Master Power BI Copilot with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Power BI Copilot powerful for business intelligence workflows.
Power BI Copilot does not have a standalone price. To use it, your organization must have a Microsoft Fabric capacity of at least F64 or a Power BI Premium P1 capacity, which starts at approximately $5,000/month for pay-as-you-go F64 SKUs. There is no per-user Copilot license â once the capacity is provisioned and a tenant admin enables the feature, all eligible Power BI Pro and PPU users in the tenant can use it. This makes it primarily an enterprise offering rather than something a small team or individual can adopt.
Copilot can create entire report pages from a semantic model based on a natural language prompt, suggest content for a specific topic or audience, write narrative summaries of pages or individual visuals, and answer conversational questions about the data. It can also generate and explain DAX measures, which helps analysts who are less comfortable with the formula language. In Power BI Desktop, it additionally helps with semantic model creation by suggesting synonyms and metadata that improve future Copilot results.
No. Power BI Copilot is built on Azure OpenAI Service running inside Microsoft's enterprise boundary, not the public OpenAI API. Microsoft's documentation states that prompts, responses, and your underlying data are not used to train the foundation models, and the data stays within your tenant's geographic boundary when the Fabric capacity is in a supported region. Copilot also fully respects row-level security, object-level security, and sensitivity labels applied to the semantic model.
Copilot relies almost entirely on the metadata of your semantic model â table names, column names, measure descriptions, and synonyms. If columns are cryptically named (like 'col_A') or measures lack descriptions, Copilot has no context and produces generic or incorrect output. Microsoft recommends using clear, business-friendly names, adding descriptions to measures and tables, marking date tables, and using the Q&A linguistic schema. Investing in good model hygiene typically improves results dramatically.
Compared to the other Business Intelligence AI tools in our directory, Power BI Copilot wins on Microsoft 365 integration, governance, and being part of a broader productivity suite. Tableau Pulse offers stronger automated metric monitoring and works well for organizations standardized on Salesforce/Tableau, while ThoughtSpot Sage is generally considered the most natural-feeling search-driven BI experience. Power BI Copilot is the obvious choice if you already run Power BI on a Fabric capacity; otherwise the capacity cost is hard to justify versus alternatives that price per user.
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Tutorial updated March 2026