Why some actuarial functions improve more effectively than others
Introduction
High-performing actuarial functions are not defined by the absence of complexity.
They operate within the same constraints as other functions: legacy systems, regulatory pressure, increasing data demands, evolving business expectations and ongoing pressure to deliver more insight, more quickly.
The difference lies in how they respond.
Having seen many actuarial functions, certain patterns consistently emerge. Stronger functions tend to have a clearer understanding of how work is delivered, where constraints exist and how improvement activity contributes to the performance of the function as a whole.
They are not necessarily investing more. They are usually operating with greater clarity, consistency and control.
They Understand How Work Actually Flows
Stronger actuarial functions have a clear view of how work moves through the function from end to end.
This goes beyond understanding individual tasks, systems or models. It means understanding how data enters the process, how it is transformed, how models are operated, how outputs are reviewed and how results are ultimately used by the business. That clarity matters.
It allows teams to identify where inefficiencies exist, where dependencies create risk and where improvement will have the greatest impact. It also helps avoid the common problem of improving one part of the process while leaving the wider operating environment unchanged.
In practical terms, high-performing functions understand not only what work is being done, but how that work flows across people, processes, data, systems and models.
They Reduce Operational Friction
A common feature of less effective environments is the amount of friction embedded in day-to-day delivery.
Manual workarounds become normal. Data preparation absorbs time. Processes depend on key individuals. Models require specialist knowledge to operate or explain. These issues may be manageable individually, but collectively they reduce efficiency and make the function harder to change.
Stronger functions are more deliberate in reducing this friction. Processes are designed with systems in mind. Data is structured to support how it will actually be used. Models are developed with consideration for operation, maintenance and explanation. Responsibilities are clearer, reducing reliance on informal knowledge or repeated intervention.
The result is not necessarily a simpler function, but a more coherent one.
They Approach Change Deliberately
All actuarial functions have to respond to immediate demands. Regulatory change, reporting deadlines, business requests and internal priorities all create pressure for action.
The difference is that stronger functions are better able to balance short-term response with longer-term improvement. They avoid layering new solutions onto existing structures without considering the wider impact. Instead, change is approached with a clearer understanding of how individual initiatives contribute to the evolution of the function.
This does not mean change is slower. In many cases, it becomes more effective because teams understand what they are changing, why it matters and how it affects the wider operating environment.
They Create Consistency Without Removing Judgement
Consistency is often an overlooked driver of actuarial performance.
Where approaches vary significantly across teams, products or reporting areas, complexity increases. Outputs become harder to compare, processes more difficult to manage and results more challenging to explain.
High-performing functions address this by establishing clearer standards across methodologies, processes and data usage, while still allowing appropriate judgement where it’s required.
This distinction is important. The aim is not to remove professional judgement from actuarial work. It is to create enough consistency that judgement can be applied transparently, rather than being embedded in undocumented differences between teams or processes.
They Connect Technical Work to Business Use
The purpose of the actuarial function is not only to produce accurate results. It is to support decision-making.
Stronger functions have a clearer connection between the work performed, the outputs produced and the value delivered to the business. This requires more than technical quality. It requires outputs that are timely, explainable and relevant to the decisions they support. It also requires actuarial teams to understand how their work is used beyond the function itself.
Better data, more usable models, clearer methodologies and more efficient processes all contribute to this. But the value comes from how these elements are brought together to support better business outcomes.
They Build for Sustainable Improvement
High-performing actuarial functions do not focus solely on solving today’s challenges. They build capability that supports longer-term performance.
A clearer operating environment provides greater transparency. Dependencies are better understood. Key risks are easier to identify. The impact of change can be assessed more effectively.
This allows actuarial leaders to move from managing issues as they arise towards actively shaping how the function evolves.
The Difference
High-performing actuarial functions are not simply better because they have stronger individual components.
They are stronger because they understand how those components work together in practice.
They have greater clarity over how work flows, where constraints exist and how improvement activity contributes to overall performance.
For many organisations, the challenge is not recognising what good looks like. It is establishing a practical way to move towards it.
This article forms part of MBE Consulting’s “Missing Link in Actuarial Modernisation” series, exploring why improvement efforts stall, and what it takes to achieve meaningful, system-wide performance improvement.
