# How Does a Phased Rollout Mitigate the Risks in a Regtech Implementation? ▴ Question

**Published:** 2025-08-17
**Categories:** Question

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## Concept

A [phased rollout](https://prime.greeks.live/area/phased-rollout/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) of a Regulatory Technology (RegTech) system is a deliberate, control-oriented strategy for managing the profound operational and systemic transformations inherent in its adoption. It moves the implementation process from a high-risk, monolithic event into a structured sequence of manageable, observable stages. This approach provides a framework for de-risking the complex interplay of data migration, [system integration](https://prime.greeks.live/area/system-integration/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite), and human adaptation. By sequentially deploying the RegTech solution across specific business units, regulatory functions, or geographical locations, an organization establishes a live-environment laboratory.

Within this controlled setting, it can validate the system’s efficacy, measure its performance against defined [key performance indicators](https://prime.greeks.live/area/key-performance-indicators/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) (KPIs), and refine its configuration before enterprise-wide exposure. This methodical progression allows for the containment and resolution of issues within a limited blast radius, preventing localized failures from escalating into systemic crises.

The core principle of this methodology is the conversion of uncertainty into quantifiable risk, which can then be systematically mitigated. A “big bang” implementation, where the entire system goes live at once, treats the go-live date as a single point of catastrophic failure potential. All unforeseen technical glitches, data inconsistencies, and [user adoption](https://prime.greeks.live/area/user-adoption/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) hurdles manifest simultaneously, creating a chaotic and reactive environment. A phased implementation, conversely, distributes these potential failure points across a timeline, transforming them into valuable learning opportunities.

Each phase serves as a validation gate, providing empirical data on the system’s performance and the organization’s readiness. This iterative feedback loop is the central mechanism for [risk mitigation](https://prime.greeks.live/area/risk-mitigation/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite), allowing project leaders to make data-driven decisions about pacing, resource allocation, and strategic adjustments. The process is no longer a blind leap but a calculated advance, where each step forward is taken on solid, tested ground.

> A phased implementation transforms a high-stakes gamble into a series of calculated, manageable steps, systematically reducing uncertainty.

This strategic patience fundamentally alters the risk landscape. Financial risks are contained by preventing catastrophic budget overruns associated with large-scale failures and rework. Operational stability is preserved because the core business is insulated from the initial implementation’s inevitable turbulence. Technical and integration challenges are identified and solved at a smaller scale, allowing the technical teams to develop expertise and standardized procedures.

Most critically, the human element ▴ often the most unpredictable variable ▴ is managed with greater precision. Employees are introduced to new workflows in manageable stages, supported by targeted training and [change management](https://prime.greeks.live/area/change-management/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) initiatives tailored to the specific realities uncovered in each phase. This progressive adaptation fosters buy-in and proficiency, mitigating the significant risk of user resistance that can undermine even the most technologically sound system. The phased rollout, therefore, is an exercise in systemic control, ensuring that the transformative power of RegTech is harnessed without jeopardizing the operational integrity of the institution it is designed to protect.

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## Strategy

Developing a strategic framework for a phased RegTech rollout requires a precise mapping of the implementation sequence to the organization’s specific risk topography. The choice of phasing model is a primary strategic decision, dictating how the solution will be segmented and deployed. The objective is to isolate variables, create clear cause-and-effect relationships between the new system and its operational outcomes, and ensure that the lessons from each stage are directly applicable to the next.

A poorly designed sequence can create false positives or mask underlying integration issues, negating the risk mitigation benefits of the approach. A well-designed sequence, however, builds institutional knowledge and technical resilience, creating a virtuous cycle of iterative improvement.

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## Selecting the Optimal Phasing Trajectory

The selection of a phasing model is contingent on the nature of the RegTech solution, the structure of the organization, and its primary risk drivers. There is no single correct model; the optimal choice aligns the deployment strategy with the highest-priority risks the institution seeks to mitigate. For instance, an organization implementing a new Anti-Money Laundering (AML) transaction monitoring system might prioritize a jurisdictional rollout to manage cross-border data governance complexities. Conversely, a firm adopting a new regulatory reporting tool might opt for a report-by-report (functional) rollout to manage the technical complexity of data sourcing for each distinct regulatory mandate.

- **[Pilot Program](https://prime.greeks.live/area/pilot-program/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite)** ▴ A preliminary phase that involves a small, controlled group of users or a limited dataset to test the core functionality and viability of the RegTech solution. This initial step is crucial for identifying fundamental design flaws and gathering early user feedback before a wider rollout.

- **By Business Unit or Department** ▴ The solution is rolled out to one department at a time. This method contains the impact of any disruption to a single operational area, allowing the organization to tailor the implementation and training process to the specific workflows and needs of each unit.

- **By Geographic Location or Jurisdiction** ▴ For multinational organizations, rolling out the solution region by region is often the most effective approach. This strategy helps manage complexities related to different regulatory regimes, data residency laws, and language requirements.

- **By Feature or Module (Functional)** ▴ The implementation is broken down by the specific capabilities of the RegTech platform. For example, a compliance suite might be rolled out with the monitoring module first, followed by the reporting module, and then the case management module. This allows teams to master one new function before moving to the next.

- **By Risk Category** ▴ The rollout is prioritized based on the most critical compliance risks the organization faces. For instance, modules addressing high-penalty areas like AML or sanctions screening might be implemented before those addressing lower-risk obligations.

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## Comparative Analysis of Rollout Models

Each rollout model presents a unique risk-reward profile. The strategic decision rests on balancing the speed of value realization against the desire for maximum risk containment. A pilot program offers the lowest risk but also the slowest path to enterprise-wide benefits.

A rollout by business unit, while slower, allows for deep customization and high rates of user adoption. The table below provides a comparative analysis to guide this strategic decision-making process.

| Phasing Model | Primary Advantage | Key Risk Mitigated | Potential Disadvantage |
| --- | --- | --- | --- |
| Pilot Program | Maximum containment of unforeseen issues; low initial cost. | Technology/Solution Viability Risk | Slowest time-to-value; results may not be scalable. |
| By Business Unit | Tailored implementation and training; minimizes enterprise-wide disruption. | Operational & User Adoption Risk | Can create temporary data silos between units. |
| By Geographic Location | Manages regulatory and data sovereignty complexities effectively. | Jurisdictional & Compliance Risk | Requires significant coordination across time zones and cultures. |
| By Feature/Module | Allows users to build proficiency incrementally; simplifies technical troubleshooting. | Technical & Integration Complexity Risk | May delay realization of end-to-end process benefits. |

> The architecture of the rollout itself becomes the primary tool for managing the inherent risks of technological change.

Ultimately, the strategy may involve a hybrid approach, such as beginning with a pilot program to validate the technology, followed by a feature-based rollout within a single, low-risk business unit. This combines the benefits of multiple models. The critical component of any strategy is the establishment of a robust governance framework with clear phase-gate criteria.

These are predefined go/no-go decision points between each phase, where stakeholders assess the performance, stability, and user feedback from the completed phase against agreed-upon metrics. This ensures that the project does not advance on a predetermined schedule but on the basis of demonstrated success, making the phased rollout a truly risk-responsive, evidence-based implementation methodology.

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## Execution

The execution of a phased [RegTech implementation](https://prime.greeks.live/area/regtech-implementation/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) is a disciplined exercise in project governance and iterative risk management. It transforms the strategic blueprint into a series of tangible, measurable actions. The success of this stage hinges on a granular understanding of the data lifecycle, a resilient technical integration plan, and a deeply human-centric approach to change management.

Each phase is a microcosm of the entire project, with its own cycle of deployment, testing, feedback, and refinement. This iterative process is what systematically builds institutional resilience and ensures the final, enterprise-scale system is not only technically sound but also fully embedded in the organization’s operational DNA.

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## Phase-Gate Governance and Success Metrics

A formal phase-gate process is the central nervous system of the execution. It prevents the uncontrolled progression from one phase to the next ▴ a phenomenon known as “scope creep” or “optimism bias.” At each gate, the project team must present evidence that the predefined success criteria for the preceding phase have been met. This data-driven approach removes subjectivity from the decision-making process and forces a rigorous evaluation of both the technology and the organization’s readiness to proceed. Key performance indicators must be established at the outset and meticulously tracked.

- **System Stability Metrics** ▴ Uptime percentages, transaction processing times, and error rates are foundational. For a real-time monitoring system, this could be a requirement of 99.95% uptime and an average alert generation time of under 500 milliseconds during the pilot phase.

- **Data Quality Metrics** ▴ The integrity of data migrated to and processed by the new system is paramount. Metrics include data validation error rates, reconciliation break percentages, and the number of records requiring manual cleansing. A successful phase might require a reconciliation break rate of less than 0.1% between the new RegTech platform and [legacy systems](https://prime.greeks.live/question/what-are-the-most-effective-strategies-for-data-mapping-between-modern-and-legacy-systems/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite).

- **User Adoption Metrics** ▴ This moves beyond simple login counts. It involves measuring active use of key features, task completion times, and qualitative feedback from user surveys and interviews. An adoption target could be 90% of users in the pilot group actively using the core reporting function daily within two weeks of deployment.

- **Compliance Outcome Metrics** ▴ The ultimate measure of a RegTech tool is its effectiveness. This could involve tracking the reduction in false positives for an AML system or the decrease in time required to compile and submit a regulatory report. A key metric might be a 25% reduction in false-positive alerts investigated by the compliance team in the initial phase.

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## Risk-Mitigation Mapping across Implementation Phases

A critical execution document is a risk-mitigation map that explicitly links specific project activities within each phase to the key risks identified during planning. This ensures that mitigation is an active, ongoing process rather than a theoretical exercise. It provides a clear line of sight for all stakeholders, demonstrating how tactical execution steps contribute to the strategic goal of de-risking the implementation.

| Risk Category | Identified Risk | Mitigation Action in Phased Rollout | Verification Metric |
| --- | --- | --- | --- |
| Operational | Disruption to critical business processes during cutover. | Deploy to a single, non-critical business unit first. Run new and legacy systems in parallel for one reporting cycle. | Zero critical process failures during parallel run; successful reconciliation between systems. |
| Technical | Failure of integration points with legacy systems. | Implement and test one API endpoint at a time in a sandboxed environment during the pilot phase. | 100% successful API call rate in user acceptance testing (UAT). |
| Financial | Uncontrolled budget overrun due to unforeseen complexity. | Each phase has its own discrete budget. Go/no-go decision at each phase-gate includes a budget review. | Phase 1 completed within 105% of its allocated budget. |
| Human Factor | User resistance and failure to adopt new workflows. | Conduct intensive, role-specific training for the pilot group. Use their feedback to refine the training program for subsequent phases. | 95% positive feedback score on training effectiveness from the pilot user group. |
| Data | Corruption or loss of data during migration from legacy systems. | Perform a limited migration of one month’s data for the pilot phase. Conduct full data validation and reconciliation. | Zero data loss confirmed by independent audit of migrated dataset. |

> Executing a phased rollout is about creating a feedback-rich environment where small failures become invaluable data points for future success.

This structured approach to execution ensures that by the time the final phase is initiated, the technical, operational, and human elements of the implementation have been thoroughly tested and hardened. The project team has transitioned from a state of reacting to unforeseen problems to one of proactively applying proven solutions and standardized processes. The organization has not just installed a new piece of software; it has systematically developed the internal capability to manage and leverage it effectively, ensuring that the long-term benefits of the RegTech investment are fully realized.

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## References

- Arner, Douglas W. et al. “The RegTech Book ▴ The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries in Regulation.” John Wiley & Sons, 2019.

- Butler, T. & O’Brien, L. “Understanding the dynamics of a corporate RegTech strategy.” Journal of Financial Transformation, vol. 50, 2019, pp. 60-69.

- Hill, John. “Fintech and the Remaking of Financial Institutions.” Academic Press, 2018.

- Zetzsche, Dirk A. et al. “From FinTech to TechFin ▴ The Regulatory Challenges of Data-Driven Finance.” Journal of Financial Regulation, vol. 6, no. 2, 2020, pp. 167-198.

- Buckley, Ross P. et al. “The Evolution of RegTech ▴ A Synthesis of Research and Practice.” The FinTech Book, edited by Susanne Chishti and Janos Barberis, John Wiley & Sons, 2016, pp. 191-196.

- Di FILIPPO, A. et al. “RegTech ▴ the new frontier of financial technologies for compliance and supervision.” Questioni di Economia e Finanza (Occasional Papers) 553, Bank of Italy, Economic Research and International Relations Area, 2020.

- Anagnostopoulos, Ioannis. “Fintech and Regtech ▴ A critical review.” International Journal of Finance and Economics, vol. 23, no. 4, 2018, pp. 1-11.

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## Reflection

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## Calibrating the Implementation Cadence

The successful absorption of a RegTech system is ultimately a function of an organization’s unique operational metabolism. The frameworks and execution protocols provide the necessary structure, but the cadence of the rollout ▴ the rhythm of deployment, learning, and adaptation ▴ must be synchronized with the institution’s capacity for change. Assessing this capacity requires a candid look at the interplay between technological infrastructure, risk appetite, and human culture. Is the organization’s architecture brittle or resilient?

Is its culture one of cautious skepticism or agile experimentation? The answers to these questions should dictate the duration of each phase and the stringency of each gate’s criteria.

Viewing the implementation not as a singular project to be completed, but as the initial step in building a more adaptive compliance infrastructure, reframes the entire endeavor. The phased rollout becomes a foundational exercise in developing the institutional muscle for continuous technological evolution. The knowledge gained in managing the data, integrating the systems, and training the people for this specific implementation creates a repeatable capability. The ultimate success, therefore, is measured by the organization’s enhanced ability to absorb the next regulatory or technological shift with greater speed, lower risk, and superior strategic insight.

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## Glossary

<a href="https://prime.greeks.live/area/system-integration/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![Wah Centre Hong Kong](https://options.greeks.live/wp-content/uploads/2025/08/Wah-Centre-Hong-Kong.jpg)

## System Integration

Meaning ▴ System Integration refers to the engineering process of combining distinct computing systems, software applications, and physical components into a cohesive, functional unit, ensuring that all elements operate harmoniously and exchange data seamlessly within a defined operational framework. </a><a href="https://prime.greeks.live/area/phased-rollout/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![An angular, teal-tinted glass component precisely integrates into a metallic frame, signifying the Prime RFQ intelligence layer. This visualizes high-fidelity execution and price discovery for institutional digital asset derivatives, enabling volatility surface analysis and multi-leg spread optimization via RFQ protocols](https://options.greeks.live/wp-content/uploads/2025/07/prime-os-rfq-protocol-for-digital-asset-derivatives-execution.jpg)

## Phased Rollout

Meaning ▴ A Phased Rollout defines a controlled, iterative strategy for introducing new functionalities, systems, or market access protocols into a live production environment. </a><a href="https://prime.greeks.live/area/key-performance-indicators/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![Abstract geometric forms converge at a central point, symbolizing institutional digital asset derivatives trading. This depicts RFQ protocol aggregation and price discovery across diverse liquidity pools, ensuring high-fidelity execution](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-rfq-execution-microstructure-core-liquidity-hub.jpg)

## Key Performance Indicators

Meaning ▴ Key Performance Indicators are quantitative metrics designed to measure the efficiency, effectiveness, and progress of specific operational processes or strategic objectives within a financial system, particularly critical for evaluating performance in institutional digital asset derivatives. </a><a href="https://prime.greeks.live/area/user-adoption/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![Geometric panels, light and dark, interlocked by a luminous diagonal, depict an institutional RFQ protocol for digital asset derivatives. Central nodes symbolize liquidity aggregation and price discovery within a Principal's execution management system, enabling high-fidelity execution and atomic settlement in market microstructure](https://options.greeks.live/wp-content/uploads/2025/08/institutional-digital-asset-derivatives-rfq-protocol-execution-engine-1.jpg)

## User Adoption

Meaning ▴ User Adoption quantifies the degree to which institutional principals and their operational teams integrate and consistently utilize new digital asset trading platforms, execution protocols, or risk management modules within their established workflow. </a><a href="https://prime.greeks.live/area/risk-mitigation/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A polished, dark blue domed component, symbolizing a private quotation interface, rests on a gleaming silver ring. This represents a robust Prime RFQ framework, enabling high-fidelity execution for institutional digital asset derivatives](https://options.greeks.live/wp-content/uploads/2025/08/optimized-execution-for-institutional-digital-asset-derivatives-rfq.jpg)

## Risk Mitigation

Meaning ▴ Risk Mitigation involves the systematic application of controls and strategies designed to reduce the probability or impact of adverse events on a system's operational integrity or financial performance. </a><a href="https://prime.greeks.live/area/change-management/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A multi-layered electronic system, centered on a precise circular module, visually embodies an institutional-grade Crypto Derivatives OS. It represents the intricate market microstructure enabling high-fidelity execution via RFQ protocols for digital asset derivatives, driven by an intelligence layer facilitating algorithmic trading and optimal price discovery](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-engine-facilitating-high-fidelity-execution-and-optimal-price-discovery.jpg)

## Change Management

Meaning ▴ Change Management represents a structured methodology for facilitating the transition of individuals, teams, and an entire organization from a current operational state to a desired future state, with the objective of maximizing the benefits derived from new initiatives while concurrently minimizing disruption. </a><a href="https://prime.greeks.live/area/pilot-program/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
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## Pilot Program

Meaning ▴ A pilot program constitutes a controlled, limited-scope deployment of a novel system, protocol, or feature within a live operational environment to rigorously validate its functionality, performance, and systemic compatibility prior to full-scale implementation. </a><a href="https://prime.greeks.live/area/regtech-implementation/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A sleek, precision-engineered device with a split-screen interface displaying implied volatility and price discovery data for digital asset derivatives. This institutional grade module optimizes RFQ protocols, ensuring high-fidelity execution and capital efficiency within market microstructure for multi-leg spreads](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-execution-module.jpg)

## Regtech Implementation

Meaning ▴ RegTech Implementation refers to the systematic integration and deployment of regulatory technology solutions within an institutional framework to automate and optimize compliance processes, risk management, and reporting obligations, particularly pertinent for the evolving regulatory landscape of digital asset derivatives. </a><a href="https://prime.greeks.live/question/what-are-the-most-effective-strategies-for-data-mapping-between-modern-and-legacy-systems/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A light sphere, representing a Principal's digital asset, is integrated into an angular blue RFQ protocol framework. Sharp fins symbolize high-fidelity execution and price discovery](https://options.greeks.live/wp-content/uploads/2025/07/principals-core-asset-rfq-protocol-framework-for-digital-derivatives.jpg)

## Legacy Systems

Data mapping is the architectural discipline of translating data schemas to ensure systemic coherence and preserve informational value. </a>

**Tags:** [Risk Mitigation](https://options.greeks.live/area/risk-mitigation/), [User Adoption](https://options.greeks.live/area/user-adoption/), [System Integration](https://options.greeks.live/area/system-integration/), [Compliance Technology](https://options.greeks.live/area/compliance-technology/), [Operational Risk](https://options.greeks.live/area/operational-risk/), [Phased Rollout](https://options.greeks.live/area/phased-rollout/)	

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- 
### [How Do Regulatory Frameworks Influence Algorithmic Block Trade Execution?](https://options.greeks.live/question/how-do-regulatory-frameworks-influence-algorithmic-block-trade-execution/)
![A sophisticated metallic mechanism, split into distinct operational segments, represents the core of a Prime RFQ for institutional digital asset derivatives. Its central gears symbolize high-fidelity execution within RFQ protocols, facilitating price discovery and atomic settlement. This system manages fragmented liquidity and optimizes portfolio margin for block trades.](https://options.greeks.live/wp-content/uploads/2025/07/precision-rfq-engine-for-institutional-digital-asset-derivatives-trading.jpg)

Regulatory frameworks fundamentally reshape algorithmic block trade execution by mandating architectural compliance and driving advanced optimization for discreet, efficient order flow.

- 
### [What Are the Most Effective Quantitative Metrics for a Counterparty Performance Scorecard?](https://options.greeks.live/question/what-are-the-most-effective-quantitative-metrics-for-a-counterparty-performance-scorecard/)
![A sophisticated digital asset derivatives trading mechanism features a central processing hub with luminous blue accents, symbolizing an intelligence layer driving high fidelity execution. Transparent circular elements represent dynamic liquidity pools and a complex volatility surface, revealing market microstructure and atomic settlement via an advanced RFQ protocol.](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocols-high-fidelity-execution-framework-optimizing-market-microstructure-price-discovery-intelligence-layer.jpg)

A counterparty performance scorecard is a dynamic system for translating complex data into actionable risk intelligence.

- 
### [How Does a Phased Rollout Mitigate Risks in Legacy System Integration?](https://options.greeks.live/question/how-does-a-phased-rollout-mitigate-risks-in-legacy-system-integration/)
![Precision-engineered metallic tracks house a textured block with a central threaded aperture. This visualizes a core RFQ execution component within an institutional market microstructure, enabling private quotation for digital asset derivatives. It represents high-fidelity execution and atomic settlement via a robust Principal's operational framework.](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-rfq-execution-framework-precision-microstructure-component.jpg)

A phased rollout mitigates risk by transforming a monolithic integration into a sequence of controlled, observable, and adaptable steps.

- 
### [What Are the Primary Risks Associated with a Phased Rollout of Rfp Automation Software?](https://options.greeks.live/question/what-are-the-primary-risks-associated-with-a-phased-rollout-of-rfp-automation-software/)
![A metallic ring, symbolizing a tokenized asset or cryptographic key, rests on a dark, reflective surface with water droplets. This visualizes a Principal's operational framework for High-Fidelity Execution of Institutional Digital Asset Derivatives. It embodies an RFQ Protocol ensuring precise Price Discovery, Atomic Settlement, and optimal Capital Efficiency within a robust Crypto Derivatives OS.](https://options.greeks.live/wp-content/uploads/2025/07/high-fidelity-institutional-digital-asset-derivatives-rfq-protocol-execution.jpg)

A phased rollout of RFP software trades catastrophic failure risk for prolonged operational and data fragmentation risks.

- 
### [How Can a Firm Design an Automated Exception Management Protocol for Trade Reporting Errors?](https://options.greeks.live/question/how-can-a-firm-design-an-automated-exception-management-protocol-for-trade-reporting-errors/)
![Precision-engineered institutional-grade Prime RFQ component, showcasing a reflective sphere and teal control. This symbolizes RFQ protocol mechanics, emphasizing high-fidelity execution, atomic settlement, and capital efficiency in digital asset derivatives market microstructure.](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-precision-execution-system-design.jpg)

An automated exception management protocol is a firm's systemic immune response to trade reporting errors.

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---

**Original URL:** https://options.greeks.live/question/how-does-a-phased-rollout-mitigate-the-risks-in-a-regtech-implementation/
