Singapore Insurers Struggle with Legacy Systems

By International Desk: Singapore’s insurance sector stands at a pivotal crossroads, where ambitious pursuits of artificial intelligence and digital innovation collide with the persistent drag of outdated technology infrastructure.

According to recent industry research from Clearwater Analytics, which surveyed asset management executives at Singapore-based insurers managing a combined total of over $1 trillion in assets, a striking disconnect exists between self-perception and operational realities. While 82 percent of respondents view their organizations as leading competitors in digital adoption, a resounding 98 percent acknowledge that legacy systems continue to constrain business performance, influence strategic decisions, and limit scalability.

This gap between confidence and capability is not unique to Singapore but reflects broader challenges across the Asia-Pacific insurance landscape. Many established players still rely on core systems built decades ago, often on mainframes or rigid architectures that struggle to integrate with modern tools like AI, cloud computing, and real-time analytics.

These older platforms create data silos, increase maintenance costs, and slow down critical processes such as underwriting, claims handling, and customer personalization. Industry analyses suggest that a significant portion of insurers, sometimes estimated around 70 percent globally, remain heavily dependent on such legacy setups, leading to technological debt that hampers agility in a fast-evolving market.

Compounding these technical hurdles are human and cultural factors. Nearly all surveyed executives, specifically 96 percent, highlighted internal resistance to change as a major barrier to adopting new ways of working. Organizational cultures that lack diversity in thinking and experience were cited by 72 percent as contributing to sectoral problems, while about half reported difficulties in hiring talent skilled enough to manage and maintain aging systems.

A notable 70 percent also felt their operating models were overly focused on immediate priorities at the expense of addressing longer-term strategic challenges. As Shane Akeroyd, Chief Strategy Officer and President of Asia Pacific at Clearwater Analytics, noted in related commentary, these issues raise concerns about organizations’ long-term ability to realize their full potential amid ongoing industry consolidation.

Despite the obstacles, optimism persists. None of the respondents believed they were falling behind peers digitally, with 18 percent seeing themselves as on par and the remainder positioning their firms as frontrunners. A strong 94 percent expressed confidence that their current operating models possess the flexibility needed to tackle emerging demands.

This self-assured outlook aligns with Singapore’s broader push toward technological leadership in financial services, supported by proactive regulatory efforts from the Monetary Authority of Singapore (MAS). Initiatives like PathFin.ai facilitate knowledge sharing on AI implementations, while programs promoting responsible AI adoption, cloud migration, and innovation sandboxes help institutions experiment safely.

Singapore has positioned itself as a testing ground for AI-enabled insurance solutions, from enhanced risk assessment to automated advisory tools, all while emphasizing governance principles around fairness, ethics, accountability, and transparency.

Looking ahead, modernization efforts are gaining momentum. Surveys indicate that a high percentage of Singaporean carriers, around 75 percent in some reports, have plans to replace or overhaul core insurance management platforms, exceeding global averages.

Approaches vary from gradual API integrations that “wrap” legacy systems for improved functionality without full rip-and-replace, to comprehensive cloud-based transformations and adoption of modular, scalable platforms. Successful cases in the region demonstrate how such shifts can reduce operational costs, accelerate fraud detection through AI, streamline claims processing, and enable more tailored customer experiences.

For instance, insurers implementing integrated suites have reported notable gains in efficiency and profitability after years of legacy-induced constraints.

The drive for transformation is further fueled by market dynamics. With 94 percent of Singapore insurers anticipating heightened mergers and acquisitions activity, those who successfully bridge the divide between digital aspirations and legacy limitations will be better placed to lead consolidation rather than become acquisition targets.

Legacy systems not only inflate costs and slow innovation but also pose risks in areas like cybersecurity, regulatory compliance, and responsiveness to climate-related or cyber threats, areas where AI and advanced analytics could provide significant advantages if properly supported by modern infrastructure.

Broader industry reports, including those from McKinsey, Deloitte, and others, underscore that effective AI scaling in insurance often requires addressing foundational issues first: cleaning fragmented data, modernizing IT landscapes, and fostering cultures open to change.

Talent shortages and governance gaps remain common pitfalls, yet the potential rewards are substantial, ranging from more accurate underwriting and personalized products to operational efficiencies that could reshape competitive positioning across Southeast Asia.

For Singapore’s insurers, the path forward involves balancing bold AI ambitions with pragmatic steps to modernize the underlying technology stack. Regulatory support, combined with strategic investments in cloud, data management, and workforce upskilling, offers a strong foundation.

Those who close the perception-reality gap stand to enhance customer trust, improve resilience, and capture growth opportunities in an increasingly digital and interconnected insurance ecosystem.

As the sector evolves, the winners will likely be those who treat legacy challenges not merely as technical problems but as strategic imperatives demanding sustained attention and cross-functional collaboration.