Software Testing
for Insurance Companies

Guaranteed Quality for Insurers

Primary insurers and reinsurers rely on us to provide quality assurance in regulated and business-critical delivery environments. We support them with everything from modernisation programmes and migrations to digital sales and service platforms.

Since 2011, we have helped insurers to deliver projects and programmes in a secure, sustainable and efficient manner. Our quality assurance experts integrate business processes, technical dependencies and regulatory requirements. Depending on your needs, we can provide targeted support and tailored enablement for your business unit, as well as the reliability and scalability of a long-term IT partner.

We ensure that our quality assurance is consistently aligned with your core business processes for projects ranging from property and casualty, life, health, and occupational pension insurance to claims and benefits processes.

The Use of AI in Insurance Projects

Are you currently in the process of integrating AI into your insurance projects, or have you already gained experience with it at your insurance company? Since generative AI became widely available, we’ve been distinguishing between the following in the testing field:

1. testing AI as a test subject,
2. testing with AI as a powerful tool to accelerate the testing process,
3. Testing AI-generated software in your development process.

Rely on our experience in testing with and of AI, as well as in quality assurance for AI-generated software, to become even faster, more thorough, and more efficient. Among other things, we support you in analyzing requirements in the areas of applications, policy portfolios, claims, and benefits; identifying risks; prioritizing tests; and creating initial test plans. All employees in our Insurance Business Unit hold the A4Q AI Essentials certification and also possess advanced qualifications, including ISTQB AI Tester and ISTQB GenAI Tester certifications. From the very beginning, we take data protection, compliance, and your organizational requirements in the insurance sector into account and integrate the use of AI in a transparent manner—both into your existing processes and governance structures and —in accordance with regulatory and compliance standards.

Performance and Load Testing for Business-Critical Insurance Processes

We ensure that business-critical insurance processes function quickly, smoothly, and reliably even under high usage—for customers as well as for employees in the business units, service, and claims processing departments. To this end, we test digital application workflows, customer and broker portals, policy changes, claims submissions, and billing processes under realistic load scenarios. In doing so, we identify bottlenecks in applications, interfaces, and infrastructure and highlight critical vulnerabilities early on. Whether it’s JMeter, LoadRunner, Gatling, k6, NeoLoad, or other setups: We use existing tools pragmatically or recommend solutions tailored to your specific context.

Your benefit:

• Improved usability for customers and employees, even under heavy load
• Early identification of performance risks and bottlenecks
• Reliable decision-making foundations for optimization and go-live

Test Data & Test Environment Management

Reliable quality assurance in the insurance industry requires more than just good test cases. Test data must be functionally appropriate and compliant with data protection regulations. Test environments must run stably and be usable for the respective test phases. We structure the provision, use, and control of data and environments, create transparency regarding dependencies, and document statuses, handoffs, and approvals in a traceable manner. In doing so, we take your existing processes, tools, and delivery structures into account—from contract and policy data to claims and benefits data, all the way to billing information.

Your benefit:

• Appropriate data and stable environments for reliable test results
• Fewer bottlenecks thanks to clear processes and dependencies
• Improved predictability across test phases and approvals

QA Assessment, Maturity Analysis & Test Process Improvement

Using a QA assessment, we evaluate the current state of quality assurance at the organizational, project, or team level in insurance companies. To do this, we analyze roles, processes, governance, metrics, tool usage, test automation, test data and environment management, as well as collaboration and communication. Based on this analysis, we identify prioritized improvement measures and develop a concrete implementation plan with clear goals, measurable benefit criteria, and appropriate formats such as a maturity model, key metric analysis, or retrospectives. The result is not an abstract maturity assessment, but a robust roadmap for the targeted improvement of your testing process.

Your benefit:

• A clear overview of strengths, gaps, and areas for improvement
• Prioritized measures with a robust implementation strategy
• Measurable progress in the effectiveness, efficiency, and manageability of QA