Best practices in P&C policy administration system modernization

Outdated systems continue to hinder insurer innovation, operational efficiency and customer satisfaction.

Legacy systems in P&C insurance often date back decades, built on outdated technology that lacks the flexibility and scalability required in today’s market. (Credit: Twin Design/Shutterstock)

In the ever-changing world of property and casualty (P&C) insurance, legacy policy administration systems have become a significant hurdle for insurers striving to stay competitive.

These outdated systems, often decades old, are hindering innovation, operational efficiency, and customer satisfaction.

As a senior technical lead with more than 13 years of experience in policy administration systems, I have seen the challenges and opportunities that come with modernization efforts. Modernizing policy administration systems is not merely a matter of upgrading software; it’s a strategic imperative to stay competitive in an increasingly digital world.

In this article, we’ll explore the key challenges posed by legacy systems and strategies for successful modernization.

The burden of legacy systems

Legacy systems in P&C insurance often date back decades, built on outdated technology that lacks the flexibility and scalability required in today’s market. These systems were initially designed to handle specific tasks such as policy management, underwriting and claims processing. While they may have served their purpose well in the past, they now pose significant challenges such as:

  1. Complexity and inflexibility. Legacy systems are often complex, monolithic structures that are difficult to modify or integrate with modern technologies. This rigidity makes it challenging for insurers to adapt to new regulatory requirements, customer expectations and market dynamics.
  2. High maintenance costs. Maintaining and supporting legacy systems can be prohibitively expensive. The costs associated with maintenance, licensing and technical support drain resources that could otherwise be allocated to innovation and growth initiatives.
  3. Limited data accessibility. Legacy systems may store data in disparate formats or silos, making it difficult to access and analyze information efficiently. This hampers data-driven decision-making and impedes efforts to enhance customer experience and operational efficiency.

The case for modernization

The urgency to modernize policy administration systems stems from the need to overcome these challenges and unlock new opportunities such as:

  1. Enhanced agility and innovation. Modern systems based on cloud computing, microservices architecture and API integrations offer insurers the agility to adapt quickly to changing market conditions. This flexibility enables rapid product development, seamless customer interactions and innovative service offerings.
  2. Improved customer experience. A modernized policy administration system enables insurers to deliver personalized, omnichannel experiences to policyholders. By leveraging advanced analytics and AI-driven insights, insurers can anticipate customer needs, offer tailored products and streamline claims processing.
  3. Operational efficiency. Streamlined processes and automation reduce manual intervention, minimizing errors and speeding up policy issuance and claims settlement. This efficiency not only enhances productivity but also reduces operational costs, improving the bottom line.

Strategies for successful modernization

Phased approach: Rather than attempting a complete system overhaul, many insurers find success in a phased modernization approach. This strategy involves gradually replacing components of the legacy system with modern modules. For example, you might start by modernizing the policy rating engine, then move on to claims processing, and so on. This approach minimizes disruption and allows for continuous assessment and adjustment.

Cloud migration: Moving policy administration to the cloud offers numerous benefits, including scalability, reduced infrastructure costs and improved disaster-recovery capabilities. Cloud-native solutions also facilitate easier integration with third-party services and data sources, enhancing the overall capabilities of the system.

API-first architecture: Implementing an API-first architecture allows for greater flexibility and easier integration with both internal and external systems. This approach enables insurers to create a more connected ecosystem, leveraging insurtech innovations without overhauling the entire core system.

Data migration and cleansing: One of the most critical and challenging aspects of modernization is data migration. It’s essential to cleanse and standardize data before moving it to the new system. This process often uncovers data quality issues that have been hidden in legacy systems for years. Addressing these issues not only improves the new system’s effectiveness but also enhances overall data integrity.

User-centric design: When designing the new policy administration system, it’s crucial to focus on user experience for both internal staff and customers. Intuitive interfaces, streamlined workflows, and self-service capabilities can significantly improve adoption rates and satisfaction levels.

Regulatory compliance integration: Modern policy administration systems should have built-in compliance features that can be easily updated as regulations change. This integration reduces the risk of non-compliance and simplifies reporting processes.

Technology adoption: Embrace emerging technologies such as AI, machine learning, robotic process automation (RPA), and blockchain to drive innovation and efficiency gains. Leverage cloud-native solutions for scalability, flexibility, and cost-effectiveness.

The future of P&C policy administration

As we look to the future, policy administration systems will continue to evolve. Emerging technologies like artificial intelligence and machine learning are already being integrated into modern systems, enabling more accurate risk assessment and personalized pricing. The Internet of Things (IoT) is providing new data sources for real-time risk monitoring, particularly in areas like usage-based insurance.

Moreover, the concept of “open insurance” is gaining traction, with policy administration systems becoming platforms that can easily connect with a wider ecosystem of services and data providers. This shift will enable insurers to offer more holistic and innovative products to their customers.

Modernizing P&C policy administration systems is a complex but necessary journey for insurers looking to remain competitive in today’s digital landscape. By adopting a strategic approach to modernization, leveraging cloud technologies, and focusing on user experience and data integration, insurers can overcome the limitations of legacy systems. The result is a more agile, efficient, and customer-centric organization ready to meet the challenges and opportunities of the evolving insurance market.

Sharmila Devi Chandariah

As the insurance industry continues to transform, those who successfully modernize their core systems will be best positioned to innovate, grow and deliver value to both their customers and shareholders. The time to act is now — the future of P&C insurance is digital, data-driven and customer-focused.

Sharmila Devi Chandariah is a senior technical lead at Capgemini America and a senior member of the  Institute of Electrical and Electronics Engineers (IEEE). Chandariah has more than a decade of experience in the P&C insurance industry. Any opinions expressed here are the author’s own.

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