Rethinking Core Application Strategy in Commercial Insurance

For years, commercial insurance modernization lagged because it was not the priority. Investment and attention flowed to Personal Lines, where scale and standardization opportunities led to increasingly sophisticated product capabilities, foundational platform renewal, and clearer economic returns. Commercial insurance, particularly Middle Market, Large and Specialty, was largely allowed to remain manual and bespoke, often mainframe bound, receiving limited investment across the value chain. A prolonged hard market further deferred the perceived need for change, masking operational inefficiencies rather than resolving them.

As modernization efforts finally turn toward commercial, thinking has drifted toward a deceptively simple answer borrowed from the Personal Lines experience: replace or heavily extend the core. In practice, this means expecting a single platform to serve simultaneously as product engine, underwriting desktop, workflow system, and system of record. That convergence is understandable, but it is also risky. Treating the core as the centre of gravity for all commercial activity oversimplifies how the business actually operates, especially outside small, standardized segments, and delays the harder work of building capabilities that genuinely elevate underwriting performance.

Underwriting remains judgment heavy, exception driven, and relationship based for many segments and core system modernization doesn't always impact this meaningfully. Even as AI advances, the near term reality is not less human involvement, but more human led work that is increasingly assisted by intelligent tools. That work lives in inboxes, spreadsheets, broker conversations and third party systems, places that do not map cleanly to transactional platforms designed primarily for consistency and control. While the core remains essential as a system of record, investment across the broader journey, particularly intake, triage and servicing, has also often been limited.

The challenge isn’t just scale in the Personal Lines sense. Commercial volumes are lower, workflows are less standardized, and outcomes depend heavily on human judgment. That combination makes deep configuration and long, Personal Lines–style implementations harder to justify economically. Each additional rule, screen, or exception carries real cost without delivering the same leverage seen in high volume, straight through environments.

A nuanced pattern is emerging. Modern cores still matter, especially as carriers move off mainframe and prepare for future change. Some may even prove nimble enough to move upstream, embedding workbench like capabilities or enabling AI driven extension. Advances in AI, in particular, create an opportunity to emulate aspects of human judgment beyond rigid, rule driven core logic. But that only works with clear intent and a willingness to think beyond the core itself. Whether through platform evolution or purposeful custom build, the work ahead looks less like a single system and more like an ecosystem as well as a changing understanding of what “core” means.