Testing Backend Systems and Integrations in the Insurance Sector
For one of our clients in insurance, we support the early detection of data processing and integration issues by testing backend systems before the user interface is completed.
For one of our clients in insurance, we support the early detection of data processing and integration issues by testing backend systems before the user interface is completed.
We evaluated the operational boundaries of our chatbot focused on the EU AI Act and GDPR through targeted manual testing and a collaborative technical workshop.
We support reliable insurance operations for our leading insurance client through manual and automated testing, test coordination, and test management.
We are supporting the digitalization of a complex reinsurance process at a leading insurance company from the testing side.
At the R&D organization of a leading pharma company, we participated in the testing of a digital platform that ensures transparent, traceable experiment and research processes.
We automated regression testing at a major bank, enabling a significant reduction in manual testing efforts and faster deployment of new developments.
AI-assisted testing reloaded: Launched last fall, our agent-based AI-assisted testing solution now comes with several new features.
AI and Databricks in practice: our workshop focused on real-world examples and solutions, with detailed presentations on AI-assisted testing, DWH-Databricks migration, and AI-assisted SDLC.
AI in software development? Today, that’s no longer a question.
The question is “how.” Instead of simple code generation, it’s worth thinking about the entire development lifecycle.
Can AI support the work of software testers? What could be the role of AI agents? Find out in our blog post.