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AI-Powered Underwriting Automation Reduces Decision Time by 80%

About the Client

The client is a large health insurer relying on manual underwriting reviews and rigid legacy rules. These processes slowed risk assessment and extended underwriting decisions to ten days. The insurer needed a modern, automated solution to streamline underwriting while maintaining appropriate human oversight. To enable this transformation, the organization partnered with Zymr.

Key Outcomes

80% Reduction in Underwriting Turnaround Time
Underwriting Decisions Reduced From 10 Days to 2 Days

Business Challenges

The insurer relied heavily on manual underwriting reviews, making risk assessment time-consuming and dependent on repetitive human effort. Legacy rules lacked the flexibility needed to support evolving underwriting criteria and more efficient decision-making.

The existing process required underwriters to review risk information manually, creating delays in reaching final decisions. This extended underwriting turnaround to as much as ten days and limited operational efficiency.

Historical data was not seamlessly integrated into the underwriting process, making it more difficult to incorporate relevant information into risk evaluation. The insurer also needed a way to manage exceptions without requiring manual intervention for every underwriting case.

The organization needed an AI-powered underwriting platform that could automate repetitive decision-making, improve risk assessment, and maintain human oversight for complex or exceptional cases.

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Business Impacts / Key Results Achieved

Zymr helped the insurer modernize its underwriting process with an Azure-based automation platform designed to improve risk evaluation and accelerate decision-making. The solution streamlined underwriting operations while preserving human review where required.

  • Underwriting Turnaround Reduced from 10 Days to 2 Days
  • Automated Risk Scoring for Faster Decision-Making
  • Configurable Underwriting Criteria for Flexible Rule Management
  • Historical Data Integration to Support Risk Assessment
  • Exception-Based Human Review for Complex Underwriting Cases

Strategy and Solutions

Zymr engineered an Azure-based underwriting automation platform designed to streamline risk evaluation and improve end-to-end underwriting efficiency.

  • Automated Risk Scoring
    Implemented automated risk scoring to reduce manual effort and accelerate underwriting decisions.
  • Configurable Underwriting Criteria
    Enabled flexible underwriting criteria to replace rigid legacy rules and support changing business requirements.
  • Historical Data Integration
    Integrated historical data into the underwriting workflow to support more informed risk evaluation.
  • Exception-Based Human Review
    Established human review workflows for exceptions and complex cases requiring additional underwriting judgment.
  • Azure-Based Automation Platform
    Built the solution on Azure to support scalable and streamlined underwriting automation.
  • Underwriting Workflow Automation
    Replaced repetitive manual reviews with automated workflows to reduce processing time and improve operational efficiency.

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