The State of California is seeking information from vendors offering AI-driven tools designed to automate and optimize software test case creation. The ideal solution will enhance the software testing process by automatically generating test cases from various sources, including user stories, requirements documents, and existing codebases.

Key requirements for the tool include the ability to increase the speed and accuracy of the testing cycle, reduce manual effort, and maintain high-quality test coverage. The AI component should prioritize test cases based on risk, criticality, and coverage, while also providing suggestions to optimize the overall testing process, such as identifying redundant or low-value tests. Comprehensive reporting capabilities are essential, including detailed test case information, pass/fail results, coverage metrics, and any issues identified.

Additionally, the solution should utilize machine learning to adapt alongside changes in code and requirements, and allow users to define custom templates for various test types, ensuring alignment between AI-generated and organization-specific testing needs. The anticipated contract period for this tool will be one year.