As artificial intelligence becomes more integrated into Microsoft’s ecosystem, knowing how to prepare Power BI for AI is essential. Features like Copilot and “Prep Data for AI” are powerful tools but they require a properly configured workspace and well-structured semantic models to deliver accurate and useful results. In this guide, you’ll learn how to prepare your Power BI environment for AI-driven insights and how to make the most of Copilot’s capabilities.
Licensing and Setup: What You Need Before Using Copilot
Before Copilot becomes available in your Power BI workspace, a few conditions must be met:
- Your workspace must use paid capacity, either:
- Power BI Premium (P1 or higher)
- Fabric Capacity (F2 or higher, not trial SKUs)
- Tenant admin settings must have Copilot enabled via the setting:
“Users can use Copilot and other features powered by Azure OpenAI” - Your Fabric capacity region must be in a supported geography (e.g., North America, European regions)
Just installing Power BI Desktop isn’t enough. Your workspace must meet the correct capacity and configuration settings.
Using Copilot in PowerBI.com: Standalone Experience
In PowerBI.com, clicking the Copilot button allows users to query across all data models in all workspaces. While this seems convenient, it introduces potential issues with data accuracy.
For example, asking “How many banks failed in 2025?” may yield inconsistent answers depending on how Copilot interprets the data. In one instance, the result was accurate (2 banks), but in another, it returned 572, aggregating more than intended.
This demonstrates the non-deterministic nature of AI in Power BI. Even the same question can return different answers depending on timing, context, and model scope.
Why “Prep Data for AI” Matters
The Prep Data for AI feature refines how Copilot understands and interacts with your semantic model. Without prep, Copilot behaves like a smart but new analyst who lacks deep context. With prep, it’s more like a veteran analyst who knows your business.
When your semantic model is prepped, you can guide Copilot with:
- Simplified data schemas (hide irrelevant columns)
- Verified answers (map common questions to specific visuals)
- AI instructions (add clarifying logic for ambiguous queries)
This makes Copilot far more reliable, contextual, and useful for business users.
Comparing Unprepped vs Prepped Models
Let’s look at two reports: one without any prep and one with full prep.
Unprepped Model:
- Copilot may answer vague questions like “What’s our bestselling product?” with follow-up prompts asking for clarification.
- For questions like “What month during busy season has the most sales?”, Copilot cannot respond because “busy season” is undefined.
Prepped Model:
- Copilot answers “What’s our bestselling product?” immediately, based on verified answers.
- “Busy season” is pre-defined (e.g., September to December), so Copilot can answer without clarification.
- Responses are faster, more precise, and align with business rules embedded into the model.
How to Prep Your Data Model for AI
Within Power BI Desktop or the Power BI service, the Prep Data for AI interface offers three major tools:
- Simplify Schema: Select which fields and measures Copilot should consider.
- Verify Answers: Pre-map specific questions to visuals and results.
- Add AI Instructions: Provide rules for interpreting ambiguous questions (e.g., clarify if “bestselling” means units sold or total sales).
These steps significantly improve how well Copilot serves users across your organization.
Garbage In, Garbage Out: Why Preparation Is Key
Even with powerful AI features, your results are only as good as your data model. Unprepared models confuse Copilot and slow down your insights. Prepping your data ensures that:
- AI tools give consistent, validated responses
- Users get meaningful insights quickly
- Business logic is enforced automatically
This reduces the burden on data teams while enabling smarter self-service analytics.
How Pragmatic Works Can Help
If you’re unsure about how to properly enable Copilot, configure Fabric capacity, or prep your semantic models, Pragmatic Works can help.
We offer:
- Copilot readiness consulting
- Data model optimization
- Fabric migration support
- Full training for “Prep Data for AI” and verified answers
explore Power BI training options. These include our “Chat with Your Data in a Day” course and other Fabric-related offerings.
