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6. Navigating Risk in the Equipment-as-a-Service Model: Conclusion and Future-Proofing


As we conclude our series on navigating risk in the Equipment-as-a-Service (EaaS) model, it's crucial to reflect on the insights gleaned and project the future of risk management in this transformative business model. From the nuances of residual value risk to the complexities of obsolescence risk, we've examined how Original Equipment Manufacturers (OEMs) can strategically mitigate, share, and exploit risks within their EaaS ecosystem.

Key Takeaways from the Series

In our journey through this series, we began with a deep dive into understanding risks. We dissected the components of residual value risk, asset utilisation risk, and obsolescence risk, highlighting their unique characteristics and implications within the EaaS model.

The concept of interplay of risks was then introduced, illuminating the interconnectedness of these risks and the need for a comprehensive approach to risk management that takes these interactions into account.

We further explored various risk management strategies, presenting an array of methods for transferring, sharing, and exploiting risks. The role of different stakeholders within the EaaS ecosystem was emphasised, demonstrating how customers, financiers, insurers, and resellers each play a part in managing these risks.

Lastly, we delved into the role of EaaS platforms. This brought to light the importance of leveraging a data-driven platform for managing risk transfer, sharing, and exploitation in the EaaS ecosystem, reinforcing the value of technology in advancing risk management strategies.

The Scope of Risks in This Series

While our series primarily focused on asset risks, it's important to note that these represent only a fraction of the potential risks within the EaaS model. Other risks, such as operational, financial, and regulatory risks, also play a significant role in shaping the risk landscape of EaaS. Understanding these risks and incorporating them into a holistic risk management approach is paramount for OEMs transitioning to or operating within the EaaS model.

Moreover, the specific servitization model an OEM adopts can introduce additional risks. For instance, if the EaaS model is based on sharing cost savings, energy price fluctuations can become a significant risk. If the offering includes bundling in consumables, the volatility of commodity prices can pose a substantial risk. The complexity of these risks underscores the importance of a well-rounded, adaptable risk management strategy that can cater to the diverse challenges posed by different servitization models.

Looking Ahead: The Future of Risk Management in EaaS

As the EaaS model continues to evolve and mature, so too will the strategies and tools for managing its associated risks. Technological advancements, particularly in the realm of data analytics and AI, will further enable real-time risk monitoring, proactive risk mitigation, and dynamic risk sharing.

Additionally, the growing adoption and understanding of the EaaS model will likely lead to the evolution of offerings from ecosystem partners, such as banks and insurers. Recognizing the value of real-time insights from the equipment, these partners may develop more tailored solutions for transferring the risks inherent in EaaS. This could include new financing structures, insurance products, and other innovative tools that leverage equipment data to better manage risks.

Furthermore, the integration of EaaS into the circular economy will continue to play a pivotal role in risk management, particularly in terms of mitigating residual value and obsolescence risks. As more OEMs adopt circular business models, we can expect to see more sophisticated strategies for managing the lifecycle of equipment and materials, reducing waste, and creating value from used equipment.

Ultimately, the future of risk management in EaaS will be characterised by greater interconnectivity, advanced data analytics, and an increased focus on sustainability. As OEMs navigate this landscape, a comprehensive and forward-thinking approach to risk management will be a key determinant of success.

Best Practices for EaaS Risk Management

Navigating the risk landscape in the EaaS model can seem daunting, particularly for OEMs transitioning from traditional sales models. It's essential to remember that implementing effective risk management doesn't need to happen all at once. Starting small, with a manageable segment of your business, allows for learning, adjustment, and refinement of strategies before scaling up. As you grow more comfortable and experienced, you can gradually extend your EaaS offerings and risk management practices. Here are key best practices to guide your journey:

Adopt a holistic, ecosystem-based approach

Risk management in EaaS is most effective when it takes into account the entire ecosystem of stakeholders. This involves understanding the roles and capabilities of each stakeholder, from customers and financiers to insurers and resellers, and how they can contribute to risk sharing and transfer. A holistic approach also means considering all types of risks, not just those related to assets. By doing so, OEMs can develop comprehensive risk management strategies that reflect the interconnected nature of the EaaS model.

Utilise built-for-purpose EaaS platforms

Advanced digital platforms designed specifically for EaaS can significantly enhance risk management capabilities. These platforms, such as, provide real-time insights into equipment performance, usage, and other key variables, enabling proactive risk mitigation. They also facilitate dynamic risk sharing and transfer through features like usage-based pricing and risk-adjusted financing.

Consult experts and leverage existing structural capital

Navigating the risks in EaaS requires expertise in various fields, from finance and insurance to technology and sustainability. Consulting with experts in these areas can provide valuable insights and guidance for risk management. Additionally, OEMs can leverage their existing structural capital—such as knowledge, systems, and processes—to identify, assess, and manage risks in EaaS. This includes using data analytics to monitor risks, adopting best practices for asset lifecycle management, and implementing robust governance structures to oversee risk management activities.

Starting small, adopting these best practices, and gradually expanding can help OEMs navigate the complexities of risk management in the EaaS model and ultimately enhance the sustainability and profitability of their operations.

The Path Forward with

The transition to the EaaS model is an exciting journey filled with opportunities for growth, resilience, and innovation. It also comes with its fair share of risks, as we have explored throughout this series. However, with a proactive, informed approach to risk management, these challenges can be navigated successfully.

As you continue on this journey, remember that you don't have to face these risks alone. Leveraging the capabilities of a built-for-purpose EaaS platform like can significantly enhance your ability to manage, transfer, and exploit risks in the EaaS model. offers a comprehensive suite of tools designed to provide real-time insights into equipment performance, facilitate dynamic risk sharing and transfer, and support informed decision-making. Its ecosystem-based approach aligns perfectly with the interconnected nature of risks in EaaS, providing a holistic solution for risk management.

So why wait? Embrace the future of Equipment-as-a-Service with Start small, learn and adjust as you go, and harness the power of a purpose-built platform to navigate the risks and seize the opportunities that lie ahead. The path to successful EaaS implementation and risk management starts here.


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