Our generative AI research explores how to make advanced models more effective and trustworthy. We study optimizations to retrieval-augmented generation (RAG) for stronger performance, develop integrated explainability layers that bring clarity to raw data and complex statistical analysis, and investigate automation techniques that demonstrate how AI can accelerate workflows, increase productivity, and drive future innovation.