As a seasoned leader in the insurance and Insurtech space, Simon Glairy brings a wealth of expertise in navigating the complexities of risk management within an increasingly volatile global landscape. With a career defined by integrating AI-driven risk assessment with traditional underwriting discipline, he has become a pivotal voice for insurers looking to balance technological innovation with human oversight. In this conversation, we explore the shifting dynamics of the US commercial insurance market, the rising importance of specialized risk engineering, and how carriers are maintaining profitability amidst inflationary pressures and climate-related challenges.
Current litigation pressures and catastrophe risks have created a climate of elevated volatility for insurers. How are these factors reshaping your specific risk-selection criteria, and what internal technical guardrails do you prioritize when deciding which risks are too volatile to underwrite?
The current landscape is one I would characterize as a phase of “elevated volatility,” where the traditional broad market cycles are being replaced by highly segmented pockets of risk. We are moving away from reactive, broad-brush underwriting and toward a disciplined, risk-by-risk approach that prioritizes technical guardrails over market share. For us, a risk becomes too volatile when the litigation environment or catastrophe exposure outpaces our ability to structure a sustainable return, leading us to tighten standards in catastrophe-exposed property and casualty lines facing severe pressure. We rely on harmonized global underwriting standards to ensure that every individual risk is assessed on its own merits, ensuring that we only scale in areas where the risk quality and structure align perfectly with our long-term profitability requirements.
While higher interest rates boost investment income, rising replacement costs and loss adjustment expenses continue to squeeze margins. How do you maintain underwriting discipline despite improved investment returns, and what specific steps are required to ensure pricing adequacy in inflation-sensitive sectors like construction?
It is a common pitfall to let improved investment income mask underlying underwriting weaknesses, but we maintain the firm stance that investment returns do not replace underwriting profitability. In inflation-sensitive sectors like construction, we are seeing a significant surge in replacement costs and loss adjustment expenses, which necessitates a rigorous focus on pricing adequacy through the cycle. To combat this, we implement clear technical guardrails that force a granular look at exposure assessments, ensuring that our premiums accurately reflect the current economic reality of material and labor costs. Our strategy focuses on sustainable margins, meaning we will only commit capacity to construction projects where the pricing structure is robust enough to absorb the shock of persistent inflationary trends.
Many businesses are shifting toward captives and parametric products to better manage market fluctuations. Could you walk through the practical process of transitioning a client from a traditional policy to an international program? What specific trade-offs should a company expect during this transition?
Transitioning a client to an international program or an alternative risk solution like a captive is a deeply collaborative process that starts with identifying where traditional risk transfer no longer meets their financial objectives. We work closely with multinational clients to harmonize their global coverages, often moving them toward a structure that provides greater transparency and speed in claims handling across different jurisdictions. The trade-offs are significant: while the client gains more control over their risk and potentially lower long-term costs through parametric products, they must also take on a more active role in risk retention and data management. It requires a shift in mindset from simply “buying insurance” to becoming a partner in risk engineering, where the focus is on managing volatility through tailored international programs rather than just transferring it.
Energy and environmental liability sectors offer growth opportunities, while catastrophe-exposed property remains a difficult segment. What specialized expertise or risk engineering support is necessary to scale successfully in these complex sectors? How do you apply these tools to mitigate severity in casualty lines?
To scale in complex fields like Energy & Power or Environmental Liability, you cannot simply be a capacity provider; you must be a specialist who understands the intricate engineering behind the risk. We deploy dedicated risk engineering support to evaluate the physical and operational integrity of these assets, which allows us to differentiate between a standard risk and a high-quality one that meets our “Xcelerate29” strategy standards. This same engineering-led approach is vital in mitigating severity in casualty lines, as it allows us to implement claims prevention strategies before an incident even occurs. By using data-driven tools to identify high-severity triggers, we can provide clients with actionable insights that reduce their loss profile, making even the most difficult segments more manageable and underwritable.
Automation is increasingly used to handle repetitive tasks, allowing underwriters to focus on client engagement and risk engineering. How do you ensure that human expertise remains at the center of portfolio decisions as data-driven tools become more common? What metrics indicate that this balance is working?
While we are investing heavily in the automation of repetitive, low-value tasks to drive operational efficiency, we remain steadfast in the belief that underwriting and portfolio decisions must stay under human responsibility. The goal of our digital enablement is to free our experts to spend more time on high-value activities, such as deepening broker relationships and performing complex risk engineering on-site. We measure the success of this balance by looking at our “profitable growth” metric—if we are scaling in specialized sectors while maintaining our strict return requirements, it proves that our data tools are empowering, rather than replacing, human judgment. Another key indicator is the speed and clarity of our responses to clients; when technology handles the data crunching, our underwriters can provide the transparent, expert-led decisions that the market currently craves.
What is your forecast for the US commercial insurance market?
I anticipate that the US commercial insurance market will remain in a state of flux for the foreseeable future, defined by a gradual transition toward more selective competition as carriers navigate rising loss costs. We will likely see a continued flight to quality, where businesses favor insurers who offer specialty-led differentiation and a local presence over those offering generic, capacity-driven solutions. Success in this environment will belong to the disciplined; those who can marry sophisticated data-driven underwriting with close client proximity will build a stronger, more competitive long-term footprint. My forecast is that while volatility will persist, it will create a significant opening for specialized carriers to lead through consistency, technical excellence, and a commitment to risk engineering.
