(1) Vendor needs to provide AI–driven test case creation tool to enhance the software testing process. – Automate the generation of test cases from multiple document types and sources. – Improve the speed and accuracy of the testing cycle. – Minimize time spent by humans in developing test cases while maintaining high–quality test coverage. – The tool must automatically generate test cases based on input from various sources like user stories, requirements documents, and existing codebases. – The AI should prioritize test cases based on risk, criticality, and coverage. – The tool should also suggest optimizations to improve the testing process, such as identifying redundant tests or tests with low value. – Generate comprehensive reports that include test case details, pass/fail results, coverage metrics, and any issues found. – Machine learning models should evolve to adapt to changes in the codebase and requirements. – Allow users to define custom templates for different types of tests (e.g., functional, performance, regression, etc.) and ensure that AI–generated test cases align with these templates. (2) All question must be submitted no later than February 05, 2026. (3) A contract period will be for one year.