Time savings can reach up to 75%, significantly shortening the time-to-market
Manual testing and testing with classic frameworks are resource-intensive and time-consuming. Using msg.ZenTestAI you can greatly minimize the effort needed for creating test cases and conducting regression tests: Utilizing natural language descriptions instead of intricate test code and opting for automation over manual execution. This directly results in a substantial cut in costs.
Enter your specific values into our value calculator to instantly view your individual savings potential – clear and straightforward.
AI First – How msg.ZenTestAI Transforms Your Test Automation
The pressure on software testing is increasing — but with the right application, you can remain ahead of the curve. Learn how msg.ZenTestAI converts challenges in the testing process into opportunities for success.
Conventional tests demand technical skills and considerable time investment. msg.ZenTestAI allows for the creation and execution of tests purely through natural language descriptions — no coding skills necessary.
Changes in the UI often lead to substantial adaptation efforts. With msg.ZenTestAI, you can develop resilient tests that remain unaffected by UI changes. This facilitates the automated execution of consistent regression tests.
Understanding test results typically necessitates the expertise of seasoned testers or developers. In contrast, msg.ZenTestAI offers straightforward insights along with visual support like screenshots and videos, allowing business teams to operate autonomously.
Integrating new tools into CI/CD pipelines, core systems, or platforms is often resource-intensive. msg.ZenTestAI integrates effortlessly into existing toolchains or CI/CD pipelines and can function anywhere: In the cloud and on-premise.
AI tools often require learning and training. msg.ZenTestAI can be deployed out-of-the-box and works with all standard AI models for optimal flexibility.
Experience msg.ZenTestAI
Discover how msg.ZenTestAI tests complex web applications quickly and flexibly using natural language test case descriptions – illustrated with the Porsche Car Configurator as a case study.
Test steps are intuitively formulated, executed live and evaluated in detail – including automatic error identification when unexpected behavior occurs. This exemplifies the straightforward nature of contemporary AI-driven testing in action.
These companies save time and resources using msg.ZenTestAI
