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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -41,8 +41,8 @@ The AI Landing Zone cover the following design areas which are across the Cloud
## Use cases & Scenarios
The AI Landing Zone act as a foundation architecture which can be leveraged to deploy a particular AI usecase & scenario on Azure, such as the below, either with its default architecture or by extending it with additional Azure services as needed.

- Chat Using Azure AI Foundry
- Agents Using Azure AI Foundry
- Chat Using Microsoft Foundry
- Agents Using Microsoft Foundry
- Document generation
- Conversational Agent
- Build your own copilot
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2 changes: 1 addition & 1 deletion bicep/README.md
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Expand Up @@ -4,7 +4,7 @@ This repository contains a **Bicep template** that is built on top of **Azure Ve

## Architecture

This architecture delivers a full **AI Landing Zone** built around **Azure AI Foundry**. The **AI Foundry Agent service**, together with **AI Search, Cosmos DB, Storage, and Key Vault**, operates securely and seamlessly. A dedicated **Azure Container Apps** environment enables custom **GenAI applications**, and supporting services cover configuration, data, and observability. Thanks to its modular design, you can deploy everything or only the components you need.
This architecture delivers a full **AI Landing Zone** built around **Microsoft Foundry**. The **AI Foundry Agent service**, together with **AI Search, Cosmos DB, Storage, and Key Vault**, operates securely and seamlessly. A dedicated **Azure Container Apps** environment enables custom **GenAI applications**, and supporting services cover configuration, data, and observability. Thanks to its modular design, you can deploy everything or only the components you need.
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Copilot AI Nov 25, 2025

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Inconsistent terminology: While the main description has been updated to "Microsoft Foundry", the sentence still references "AI Foundry Agent service". For consistency with the PR's naming standardization, this should be changed to "Microsoft Foundry Agent service".

Suggested change
This architecture delivers a full **AI Landing Zone** built around **Microsoft Foundry**. The **AI Foundry Agent service**, together with **AI Search, Cosmos DB, Storage, and Key Vault**, operates securely and seamlessly. A dedicated **Azure Container Apps** environment enables custom **GenAI applications**, and supporting services cover configuration, data, and observability. Thanks to its modular design, you can deploy everything or only the components you need.
This architecture delivers a full **AI Landing Zone** built around **Microsoft Foundry**. The **Microsoft Foundry Agent service**, together with **AI Search, Cosmos DB, Storage, and Key Vault**, operates securely and seamlessly. A dedicated **Azure Container Apps** environment enables custom **GenAI applications**, and supporting services cover configuration, data, and observability. Thanks to its modular design, you can deploy everything or only the components you need.

Copilot uses AI. Check for mistakes.

![Architecture](./docs/architecture.png)
*AI Landing Zone*
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2 changes: 1 addition & 1 deletion bicep/infra/components/bing-search/main.bicep
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@@ -1,5 +1,5 @@
metadata name = 'bing-search'
metadata description = 'Create-or-reuse a Bing Grounding account and its Cognitive Services connection to be used by Azure AI Foundry.'
metadata description = 'Create-or-reuse a Bing Grounding account and its Cognitive Services connection to be used by Microsoft Foundry.'

@description('Conditional. The name of the Azure Cognitive Services account to be used for the Bing Search tool. Required if `enableBingSearchConnection` is true.')
param accountName string
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2 changes: 1 addition & 1 deletion bicep/infra/components/bing-search/readme.md
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@@ -1,6 +1,6 @@
# bing-search `[AiMl/LandingZoneComponentsBingSearch]`

Create-or-reuse a Bing Grounding account and its Cognitive Services connection to be used by Azure AI Foundry.
Create-or-reuse a Bing Grounding account and its Cognitive Services connection to be used by Microsoft Foundry.

## Navigation

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2 changes: 1 addition & 1 deletion docs/AI-Landing-Zones-Cost-Guide.md
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Expand Up @@ -213,7 +213,7 @@

### **3. AI & COGNITIVE SERVICES**

#### **Azure AI Foundry / AI Services**
#### **Microsoft Foundry / AI Services**
- **Service:** Azure AI Services (multi-service account)
- **Region:** East US
- **API Calls:** Variable (usage-based)
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28 changes: 14 additions & 14 deletions docs/AI-Landing-Zones-Design-Checklist.md

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6 changes: 3 additions & 3 deletions terraform/readme.md
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Expand Up @@ -350,7 +350,7 @@ az resource list --resource-group ai-lz-rg-01 --output table
3. Click on `ai-lz-rg-01`
4. Explore the deployed resources

**Azure AI Foundry:**
**Microsoft Foundry:**
1. Go to [ai.azure.com](https://ai.azure.com)
2. You should see your AI Hub and Project

Expand Down Expand Up @@ -465,7 +465,7 @@ terraform init

3. **Deploy AI Models:**
- The deployment includes GPT-4o model deployment
- You can deploy additional models through Azure AI Foundry
- You can deploy additional models through Microsoft Foundry

4. **Set Up CI/CD:**
- Integrate with Azure DevOps or GitHub Actions
Expand All @@ -475,7 +475,7 @@ terraform init

## Additional Resources

- [Azure AI Foundry Documentation](https://learn.microsoft.com/azure/ai-studio/)
- [Microsoft Foundry Documentation](https://learn.microsoft.com/azure/ai-studio/)
- [Terraform Azure Provider Documentation](https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs)
- [Azure AI Landing Zone Pattern](https://github.com/Azure/AI-Landing-Zones)

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