How are teams automating Power BI development workflows using AI agents?

Hi codeautomation​,

Thanks for reaching out to the Microsoft Fabric Community forum.

A practical approach is to use an AI/data agent for natural-language interaction and query generation, while using Fabric and Power BI APIs for controlled execution and deployment.

User requirement -> AI/data agent -> semantic model -> DAX/query generation -> validation -> deployment

•    Prepare the semantic model for AI: Use Prep for AI to configure relevant tables, columns, and measures, along with verified answers and AI instructions.

•    Validate and iterate: Test the agent using benchmark questions and expected answers, then refine the semantic model and agent instructions based on the results.

•    Automate Fabric workflows: Fabric notebook APIs support notebook management, on-demand execution, monitoring, cancellation, and returning exitValue for orchestration.

•    Automate Power BI operations: Power BI REST APIs can manage Power BI resources and trigger semantic model refreshes.

•    Use CI/CD: Fabric supports Git integration, Fabric Items APIs, and deployment pipelines for automating development and deployment workflows, including testing before production.

This provides a documented way to combine AI/data-agent capabilities with Fabric and Power BI APIs, validation, and CI/CD rather than relying on the AI agent alone.

For more details, please refer to the below Official Microsoft documentation:
•    Semantic model best practices for data agent - Microsoft Fabric | Microsoft Learn
•    Manage and execute Fabric notebooks with public APIs - Microsoft Fabric | Microsoft Learn
•    Power BI REST APIs for embedded analytics and automation - Power BI REST API | Microsoft Learn
•    Datasets - Refresh Dataset - REST API (Power BI Power BI REST APIs) | Microsoft Learn
•    CI/CD workflow options in Fabric - Microsoft Fabric | Microsoft Learn
•    Adopting an iterative process for improving your data agent - Microsoft Fabric | Microsoft Learn

I hope this helps. Please feel free to reach out if you have any further questions.
Thank you.