Welcome to AI Agent Runbooks — your go-to hub for building and deploying production-ready AI Agent solutions on Microsoft platforms. This repository provides structured runbooks, proven technical patterns, and real-world scenarios to accelerate your AI Agent delivery with confidence.
AI Agent Runbooks is an open, community-driven repository that provides hands-on implementation guides, validated technical patterns, and ready-to-use scenario blueprints for building enterprise-grade AI Agents using Microsoft technologies — including Copilot Studio, Azure AI Foundry, and Microsoft 365 Copilot.
Whether you're building your first agent or scaling across multiple business domains, this repository gives you the structure and guidance to deliver faster and smarter.
📦 ai-agent-runbooks
├── 📂 00-overview/ → Understand the repository objectives, structure, and how to get started
├── 📂 01-scenarios/ → Explore pre-built AI Agent use cases and end-to-end implementations
├── 📂 02-patterns/ → Learn technical patterns and industry best practices
└── 📂 03-references/ → Access additional resources, templates, and reference materials
| Purpose | Description | Starting Path |
|---|---|---|
| 📋 Overview | Understand the repository objectives, agent taxonomy, and navigation guide | 00-overview/ |
| 🎯 Agent Scenarios | Explore pre-built use cases such as HR Onboarding Agent, Helpdesk Agent, and more | 01-scenarios/ |
| 🏗️ Technical Patterns | Learn implementation patterns for Copilot Studio, Azure AI, and multi-agent orchestration | 02-patterns/ |
| 📚 References | Access templates, guides, architecture references, and additional resources | 03-references/ |
New here? Start with 00-overview/ to understand the structure and agent taxonomy.
Ready to build? Jump to 01-scenarios/ and explore real-world agent implementations like:
Need implementation patterns? Check out 02-patterns/ for proven technical approaches including Copilot Studio orchestration, RAG patterns, and multi-agent design.
🤖 Agent Runbooks – Step-by-step implementation guides for real-world AI Agent scenarios
🎯 Pre-built Scenarios – Ready-to-deploy use cases across HR, IT, Customer Service, and more
🏗️ Technical Patterns – Validated design patterns for Copilot Studio and Azure AI Foundry
🔗 Copilot Studio Native – First-class support for Microsoft Copilot Studio agent development
⚡ Accelerated Delivery – Structured runbooks to reduce time-to-production
📖 Comprehensive Guidance – End-to-end documentation from design to deployment
- 📖 Full documentation available in each section's README
- 💡 Scenario runbooks with step-by-step implementation instructions
- 🔧 Technical patterns with architecture diagrams and code samples
- 🎓 Best practices and lessons learned from real-world deployments
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA), which confirms that you have the right to, and do, grant us the rights to use your contribution. For more details, visit Contributor License Agreements.
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This project has adopted the Microsoft Open Source Code of Conduct.
For more information, see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
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Get Started Today 🎯 Dive into 01-scenarios/ and start building production-ready AI Agents with proven runbooks!