Discover how to turn raw business data into intelligent, conversational experiences without writing code. In this session, you’ll see how Data Agents in Microsoft Fabric provide governed, real-time access to your datasets while Copilot Studio turns those insights into natural, task-driven interactions for users in Teams, web, or mobile. Learn how to go from “Where’s my data?” to “Show me this quarter’s margin by region and draft an action plan” in minutes – securely and at scale.

We’ll walk through an end-to-end blueprint: connecting Fabric items (Lakehouse/Warehouse) to a Data Agent, shaping a semantic context, and exposing it to Copilot Studio as a no-code capability. You’ll understand how to enforce governance, security, and data filters (RLS), how to ground responses to trustworthy sources, and how to chain actions (approvals, notifications, or record updates) so your Copilot doesn’t just answer – it gets work done. Real business scenarios – finance flash reports, sales pipeline health, and operations KPIs – anchor the discussion.

A live demo builds a working solution on stage: wire a Fabric Data Agent, plug it into Copilot Studio, add guardrails, and publish a conversational Copilot that can analyze data, produce summaries, and trigger next steps. You’ll leave with a practical checklist, architecture patterns, and templates to replicate the approach in your tenant, moving your org from dashboards to decisioning with a no-code AI stack.

Assumed Knowledge:

You should be familiar with Microsoft Fabric and Copilot Studio.

Practical Takeaways:

develop a low-code agent, create agent connected to lakehouse, extract data insights from Fabric with AI

Out of Session Scope:

We will NOT cover deployment process (ALM)