This talk shows how AI can boost QA automation by generating high-level, human-readable test cases and transforming them directly into executable automated test code. Through practical examples, we demonstrate how AI can assist in creating test scenarios from requirements or existing documentation, convert them into automation-ready tests, and reduce effort and maintenance in large test suites, focusing on real automation workflows, clear benefits, and practical considerations for adopting AI-assisted test automation.
