Compliance teams often work with large volumes of narrative documents, historical responses, operational data, and reporting requirements. The challenge is not only extracting information from those documents, but turning that information into trusted insights, consistent responses, and timely action.

In this session, we will walk through a Microsoft-native architecture for building an AI-powered compliance intelligence solution using Microsoft Fabric, Azure AI Document Intelligence, Azure AI Search, Microsoft AI Foundry, Power BI, SharePoint, Teams, and Power Automate.

The session will show how structured data and unstructured documents can be brought together in OneLake, processed through Fabric pipelines, enriched with document extraction, indexed for grounded retrieval, and used by an AI Foundry agent to support natural language Q&A, trend analysis, root cause investigation, and draft response generation.

We will also discuss how to keep the solution practical and governed by using human review, source traceability, role-based access, audit history, and reusable data patterns that can extend to future compliance, finance, operations, and healthcare use cases.

Attendees will leave with a clear reference architecture and implementation pattern for moving from document-heavy processes to evidence-backed decisions using Microsoft’s AI and analytics platform.