Airports generate massive data volumes, yet teams struggle to find and analyze information effectively. This case study presents a two-layer AI solution balancing democratization with governance. Layer one: a metadata chatbot enabling all staff to discover available datasets and dashboards through natural language queries, regardless of data access permissions. Layer two: Power BI Copilot migration enabling authorized users to analyze actual data conversationally. This architecture accelerates insight generation, reduces technical team dependence and increases dashboard adoption while maintaining robust data governance.

• Governance ≠ constraint: how to democratize without compromising ownership
• Dual-layer architecture: separating discovery from analysis
• Practical implementation: technical roadmap for migration to Fabric
• Lessons learned: common mistakes and best practices