Mastering QE in Insurance: A Blueprint for Automated Excellence

After thoroughly our client’s, we designed, implemented, and deployed a comprehensive multi-framework automation strategy that leveraged various technologies to address different aspects of the testing ecosystem. Our solution architecture ensured maximum coverage and efficiency across all applications through

• Lagacy system management: Harnessing our deep domain expertise and tailored robotic framework, we enabled the insurer to automate regression testing for end-to-end policy administration processes. The solution enabled our client to modernize over the legacy AS/400 mainframe without diving deep into the complexity of the code.
• Unifying IT Data: Integrated production environment with existing IT systems and APIs for unifying data flow and validating it to ensure and control the inputs to automation scripts for accurate test execution and process journey analysis.
• Establishing Functional Validation: Identified functional cases for validating process inputs, outputs, and journeys that included checks for data quality inputs, outcomes verification, and other steps that were a part of the process

Automation strategies implemented covered:

• Core Policy Administration: Implemented a Python-based robotic automation framework for end-to-end policy administration testing, covering critical business flows. To boost efficiencies further, we deployed a VBA-based macro script to automate routine workflows in policy administration.
• Digital Channels: Deployed a testing automation framework built on Java, Selenium, Carina, and Maven for the insurer’s digital branch application, streamlining the reliability and performance for enhanced
  user experience..
• Third-Party: Customer-Facing Platforms: Harnessed a specialized tech stack of Java, Selenium, Carina, Maven, and VBA to automate customer journey testing across insurance portals and sales platforms, ensuring seamless policy purchase experiences.