Agentic testing is revolutionizing quality assurance. Instead of rigid scripts, we rely on autonomous AI agents that independently understand test objectives, dynamically generate test cases, and adapt in real time. They act like human testers – but with the speed and scalability of a machine.
Agentic testing utilizes autonomous AI agents that not only execute static scripts but also learn independently, make decisions, and adapt to changing application environments. The focus is on autonomy, adaptation, and targeted execution.
Unlike traditional automation based on rigid selectors, agents use visual perception and context to identify elements. This drastically reduces maintenance overhead and enables a significant acceleration of release cycles.
We have proven expertise and offer flexible formats to successfully establish agentic testing in your company.
Case Study: 🏆 Victory at the global UiPath AgentHack 2025
This success is no accident. It demonstrates that we not only understand agentic testing, but also implement it practically and in an award-winning manner. Our "Avalon" project, developed with LGT Bank, demonstrates the immense potential of AI agents in test data management.
Avalon is an AI test agent that autonomously generates complex test data for the banking software Avaloq based on simple voice prompts. The result: approximately 50% efficiency gains, faster releases, and significantly less manual preparation.
Would you like to utilize our expertise and implement technological innovations?


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