Case Study

Insurance Quality Enablement Using A Model-Based Approach

QMT automation enabled 30x increase in test coverage, 80% reduction in manual QA effort, and faster end-to-end testing

This case study explores the adoption of QMT within a US life insurance carrier, demonstrating how a visual, model-based framework can dynamically generate end-to-end automated tests across complex ecosystems. Unlike traditional QA approaches, QMT leverages XML introspection, combinatorial data analysis, and codeless visual modeling to automatically create test scenarios that span multiple systems, including digital applications, underwriting engines, and policy administration platforms. The carrier achieved dramatic improvements in test coverage (30x increase), efficiency (80% reduction in QA FTE demand), and cost savings, while reducing defects and increasing stakeholder confidence.

What you’ll learn from this case study:

  • How model-based testing automates end-to-end tests across complex insurance systems.
  • How the carrier reduced manual testing, cut costs, and accelerated QA processes.
  • How QMT integrates seamlessly with Agile, CI/CD pipelines, and DevOps for real-time testing.
  • How increased test coverage and fewer defects improved overall quality and stakeholder confidence.

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