Maintain comprehensive documentation of code, testing methodologies, automation frameworks, AI prompts and evaluation criteria, approved datasets, model or tool versions, quality metrics, and support activities to strengthen organizational knowledge, reproducibility, and auditability.". Define and execute validation strategies for AI-powered applications and models, including functional accuracy, grounded Ness and hallucination testing, robustness, consistency, safety, privacy, explain ability, drift monitoring, and adversarial testing.