Keep the Core but Get More: Augment Insurance Systems for Ratings and Pricing
November 18, 2024
Rating and pricing are among the most essential functions in insurance underwriting, directly impacting risk reduction and profitability. Insurers need precise rating and pricing processes to avoid over- or underpricing, ensure regulatory compliance, and maintain customer trust and loyalty.
Traditionally, these processes rely on monolithic and complex legacy systems that can restrict speed, accuracy, and adaptability. But there’s a better way to optimize rating and pricing without disruption to the core systems insurers depend on and are hesitant to replace.
By integrating a powerful low-code rules engine alongside their tech stack, insurers can run rating and pricing processes with near invisibility, avoiding any interference with legacy systems. The result is a win-win, as insurers can confidently augment rating and pricing capabilities while preserving their primary technology.
The Challenges of Legacy Systems in Ratings and Pricing
Legacy systems are designed to handle a wide range of insurance processes but are not optimized for today’s demands in rating and pricing. When insurers rely solely on these systems, they can face significant issues:
Slow and Costly Updates: Even minor updates to a legacy system can require extensive coding, testing, and deployment, costing both time and resources.
Rigid Infrastructure: Legacy systems aren’t built for the agility needed in today’s fast-paced market. Customizing them to accommodate frequent rating and pricing adjustments can lead to high costs and inefficiencies.
Limited Integration: To remain competitive, insurers increasingly need third-party data, such as real-time customer information, risk data, or market insights, into their pricing models. However, legacy systems often struggle to integrate data seamlessly, limiting insurers’ ability to make data-driven pricing decisions.
Enhancing Ratings and Pricing with Low-Code Automation
1. Improving Rating Accuracy and Efficiency
Low-code platforms with a rules engine, like Decisions, streamline the rating process, ensuring consistent risk assessments with minimal manual input.
Automated Risk Classification: Rules engines instantly classify risk by analyzing factors like age, location, and claims history, reducing errors and ensuring consistent policy evaluation.
Data Consistency: Automated rules minimize manual entry, improving accuracy.
Scalability for High-Volume Processing: Automation platforms handle large volumes of ratings requests, enabling efficient processing during peak periods.
2. Streamlining Pricing Calculations with Integration and Flexibility
Pricing calculations often require multiple data sources. A low-code platform seamlessly integrates these into a unified workflow.
Integration with Legacy and External Data Sources: APIs pull real-time data from various systems, ensuring accurate, up-to-date pricing.
Dynamic Pricing Adjustments: Insurers can quickly modify pricing rules in response to new strategies or market changes.
Using low-code automation for rating and pricing offers advantages beyond what legacy systems alone provide:
Faster, Accurate Decisions: Automated rules accelerate risk assessments and premium calculations.
Lower Operational Costs: Automation reduces time and effort, freeing resources for strategic initiatives.
Enhanced Compliance and Reliability: Consistent automation supports compliance, reducing risk and building trust.
Greater Scalability and Flexibility: Automation scales with demand fluctuations, while low-code flexibility allows for quick rule adjustments as regulations change.
The Bottom Line: Competitive Advantage Through Modernization
Ultimately, integrating a rules engine offers insurers a path to modernization that retains the stability of their legacy systems while enhancing their capabilities. It’s a seamless, low-risk approach to future-proofing the business for long-term success in a highly competitive and evolving industry. By running a powerful low-code platform alongside existing technology, insurers can:
Maximize their technology investments without disruptive replacements.
Adapt quickly to regulatory changes and market demands.
Deliver tailored pricing that resonates with customers and builds loyalty.
Ready to optimize your ratings and pricing? Book a demo with our team to see how Decisions can transform your process efficiency.
Cecelia Troyan is a content strategist and writer at Decisions. She is passionate about accessible digital content and communication.
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