Beyond Copilot: Context-Aware AI Integration for Power BI and Microsoft Fabric

[OmairData]

I propose introducing a context-aware AI assistant integrated directly into Power BI and Microsoft Fabric workflows, extending beyond generic Copilot interactions.

The idea is to enable an AI assistant (LLM-based) that is aware of the semantic model, measures, data sources, and visuals, and can assist users throughout the analytics lifecycle, including:

• Translating business questions into optimized DAX measures

• Explaining existing DAX, Power Query (M), SQL, or Spark logic in plain language

• Suggesting data modeling and performance optimization best practices

• Recommending appropriate visuals and layouts based on analytical intent

• Generating insight narratives tied to actual KPIs and report context

• Assisting users transitioning from Excel/Power BI into Fabric notebooks and Lakehouse workflows

This integration would significantly lower the learning curve for Fabric adoption, improve governance-aware AI usage, and help analysts move from dashboards to decisions more effectively. It would be especially valuable for non-native English users and emerging analytics communities.

This proposal is based on real-world training and community experience with large-scale Power BI and Fabric adoption, where users consistently need contextual, decision-focused guidance rather than generic AI responses.