Copilot Studio + Microsoft Fabric Webinar | How to Build Secure, Data-Aware AI Agents
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How to Build Agents That Understand Your Data with Copilot Studio
AI agents are shifting how organizations work with data—moving beyond static dashboards to intelligent assistants that can search, act, and make decisions using real business context.
In this on demand webinar, we explore how to build production ready Copilot agents that don’t just access data, but truly understand it—delivering precise, secure, and role aware insights across the enterprise.
Watch The Full Webinar
Prefer Shorter Clips? Watch Key Highlights From The Session:
Copilot Studio Agent: What to Decide First
Best Practices for Building Reliable AI agents
Options for Building Agents
Why Watch This Webinar
This session is designed for architects, developers, and business leaders exploring how to bring AI agents into real enterprise environments. You’ll learn how to:
- Understand the spectrum of AI agents—from retrieval agents to autonomous agents—and when to use each.
- Build Copilot Studio agents that are grounded in enterprise data using secure, identity aware architecture.
- Apply best practices to improve agent accuracy, reliability, and observability in production environments.
- Showcase of the Sales Opportunities Agent integrating HubSpot and internal systems for real-time, role-aware insights.
- Demonstration of Microsoft Fabric unifying and governing enterprise data to create an AI-ready, secure foundation.
AI agents shouldn’t just retrieve data—they need to understand context, permissions, and business intent to be truly useful in the enterprise.
Phani Vanka
SVP, Technology – AI, Data & Application Development
Copilot Studio Spotlight: Building Grounded, Enterprise‑Ready AI Agents
At the core of this session is Microsoft Copilot Studio, the low code platform for building AI agents that can reason over enterprise data, take action, and operate securely within organizational boundaries.
Copilot Studio helps organizations:
Build low code AI agents that can retrieve information, take actions, and automate workflows based on user intent.
Ground agent responses using approved knowledge sources and tools, ensuring accuracy and consistency of outputs.
Connect agents to enterprise data through a secure, identity‑aware service layer aligned with Entra ID.
Apply best practices such as simple, iterative instructions, clear system prompts, and real examples to improve agent reliability over time.
Monitor & audit agent activity using built in observability & integration with Azure Application Insights—providing visibility into queries, data access, & tool usage .
