This talk explores how knowledge graphs, combined with robust knowledge governance, provide a foundation for organizing and enriching drone data. By integrating Large Language Models (LLMs) using a GraphRAG (Graph Retrieval-Augmented Generation) approach, we can support a natural language interface for question-answering and analysis. This approach not only ensures consistent, context-aware insights but also mitigates common LLM issues such as hallucination and misinformation. A practical use case involving drone data is used to show how aligning AI capabilities with a knowledge governance framework enhances data utilization, aids decision-making, and can set new standards for operational efficiency.