Copilot in web modeling is an AI-powered assistant integrated into the Power BI service semantic model experience. It helps model authors analyze and improve their semantic models using natural language. You can use natural language with Copilot alongside manual editing to get recommendations or apply changes directly to your model, with the flexibility to seamlessly switch between manual and AI-assisted edits. Key capabilities These capabilities represent just some of the key ways Copilot can help you enhance your semantic models. You can also explore additional actions beyond this list to further refine and optimize your model. Model analysis and guided recommendations Identify opportunities such as unclear structure or inconsistent naming Suggest improvements aligned with modeling best practices to strengthen your model’s design Schema updates Rename tables and columns Create or modify relationships Generate ...
Microsoft Build 2026 marks a major shift in how developers build data experiences with AI agents. Today we're announcing two capabilities that bring agentic analytics to the forefront: Agent Skills for Power BI , which let developers prompt an AI agent to build and refine semantic models and reports, and Fabric Apps for Semantic Models , which enable AI agents to build and deploy Fabric-native web apps on semantic models. Both capabilities will accelerate the time it takes to go from raw data to a polished analytics solution with just natural language prompts. Agent Skills for Power BI (Preview) In November 2025, we released our Power BI Modeling MCP , which allowed AI agents to interact with Power BI’s semantic layer, enabling massive productivity gains in semantic model authoring. Agent Skills for Power BI brings a true end-to-end agentic development workflow not just for Power BI semantic models but for Power BI reports too using Power BI Projects (PBIP). Instead of manually b...