The Ratio of Effort to Results: The Technical Relationship Between Underwriting, Pricing, and Claims
You might not think of it, but modern core processing systems have the ability to positively influence your combined ratios. They can lower your expense ratios with operational and IT efficiencies. And they can improve your loss ratios by enhancing your underwriting precision and your pricing accuracy — and by reducing leakage by improving your claims handling. Here’s how:
Expense Ratios
Modern systems let you free resources and compress your expense ratios with:
- Configurable workflows that automate quoting, issuance, endorsements, renewals, and routine servicing. That reduces manual work and workarounds that are common with legacy systems. They reduce operating costs as a percentage of net written premium. And they increase employee productivity.
- Cloud-native architectures that lower your needs for maintenance, for mainframe and datacenter expenses, for IT-specialist support, for duplicated systems, and for integration expenses, with could be higher after SaaS licensing and implementation costs.
- API-first designs that reduce your custom-middleware and change costs. Built-in audit trails, rules engines, and reporting facilitate regulatory compliance, lower your costs for audit prep and remediation, while modern security features also reduce your breach exposures and your cyber- insurance premiums.
- Faster configurations let you amend products, rates, and rules, making you more responsive, enabling you to write more business without proportional cost spikes and increasing your premium base.
Loss Ratios
Modern systems enable you to improve risk selection, pricing, and claims outcomes with:
- Tight integration with third-party data sources, real-time validation and enrichment at intake, rules engines, and predictive analytics that reduce misclassification, adverse selection, and incomplete submissions. Better-structured data supports more accurate rating and eligibility decisions.
- Tools for Insurance-to-Value (ITV) analysis, consistent rating applications, and closed-loop feedback help ensure your premiums match your exposure, identifying where you’re underinsured and adjusting accordingly to strengthen your premium base relative to risk.
- Integrated claims modules with automated workflows, notifications, fraud detection, and faster cycle times that lower LAEs and indemnity leakage. Proactive risk insights and scenario simulation let you know if you have deteriorating risks sooner.
- Persona-based dashboards, ad-hoc reporting, AI, and machine-learning capabilities that enable better portfolio monitoring, rate adequacy analysis, and feedback from claims to underwriting.
Please Note
No modern core processing system will enable set it and forget it. Your success will depend on implementation, data migration, parallel runs, and disciplined change management. It will depend on your actual use of the system’s advanced features, rather than simply replacing your system of record. (That sound silly or obvious. But many insurers seek to replace their systems before they’ve gotten the most out of them.) It will depend on the quality of your data, your process redesign, and the extent to which the new system is accepted and adopted. (See change management above.) Perhaps most important, your success will depend on realistically assessing total cost of ownership realities —higher software fees offset by lower run costs and the opportunity cost of doing nothing, which ends up compounding your maintenance, talent, regulatory, and lost-revenue gaps).
The Bottom Line
Modern core processing systems provide the technical foundation and the operational leverage to improve combined ratios by attacking expense inefficiencies and loss/premium leakage. The proof, though, depends on your starting point and your execution.