How are developers using Microsoft tools to support decentralized ownership models?

Take this:

1. Microsoft Graph + Azure AI

• Graph API lets you access organizational data (users, groups, files, chats) and build custom governance workflows.
• Developers are using Azure OpenAI and Graph connectors to create intelligent agents that surface relevant data based on user roles or community voting outcomes.
• You can even build bots that summarize discussions, propose actions, and track consensus — mimicking DAO-style decision-making.

2. Microsoft Teams + Teams AI Library

• Teams is being used as a collaboration layer for decentralized communities.
• With the Teams AI Library, developers can build conversational bots that interact with users, gather feedback, and simulate voting or proposal flows.
• Combine this with adaptive cards and Graph notifications, and you’ve got a lightweight governance dashboard inside Teams.

3. Microsoft Fabric + Data Mesh Architecture

• Fabric supports domain-oriented data ownership, which aligns beautifully with decentralized models.
• You can assign data workspaces to different community domains, delegate governance, and enforce federated policies, all without central IT bottlenecks.
• This is especially useful for projects like LandDAO, where land data needs to be managed transparently across regions.

4. Microsoft Entra ID + Identity Governance

• Entra ID enables fine-grained access control, entitlement management, and access reviews.

Create a Teams AI Bot with RAG - Teams | Microsoft Learn

Easily implement data mesh architecture with domains in Fabric | Microsoft Fabric Blog | Microsoft Fabric

Manage Microsoft 365 identity governance - Microsoft 365 Enterprise | Microsoft Learn