We developed an AI-driven energy optimization system leveraging Python, LangChain, LangFlow, and Retrieval-Augmented Generation (RAG) to analyze consumption data and provide actionable energy-saving insights. The solution combined multi-agent orchestration with intelligent reasoning to deliver value for both users and enterprises.