The AI Test Case Generator is a game-changer for software testing, offering a solution to the bottlenecks of manual test case creation. It leverages advanced artificial intelligence to automatically convert diverse requirement formats into structured, contextual test cases, saving time and improving test coverage. The generator can handle various input formats, including documents and media, structured data, direct integration with JIRA, natural language, and more. Once generated, test cases can be automated on KaneAI - a GenAI-native software testing agent. The AI engine performs deep analysis to understand functional scope, identify key user scenarios, and determine testing priorities. Generated test cases are logically organized into high-level scenarios that mirror the product's functional architecture, making it easier for QA teams to assign responsibilities, track coverage, and prioritize testing efforts. Each scenario cluster represents a coherent testing theme, and every generated test case includes essential components such as complete test structure, smart prioritization, contextual tagging, and editable framework. The generator supports an iterative approach and integrates directly with LambdaTest Test Manager's comprehensive testing ecosystem. Teams using the AI Test Case Generator report significant reductions in test planning time, enhanced coverage, standardized quality, and scalable test creation.