Organizations want the benefits of generative AI—but without sacrificing security, governance, or time-to-value. Simple Chat is Microsoft’s open-source, Azure-native reference implementation designed to bridge that gap.

In this session, we’ll explore how Simple Chat enables rapid deployment of a secure, document-grounded AI assistant, moving from MVP to production in as little as four months. Built directly from customer feedback—especially from highly regulated environments—Simple Chat demonstrates practical patterns for RBAC, document-backed conversational context, Azure Content Safety, and scalable architecture.

Attendees will see how Simple Chat fits alongside Copilot Chat and Microsoft 365 Copilot, where it shines as a customer-controlled, extensible AI assistant, and how teams can adapt it to their own data, workflows, and governance requirements.

The session includes a live demo and real-world adoption lessons from federal and enterprise customers.

Audience:
- Cloud architects
- Security & compliance leaders
- AI / Azure engineers
- IT decision makers evaluating enterprise AI adoption

Technical Level: Intermediate (architecture & implementation patterns; no deep ML required)

What You’ll Learn:
- Why Simple Chat exists and where it fits in the Copilot landscape
- Core differentiators: document-backed chat, RBAC, classification, and governance
- MVP → production rollout model (3 users to 10k+)
- How Simple Chat leverages Azure AI Search, Content Safety, networking, and encryption
- Open-source roadmap and extensibility (GraphRAG, MCP agents, Semantic Kernel)