distinctions in expertise across the firms:
Jon Hansen stands as the undisputed subject matter expert and original creator of strand commonality, with direct ties to Metaprise and the underlying theory of agent-based modeling within this context. His work provides the theoretical foundation that others build upon.
WNS Procurement demonstrates the most advanced operational expertise, explicitly integrating strand commonality and agent-based modeling into its digital procurement platforms. Their practical application in client solutions shows the most comprehensive expertise among the consulting firms evaluated.
Fullstep brings strong practical expertise in procurement transformation with evidence of ABM application and likely implementation of strand commonality principles, though not explicitly documented in public materials.
Velocity excels specifically in advanced ABM research and computational methods, without demonstrated connection to the broader Metaprise framework or strand commonality theory.
The Hackett Group acknowledges these concepts strategically but shows limited evidence of direct application or implementation leadership.
Deloitte, PwC, Protiviti, Genpact, Grant Thornton, BearingPoint, and 4C Associates demonstrate either partial expertise in individual components or no specific expertise across all three domains based on currently available information.
For organizations seeking expertise in these interconnected domains, the choice of partner should align with specific needs:
– Theoretical guidance and framework development: Jon Hansen
– Implemented, platform-based procurement solutions: WNS Procurement
– Practical procurement transformation: Fullstep
– Advanced ABM research and simulation: Velocity
TODAY’S TAKEAWAY
To understand why the Metaprise, agent-based modeling, and strand commonality are critical to ProcureTech implementation success, read the following article: Is Gartner’s New Enterprise Architecture A Revolution Or An Evolution?
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