⚠️ Repository Archived
This repository has been moved to the official Microsoft organization.
🔗 New Location
This project is now maintained at:
📦 Repository: microsoft/Microsoft-AI-Decision-Framework
🌐 Documentation Site: https://microsoft.github.io/Microsoft-AI-Decision-Framework/
📌 What This Means
- ✅ Active Development has moved to the Microsoft organization
- ✅ All Documentation is now hosted on the official Microsoft GitHub Pages site
- ✅ Issues & Discussions should be opened in the new repository
- ✅ Pull Requests should be submitted to the new repository
- ❌ This repository is read-only and no longer accepting contributions
🚀 Get Started
Visit the new repository to:
- Browse the Framework: Start Learning
- Contribute: See CONTRIBUTING.md
- Report Issues: GitHub Issues
- Join Discussions: GitHub Discussions
📚 About This Framework
The Microsoft AI Decision Framework is a comprehensive guide for navigating Microsoft’s AI technology portfolio (M365 Copilot, Copilot Studio, Azure AI Foundry, Agent Service, SDKs, and more) and making informed, evidence-based technology selection decisions.
Key Features:
- Five-Layer Capability Model for understanding Microsoft’s AI ecosystem
- BXT Decision Framework for systematic technology evaluation
- Interactive Mermaid decision trees for visual technology selection
- Real-world scenarios with validated technology recommendations
- Implementation patterns and architecture guidance
Please update your bookmarks and Git remotes to point to the new official repository.
Thank you for your interest in the Microsoft AI Decision Framework!