PowerBI unleashed in Slack

Hi fulljoin,

With a data agent in Microsoft Fabric, you can create conversational AI experiences that answer questions about data stored in lakehouses, warehouses, Power BI semantic models, and KQL databases in Fabric. Your colleagues can ask questions in plain English and receive data-driven answers, even if they aren't AI experts or deeply familiar with the data.
Create a Fabric data agent (preview) - Microsoft Fabric | Microsoft Learn
Add Power BI semantic model as data source to Fabric data agent - Microsoft Fabric | Microsoft Learn

Please use this feature to create an agent to query your semantic model

Combine that with the Python SDK to create a channel in Slack
Consume Fabric data agent from external applications with Python client SDK - Microsoft Fabric | Microsoft Learn
This article shows how to use the Python client SDK to add a Fabric data agent to web apps and other clients by using interactive browser authentication.

Thank you.

Hi fulljoin,

That’s a great idea, using Slack to query the Power BI Semantic Model could make insights more accessible and interactive. You’re correct that Fabric Data Agent is best suited for single-tenant environments. For a scalable SaaS solution, consider Power BI Embedded architecture with service principal profiles, the ExecuteQueries REST API, or XMLA endpoints to securely query each customer’s semantic model.

You can also integrate Fabric Data Agent with Slack Bolt (Python) to preserve conversational context and provide natural language responses.

Thank you.