AI Landing Zones

Build AI applications and agents on a secure, resilient Azure foundation. AI Landing Zones provides workload landing zone reference architectures and deployable implementations. Start with Agent Landing Zone, centralize model access with AI Gateway Landing Zone, or combine both.

Architecture

Agent Landing Zone provides the workload foundation, while AI Gateway Landing Zone centralizes model access.

Implementation

Bicep and Terraform implementations built on Azure Verified Modules.

Workloads

A foundation for generative and non-generative AI workloads, focused on AI on Azure Platform.

Note

Designed and tested for Azure public cloud. Validate government and sovereign deployments separately. Some included services may be in preview.

Use cases

Build AI applications and agents on a secure Azure foundation for scenarios such as:

Use case	Example scenario
Knowledge assistants	Help employees find answers in organizational policies, procedures, and technical documentation.
Document processing	Extract, classify, and summarize information from invoices, contracts, and reports.
Business process agents	Coordinate tasks across business systems, such as handling service requests and approval workflows.

Reference Architectures

Agent Landing Zone

Agent Landing Zone provides an Azure foundation for AI applications and agents, with a default application built on Microsoft Foundry. Deploy the infrastructure, the application, or both using the Agent Landing Zone guide.

AI Gateway Landing Zone

AI Gateway Landing Zone provides a shared gateway for AI applications and agents, using Azure API Management to centrally manage access to Microsoft Foundry models. Choose a Bicep or Terraform implementation below.

Extensible Implementations

Deploy with or without an existing Azure platform landing zone. Choose an implementation below.

Implementation	Bicep	Terraform	Portal
Agent Landing Zone	View implementation	View implementation
AI Gateway Landing Zone	View implementation	View implementation	—
Foundry AVM Modules	View module	View module	—

Design areas

Use the AI Landing Zone Checklist to plan a new environment or assess an existing one across the following design areas.

Design and resources

Cloud Adoption Framework

Start with the CAF AI Scenario, AI adoption steps, and AI strategy. For generative and non-generative workloads, consult the resource selection guidance. For infrastructure-based AI workloads, see AI on Azure Infrastructure.

Well-Architected Framework

Review the design principles and recommendations for AI workloads on Azure.

Roadmap

AI Landing Zones continues to evolve with new Azure capabilities and workload requirements. Explore the project roadmap to follow planned improvements and upcoming work across the reference architectures and implementations.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

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.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.