By identifying changes in elements at both the code and UI layer, AI auto-heals broken tests after each execution. This allows teams to stabilize test automation while reducing time and costs on maintenance.

By analyzing changes to your custom code, business processes and integrations, Risk AI for SAP can quickly pinpoint high risk areas of your system that need to be prioritized for testing. This helps cut your release scope by 85% or more and achieve 100% risk coverage.

Utilizing a secure Azure OpenAI model and few-shot learning, our Gen AI test generator efficiently builds manual test steps by analyzing your requirements and user stories, transforming natural language descriptions into meaningful test sequences.

Powered by generative AI, this chatbot functions as an intelligent help assistant, synthesizing information to deliver relevant answers to user queries, speeding up user onboarding and enhancing their ability to effectively use the application.

Tricentis Device Cloud’s Mobile AI engine uses convolutional neural networks to analyze mobile interfaces for audio, video, and image quality, providing analytics on performance and user experience, with trend analysis across different devices and locations.

Testim uses enhanced ML-based locators across both mobile and web apps that continuously train and improve for greater adaptability, accuracy and resilience to UI changes.