Legacy Modernization

What is Legacy Modernization in Insurance? #

Legacy system modernization transforms outdated insurance technology into modern, agile platforms that meet today's digital demands. This strategic initiative replaces or upgrades aging policy administration systems, CRM platforms, and core insurance systems built decades ago on archaic programming languages like COBOL or RPG.

The urgency is clear: these platforms lack API integration capabilities, cannot support self-service digital interactions, and create barriers to delivering seamless customer experiences.

As Michael Zelesnik, Vice President of Insurance Solutions at Equisoft, notes: "One of the reasons that the old platforms have persisted is that long-liability tail products have a persistence about them which values consistency and stability. Over time, however, they have become increasingly difficult and expensive to maintain. Concurrently, they were never designed to support the type of rapid product development processes or the diversity of servicing channels that are now needed by carriers to maintain relevancy."

US insurers are expected to invest $132.86 billion in modernization efforts in 2024, growing to $229.07 billion by 2029. According to McKinsey research, successful modernization can reduce IT costs per policy by 41% and improve claims accuracy, making it one of the most critical strategic decisions insurance executives will make this decade.

Top Modernization Strategies #

Insurance carriers have multiple pathways to modernize their legacy systems, each offering distinct advantages and trade-offs:

• Big Bang Approach: Complete replacement of the legacy system in a single, large-scale migration. While delivering rapid transformation, this carries substantial risk and typically requires months with costs exceeding millions of dollars for large insurers.
• Greenfield Approach: Running new products on modern systems alongside existing legacy platforms. This allows insurers to start fresh with new business while maintaining existing policies on legacy systems until future migration makes business sense, reducing immediate risk and investment.
• Phased Modernization: Breaking large programs into manageable components and modernizing in stages. This incremental approach offers lower risk and more manageable expenditures, following the minimum viable product (MVP) philosophy which establishes the minimum needed to meet business goals, then building on that foundation.
• API Integration: Wrapping outdated systems with contemporary application programming interfaces to enable communication with modern applications without changing the underlying infrastructure. Fast and cost-effective, though it doesn't resolve fundamental architectural limitations.
• Rehosting (Lift and Shift): Moving stable legacy applications to modern cloud infrastructure without changing core code. Delivers results quickly and inexpensively while improving performance and reducing hardware costs
• Replatforming: Moving applications to new runtime platforms with minimal code changes, striking a balance between the speed of rehosting and benefits of comprehensive modernization.
  
• Refactoring and Rearchitecting: Optimizing legacy code (refactoring) or fundamentally changing system architecture (rearchitecting) to adopt modern design patterns like microservices and cloud-native approaches.
• Complete System Rebuilding: Redesigning business logic, data models, and architecture from the ground up based on current best practices. While the most expensive and time-consuming option, it delivers fully modern systems optimized for digital customer experiences and future innovation.

Benefits of Core Modernization #

• Dramatic Cost Efficiency: Reduce IT costs per policy by 41% through automation, elimination of expensive mainframe infrastructure, and reduced reliance on scarce legacy system specialists.
• Increased Productivity: Boost operational productivity through straight-through processing, automated workflows, and seamless integration between systems.
• Superior Customer Experience: Enable digital self-service portals, omnichannel access, and personalized interactions. J.D. Power research from their 2023 U.S. Life Insurance and Annuity Satisfaction Study found that life insurance customers who use digital channels have significantly higher satisfaction, specifically 79 points higher on a 1,000-point scale, compared to those with no digital interaction.
• Accelerated Time-to-Market: Launch new products faster, bringing offerings to market in weeks rather than months or years.
• Enhanced Compliance: Built-in regulatory compliance that automatically adapts to evolving requirements across multiple jurisdictions, reducing risk and penalties.
• Scalability and Flexibility: Cloud-native architecture provides dynamic scalability and the foundation for emerging technologies like AI, machine learning, and advanced analytics.
• Data-Driven Decision Making: Unlock valuable data through real-time analytics and business intelligence, enabling predictive analytics, fraud detection, and proactive customer engagement.

Top Modernization Challenges #

• Financial Investment: Large insurers face high costs, with frequent budget overruns when unforeseen complexities emerge during implementation.
• Data Migration Complexity: Migrating decades of policy, claims, and billing data while ensuring integrity represents one of the highest-risk aspects. Data formats may no longer be usable, and large percentages of legacy data represent "dark data" unusable in modern contexts.
• Integration and Technical Debt: Multiple systems from upgrades, patches, and acquisitions create complex IT landscapes where varied systems duplicate functions and store redundant data.
• Implementation Timelines: Projects typically require months, creating extended periods of organizational stress while maintaining business operations and regulatory compliance.
• Organizational Change Management: Digital transformation typically fails due to inflexible corporate culture. Requires buy-in from stakeholders, clear communication, and helping employees develop new skills.
• Loss of Institutional Knowledge: Legacy system experts are retiring, taking critical knowledge of COBOL, RPG, and decades-old architectures with them.
• Scope Management: Balancing objectives that deliver value without taking on so much that projects become impossible to deliver on time or within budget.
• Testing Complexity: Comprehensive end-to-end testing of integrated solutions is often undervalued, increasing the risk of defects reaching production environments.

Examples of Legacy Insurance Systems #