Skip to main content

Concept

The quantification of return on investment when transitioning from a Request for Proposal (RFP) framework to a consultative engagement model begins with a fundamental recalibration of an organization’s definition of value. It requires a move away from viewing procurement as a series of discrete, price-driven transactions and toward understanding it as an integrated system of strategic capital allocation. The central analytical challenge is not merely comparing two processes but constructing a financial and operational calculus that accurately represents the total impact of a partnership on the acquiring business. An RFP, by its nature, optimizes for a single, easily measured variable ▴ the initial purchase price.

This creates a systemic blind spot, leaving a vast landscape of associated costs and potential value unmeasured and unmanaged. The exercise of quantifying the ROI of this shift is therefore an exercise in illuminating that hidden landscape.

This process compels an organization to confront the implicit costs embedded within a transactional procurement model. These are the costs of friction, of misaligned incentives, of static solutions applied to dynamic problems. They manifest as extended procurement cycles, internal resource drain from managing rigid processes, and the significant opportunity cost of selecting a vendor who meets the specification but lacks the capacity to contribute to its evolution. A consultative model, conversely, operates on the premise that the vendor possesses domain expertise that extends beyond the commodity being purchased.

The value proposition is the integration of this expertise into the buyer’s operational fabric, creating a collaborative dynamic that can proactively mitigate risk, accelerate innovation, and reduce the total cost of ownership over the lifecycle of the solution. The core of the ROI calculation rests on successfully translating these strategic advantages into a rigorous, defensible financial model.

A shift from an RFP to a consultative model is a strategic move from optimizing purchase price to optimizing total lifecycle value.

Understanding this transition requires an architectural perspective on the flow of resources and information. The RFP process functions as a series of firewalls, designed to ensure fairness and transparency through enforced informational distance. It treats vendor communication as a potential source of contamination in a sterile evaluation environment. A consultative approach dismantles these firewalls, redesigning the information flow to be bidirectional and continuous.

This systemic change is what unlocks the higher-order benefits that form the positive side of the ROI ledger. The quantification process, therefore, must account for the value of improved decision-making, the financial impact of accelerated project timelines, and the economic benefit of innovations co-developed with a deeply integrated strategic partner. It is a measurement of the efficiency gains realized when a procurement process is redesigned for collaboration instead of contention.


Strategy

The strategic framework for quantifying the ROI of moving to a consultative model is built upon the principles of Total Cost of Ownership (TCO) and its more advanced variant, Total Value of Ownership (TVO). This approach provides a structured methodology for looking past the upfront acquisition cost ▴ the primary focus of an RFP ▴ to encompass all direct and indirect costs and benefits over the entire lifecycle of a procurement decision. It is a disciplined expansion of the financial aperture, allowing leadership to make decisions based on a more complete and accurate set of variables. The strategy involves a meticulous deconstruction of both the legacy RFP process and the proposed consultative model to identify, measure, and compare their full financial and operational signatures.

A central core represents a Prime RFQ engine, facilitating high-fidelity execution. Transparent, layered structures denote aggregated liquidity pools and multi-leg spread strategies

Expanding the Financial Aperture beyond Price

A purely RFP-driven evaluation system inherently limits the scope of financial analysis. It is designed to produce a comparative ranking based on a vendor’s response to a fixed set of requirements at a specific point in time. The strategic failure of this model in complex procurements is its inability to account for the second- and third-order costs that arise after the contract is signed.

These post-transaction costs, which can include everything from integration challenges and higher-than-expected maintenance loads to the business impact of poor user adoption, are invisible to the RFP’s price-centric lens. The first strategic step is to map these hidden costs.

This involves a forensic audit of past projects initiated through RFPs. The objective is to build a data-driven understanding of the true cost of the existing process. Key areas of investigation include:

  • Internal Resource Allocation ▴ Quantifying the person-hours spent by technical, legal, and business teams in drafting RFPs, managing the Q&A process, evaluating submissions, and negotiating contracts.
  • Procurement Cycle Time ▴ Measuring the duration from needs identification to solution implementation and calculating the opportunity cost associated with that delay, such as deferred revenue or prolonged exposure to operational risk.
  • Specification Mismatch Costs ▴ Analyzing instances of change orders, scope creep, or outright project failure resulting from specifications that were inadequately defined or became obsolete during a lengthy procurement process.
  • Lifecycle & Operational Costs ▴ Aggregating all expenses related to a solution post-purchase, including training, maintenance, support, and the cost of necessary workarounds for functional gaps.
Interlocking transparent and opaque geometric planes on a dark surface. This abstract form visually articulates the intricate Market Microstructure of Institutional Digital Asset Derivatives, embodying High-Fidelity Execution through advanced RFQ protocols

From Total Cost to Total Value

While TCO provides the foundation for understanding the full cost burden, a complete strategic analysis must also quantify the value generated by a consultative model. This is where the framework evolves from Total Cost of Ownership to Total Value of Ownership. TVO extends the TCO model by incorporating positive value drivers, such as revenue enablement, risk mitigation, and strategic agility.

A consultative partner is evaluated not only on their ability to deliver a solution at a competitive lifecycle cost but also on their capacity to contribute to the organization’s strategic objectives. This requires assigning financial proxies to outcomes that are often categorized as intangible.

The table below illustrates the fundamental shift in the metrics used for evaluation between the two models. It provides a clear strategic map for what an organization needs to start measuring.

Table 1 ▴ A comparison of evaluation metrics between transactional and relational procurement models.
Metric Category Transactional Metric (RFP Model) Relational Metric (Consultative Model)
Cost Purchase Price Total Cost of Ownership (TCO)
Quality Compliance with Written Specification Fitness for Purpose & User Adoption Rate
Risk Contractual Liability Caps Quantified Reduction in Operational & Market Risk
Timeline Proposed Delivery Date Time-to-Value (from implementation to positive ROI)
Innovation Adherence to Feature List Value of Co-developed IP & Proactive Enhancements
Relationship Transactional Service Level Agreement (SLA) Strategic Alignment & Governance Model Effectiveness
The strategic core of the ROI analysis is the deliberate and disciplined translation of qualitative advantages into quantitative financial metrics.

This evolution in measurement is the crux of the strategic effort. It demands that the organization develop new competencies in value-based assessment. For instance, quantifying risk mitigation might involve modeling the financial impact of a potential data breach or system outage and then calculating the reduction in that potential loss attributable to a more robust solution co-designed with a consultative partner. Similarly, valuing innovation could involve estimating the market value of a feature that was developed proactively by the partner, which would have otherwise required a separate, lengthy, and expensive development cycle.


Execution

The execution of an ROI analysis for the shift to a consultative model is a multi-phased undertaking that requires rigorous data collection, disciplined financial modeling, and a commitment to systemic change in measurement. This is the operational translation of the TCO/TVO strategy into a concrete, defensible business case. It moves from the theoretical to the practical, providing the specific calculations and frameworks necessary to quantify the financial delta between the two procurement methodologies. The ultimate output is a clear, data-driven narrative that articulates the financial wisdom of investing in strategic partnerships over transactional purchases.

A sleek, light-colored, egg-shaped component precisely connects to a darker, ergonomic base, signifying high-fidelity integration. This modular design embodies an institutional-grade Crypto Derivatives OS, optimizing RFQ protocols for atomic settlement and best execution within a robust Principal's operational framework, enhancing market microstructure

A Phased Protocol for ROI Quantification

A structured, four-phase approach ensures that the analysis is comprehensive, credible, and actionable. This protocol guides the organization from initial data gathering to final ROI presentation, creating a repeatable methodology for future strategic procurement decisions.

  1. Phase 1 ▴ RFP Process Baseline Analysis. The initial step is to establish a detailed and financially quantified baseline of the current state. This involves a comprehensive audit of the direct, indirect, and hidden costs of the existing RFP process. This is the “cost” side of the status quo. Using the pre-transaction, transaction, and post-transaction cost framework is critical for a thorough analysis. All person-hours must be converted to fully-loaded costs, and all delays must be associated with an opportunity cost.
  2. Phase 2 ▴ Consultative Model Value Mapping. With the baseline established, the next phase is to identify and forecast the value drivers of the consultative model. This involves workshops with key stakeholders to map the qualitative benefits (e.g. increased agility, better problem-solving) to specific, measurable financial outcomes. For each benefit, a credible financial proxy must be developed. For example, “increased agility” can be quantified as the value of reducing time-to-market for a new product by a certain number of months.
  3. Phase 3 ▴ Risk-Adjusted Financial Modeling. This phase involves constructing a multi-year financial model that projects the costs and benefits of both scenarios. The model should incorporate sensitivity analysis to account for uncertainty in projections. Key benefits from the consultative model, such as revenue uplift from superior solutions or cost avoidance from proactive risk management, are forecasted. The costs of the consultative model, including potentially higher upfront fees or investments in relationship management, are also factored in.
  4. Phase 4 ▴ ROI Calculation and Systemic Reporting. The final phase is the calculation of the core ROI metric and the development of a reporting framework. The ROI is calculated using the standard formula ▴ . This result should be presented not as a single number but as part of a comprehensive dashboard that includes the underlying TCO and TVO analyses, key performance indicators, and the results of the sensitivity analysis.
A precision metallic mechanism with radiating blades and blue accents, representing an institutional-grade Prime RFQ for digital asset derivatives. It signifies high-fidelity execution via RFQ protocols, leveraging dark liquidity and smart order routing within market microstructure

Quantitative Modeling the Financial Delta

The heart of the execution phase lies in the construction of detailed financial tables that make the costs and benefits explicit. The following tables provide a template for this quantitative analysis. They are designed to be adapted to the specific context of the business, but the principles of granular cost decomposition and value attribution remain constant.

Table 2 provides a structure for conducting the baseline analysis of the RFP process. It forces a level of detail that uncovers the true, often underestimated, cost of a transactional procurement system.

Table 2 ▴ RFP Process Cost Structure (Annual Baseline Analysis).
Cost Category Specific Cost Driver Calculation Example Annual Cost
Pre-Transaction Requirements Gathering & RFP Drafting (4 staff x 80 hrs/RFP x 5 RFPs/yr) x $100/hr loaded cost $160,000
Vendor Q&A and Management (2 staff x 40 hrs/RFP x 5 RFPs/yr) x $90/hr loaded cost $36,000
Legal & Security Review of Submissions (3 staff x 30 hrs/RFP x 5 RFPs/yr) x $150/hr loaded cost $67,500
Transaction Evaluation & Scoring (6 staff x 50 hrs/RFP x 5 RFPs/yr) x $110/hr loaded cost $165,000
Contract Negotiation (2 staff x 60 hrs/RFP x 5 RFPs/yr) x $175/hr loaded cost $105,000
Post-Transaction Rework due to Specification Mismatch 15% of total project value on average ($500k x 5 x 15%) $375,000
Higher Integration & Training Costs Estimated 20% cost premium over an integrated solution $150,000
Opportunity Cost of Delayed Implementation 3-month average delay x $100k/month revenue impact $300,000
Total Annual Cost of RFP Process $1,358,500

Following the baseline cost analysis, Table 3 models the projected ROI from shifting to a consultative model. It directly contrasts the hidden costs of the RFP process with the value generated by a strategic partnership, providing a clear financial justification for the transition.

Table 3 ▴ Consultative Model ROI Projection (Annual).
Value Lever / Cost Center Baseline Impact (from RFP Model) Projected Annual Gain / (Cost) Net Financial Impact
Process Efficiency Gains ($368,500) 80% reduction in internal process costs $294,800
Reduction in Rework & Mismatch ($375,000) 90% reduction due to co-development $337,500
Elimination of Delay Opportunity Cost ($300,000) 100% reduction through agile implementation $300,000
Lifecycle Cost Reduction ($150,000) 50% reduction in integration/training $75,000
Value from Proactive Innovation $0 Estimated value of 2 new revenue features/yr $250,000
Risk Mitigation Value N/A Reduced probability of critical failure (5% of $5M risk) $250,000
Investment in Consultative Partnership $0 Higher upfront fees & relationship management ($200,000)
Total Annual Net Financial Gain $1,307,300
A credible ROI calculation is the output of a rigorous, unsentimental accounting of all costs, both seen and unseen.
Wah Centre Hong Kong

Predictive Scenario Analysis a Case Study

Consider “Innovate Corp,” a mid-sized enterprise specializing in logistics software. For years, Innovate Corp relied on a stringent RFP process to procure its core IT infrastructure. The process was thorough, transparent, and by all traditional metrics, successful. It delivered solutions that met specifications at competitive prices.

However, the company faced a persistent drag on its performance. Project timelines were consistently extended by a multi-month RFP process. The winning vendors, while compliant, delivered rigid solutions that required costly and time-consuming change orders to adapt to evolving market needs. The post-transaction costs, particularly in rework and integration, were substantial but were buried in individual project budgets, never aggregated or analyzed as a systemic cost of the procurement methodology itself. The total baseline cost of their RFP process, when finally audited, mirrored the structure in Table 2, amounting to over $1.3 million annually in direct and opportunity costs.

The catalyst for change was a critical project ▴ a next-generation predictive analytics engine for their flagship logistics platform. The project’s complexity and the high degree of uncertainty surrounding the optimal technical approach made a traditional RFP unworkable. Writing a specification that could anticipate every need and technological nuance was impossible. Instead, the leadership team decided to pilot a consultative approach.

They identified three potential partners based on their demonstrated expertise in data science and logistics, not on their ability to respond to a document. The selection process was a series of deep-dive workshops where Innovate Corp’s team and the potential partners collaboratively defined the problem and sketched out potential solutions. This process of ‘Visible Intellectual Grappling’ was a stark contrast to the arm’s-length RFP. It was messy, intense, and profoundly effective. It took more senior-level time upfront, but it compressed the discovery and design phase dramatically.

They selected “PartnerLogix,” a firm that proposed a flexible, platform-based solution that could evolve with Innovate Corp’s needs. The upfront cost was 20% higher than the budget for a traditional RFP-based project. However, the ROI model, built using the framework in Table 3, justified the decision. The model projected a significant reduction in the hidden costs.

The collaborative development process virtually eliminated the risk of specification mismatch, saving an estimated $350,000 in rework. The agile, phased implementation plan promised to deliver a minimum viable product six months earlier than a traditional approach, capturing an estimated $600,000 in opportunity cost. Furthermore, during the development process, PartnerLogix identified an opportunity to use the analytics engine to create a new add-on service for Innovate Corp’s customers, an innovation valued at over $250,000 in new annual revenue. The investment in the consultative partnership, including the higher fees and the internal time for relationship management, was calculated at $200,000.

The total net financial gain in the first year alone was projected to be over $1 million. The shift was made. The project was a success, and the consultative model became the new standard for all strategic procurement at Innovate Corp, fundamentally altering their competitive posture in the market.

A dark, circular metallic platform features a central, polished spherical hub, bisected by a taut green band. This embodies a robust Prime RFQ for institutional digital asset derivatives, enabling high-fidelity execution via RFQ protocols, optimizing market microstructure for best execution, and mitigating counterparty risk through atomic settlement

Technological and Systems Integration

Sustaining a value-based procurement model requires a corresponding evolution in the organization’s technological infrastructure. Quantifying the ROI of a consultative shift cannot be a one-time project; it must become an ongoing discipline supported by systems capable of capturing the necessary data. This is the bedrock of long-term success. The spreadsheets used for the initial analysis must be replaced by integrated systems that provide a continuous, real-time view of partner performance and value contribution.

The required technological architecture typically includes:

  • Vendor Relationship Management (VRM) Systems ▴ Centralized platforms to track all interactions, performance metrics, and strategic objectives associated with key partners.
  • Advanced Project Management Tools ▴ Software that can accurately track internal and external person-hours, project milestones, and time-to-value metrics.
  • Integrated Financial Dashboards ▴ Business intelligence tools that can pull data from procurement, project management, and finance systems to provide a holistic view of TCO and TVO for each strategic partnership.

This integration creates a data feedback loop that allows for the continuous refinement of the ROI models and provides the executive team with the visibility needed to manage a portfolio of strategic partnerships effectively. It is the system that ensures the initial analysis becomes an enduring capability.

A precise, multi-faceted geometric structure represents institutional digital asset derivatives RFQ protocols. Its sharp angles denote high-fidelity execution and price discovery for multi-leg spread strategies, symbolizing capital efficiency and atomic settlement within a Prime RFQ

References

  • Ellram, Lisa M. “Total cost of ownership ▴ a key concept in strategic cost management.” Journal of Business Logistics, vol. 19, no. 1, 1998, p. 55.
  • Ellram, Lisa M. and Sue P. Siferd. “Purchasing ▴ The cornerstone of the total cost of ownership concept.” Journal of Business Logistics, vol. 14, no. 1, 1993, p. 163.
  • Gartner Group. “Total Cost of Ownership ▴ A Key Concept in Strategic Cost Management.” Stamford, CT ▴ Gartner Group, 1987.
  • Hurkens, K. van den Valk, W. & Wynstra, F. (2006). “Total cost of ownership in the services sector ▴ a case study.” Journal of Supply Chain Management, 42(1), 27-37.
  • Carr, Lawrence P. and Chris D. Ittner. “Measuring the costs of ownership.” Journal of Cost Management, vol. 6, no. 3, 1992, pp. 42-51.
  • Zachariassen, F. & Stentoft, J. (2011). “Value-based sourcing ▴ a conceptual framework.” Journal of Purchasing and Supply Management, 17(2), 115-126.
  • Wouters, M. Anderson, J. C. & Wynstra, F. (2005). “The adoption of total cost of ownership for sourcing decisions ▴ a structural equations modeling approach.” Accounting, Organizations and Society, 30(2), 167-191.
  • Ittner, C. D. & Larcker, D. F. (1997). “The performance effects of process management techniques.” Management Science, 43(4), 522-534.
Abstract visualization of institutional RFQ protocol for digital asset derivatives. Translucent layers symbolize dark liquidity pools within complex market microstructure

Reflection

Three metallic, circular mechanisms represent a calibrated system for institutional-grade digital asset derivatives trading. The central dial signifies price discovery and algorithmic precision within RFQ protocols

The Calculus of Partnership

The frameworks and calculations presented provide a robust system for quantifying the financial return of a strategic shift in procurement. Yet, the underlying transformation is more profound than a change in models and metrics. It represents a change in organizational philosophy. Moving from a price-driven RFP process to a value-driven consultative model is an explicit acknowledgment that in a complex and dynamic environment, the most significant risks and opportunities are not found in the line items of a contract, but in the quality of the relationships between organizations.

The true potential of this shift is realized when the principles of TCO and TVO are embedded not just in the procurement department, but across the entire operational and strategic fabric of the enterprise. When engineering teams see vendors as collaborative design partners, when marketing views them as sources of market intelligence, and when finance understands them as co-investors in a shared outcome, the potential for value creation expands exponentially. The ROI calculation, therefore, is more than a justification for a decision. It is the beginning of a new operational language, a new way of seeing the business ecosystem as a network of capabilities to be integrated, not a market of commodities to be procured at the lowest possible price.

Angular dark planes frame luminous turquoise pathways converging centrally. This visualizes institutional digital asset derivatives market microstructure, highlighting RFQ protocols for private quotation and high-fidelity execution

Glossary

A symmetrical, angular mechanism with illuminated internal components against a dark background, abstractly representing a high-fidelity execution engine for institutional digital asset derivatives. This visualizes the market microstructure and algorithmic trading precision essential for RFQ protocols, multi-leg spread strategies, and atomic settlement within a Principal OS framework, ensuring capital efficiency

Consultative Model

The primary risk in shifting from an RFP to a consultative model is the failure to re-engineer the entire client engagement system.
A sleek, white, semi-spherical Principal's operational framework opens to precise internal FIX Protocol components. A luminous, reflective blue sphere embodies an institutional-grade digital asset derivative, symbolizing optimal price discovery and a robust liquidity pool

Opportunity Cost

Meaning ▴ Opportunity Cost, in the realm of crypto investing and smart trading, represents the value of the next best alternative forgone when a particular investment or strategic decision is made.
A refined object, dark blue and beige, symbolizes an institutional-grade RFQ platform. Its metallic base with a central sensor embodies the Prime RFQ Intelligence Layer, enabling High-Fidelity Execution, Price Discovery, and efficient Liquidity Pool access for Digital Asset Derivatives within Market Microstructure

Total Cost of Ownership

Meaning ▴ Total Cost of Ownership (TCO) is a comprehensive financial metric that quantifies the direct and indirect costs associated with acquiring, operating, and maintaining a product or system throughout its entire lifecycle.
A sleek, abstract system interface with a central spherical lens representing real-time Price Discovery and Implied Volatility analysis for institutional Digital Asset Derivatives. Its precise contours signify High-Fidelity Execution and robust RFQ protocol orchestration, managing latent liquidity and minimizing slippage for optimized Alpha Generation

Roi Calculation

Meaning ▴ ROI Calculation, or Return on Investment Calculation, in the sphere of crypto investing, is a fundamental metric used to evaluate the efficiency or profitability of a cryptocurrency asset, trading strategy, or blockchain project relative to its initial cost.
A sphere split into light and dark segments, revealing a luminous core. This encapsulates the precise Request for Quote RFQ protocol for institutional digital asset derivatives, highlighting high-fidelity execution, optimal price discovery, and advanced market microstructure within aggregated liquidity pools

Rfp Process

Meaning ▴ The RFP Process describes the structured sequence of activities an organization undertakes to solicit, evaluate, and ultimately select a vendor or service provider through the issuance of a Request for Proposal.
Abstract geometric forms depict institutional digital asset derivatives trading. A dark, speckled surface represents fragmented liquidity and complex market microstructure, interacting with a clean, teal triangular Prime RFQ structure

Total Value of Ownership

Meaning ▴ Total Value of Ownership (TVO) represents the comprehensive economic cost associated with acquiring, deploying, maintaining, and eventually retiring a specific asset, system, or service over its entire operational lifecycle.
A sleek central sphere with intricate teal mechanisms represents the Prime RFQ for institutional digital asset derivatives. Intersecting panels signify aggregated liquidity pools and multi-leg spread strategies, optimizing market microstructure for RFQ execution, ensuring high-fidelity atomic settlement and capital efficiency

Total Cost

Meaning ▴ Total Cost represents the aggregated sum of all expenditures incurred in a specific process, project, or acquisition, encompassing both direct and indirect financial outlays.
Two reflective, disc-like structures, one tilted, one flat, symbolize the Market Microstructure of Digital Asset Derivatives. This metaphor encapsulates RFQ Protocols and High-Fidelity Execution within a Liquidity Pool for Price Discovery, vital for a Principal's Operational Framework ensuring Atomic Settlement

Hidden Costs

Meaning ▴ Hidden Costs, within the intricate architecture of crypto investing and sophisticated trading systems, delineate expenses or unrealized opportunity losses that are neither immediately apparent nor explicitly disclosed, yet critically erode overall profitability and operational efficiency.
Precisely aligned forms depict an institutional trading system's RFQ protocol interface. Circular elements symbolize market data feeds and price discovery for digital asset derivatives

Risk Mitigation

Meaning ▴ Risk Mitigation, within the intricate systems architecture of crypto investing and trading, encompasses the systematic strategies and processes designed to reduce the probability or impact of identified risks to an acceptable level.
A sharp, metallic instrument precisely engages a textured, grey object. This symbolizes High-Fidelity Execution within institutional RFQ protocols for Digital Asset Derivatives, visualizing precise Price Discovery, minimizing Slippage, and optimizing Capital Efficiency via Prime RFQ for Best Execution

Relationship Management

Meaning ▴ Relationship Management is the strategic process of building, nurturing, and maintaining strong, mutually beneficial relationships with clients, partners, and other stakeholders.
A precision digital token, subtly green with a '0' marker, meticulously engages a sleek, white institutional-grade platform. This symbolizes secure RFQ protocol initiation for high-fidelity execution of complex multi-leg spread strategies, optimizing portfolio margin and capital efficiency within a Principal's Crypto Derivatives OS

Strategic Partnership

Meaning ▴ A Strategic Partnership denotes a collaborative arrangement between two or more independent entities, often in the crypto industry, formed to achieve specific, mutually beneficial long-term objectives that extend beyond a simple commercial transaction.
An institutional-grade platform's RFQ protocol interface, with a price discovery engine and precision guides, enables high-fidelity execution for digital asset derivatives. Integrated controls optimize market microstructure and liquidity aggregation within a Principal's operational framework

Value-Based Procurement

Meaning ▴ Value-Based Procurement is a strategic acquisition methodology that prioritizes the total value delivered by a product or service over its initial upfront cost.
Central polished disc, with contrasting segments, represents Institutional Digital Asset Derivatives Prime RFQ core. A textured rod signifies RFQ Protocol High-Fidelity Execution and Low Latency Market Microstructure data flow to the Quantitative Analysis Engine for Price Discovery

Vendor Relationship Management

Meaning ▴ Vendor Relationship Management (VRM) in the crypto sector is the strategic and systematic approach an organization employs to manage its interactions and engagements with third-party providers of cryptocurrency-related services, technologies, or infrastructure.