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When to Use Foundry
Decision Framework
Not every AI project needs the full Foundry platform. Here's how to decide:
| Scenario | Use Foundry? | Alternative |
|---|---|---|
| Building a production AI app with multiple models | Yes | - |
| Quick prototype with OpenAI API | Maybe | Direct Azure OpenAI Service |
| Enterprise AI with governance requirements | Yes | - |
| Simple chatbot with no custom data | No | Azure OpenAI + your app |
| Multi-agent orchestration | Yes | - |
| RAG over company documents | Yes | - |
| Single-purpose Vision/Speech API call | No | Direct Cognitive Services API |
| Fine-tuning models with evaluation | Yes | - |
💡 Key Insight: The platform itself is free to explore. You only pay for the underlying Azure resources consumed (model inference, compute, storage, search). There is no separate "Foundry license fee."
Foundry vs Raw Azure Services
Think of Foundry as the orchestration layer over Azure's AI services. You could build the same solutions using individual Azure services (OpenAI, AI Search, etc.) directly, but Foundry provides:
- Unified SDK - one
azure-ai-projectspackage instead of 5+ SDKs - Single endpoint - one project endpoint for all capabilities
- Built-in evaluation - quality and safety metrics out of the box
- Agent management - production-ready agent lifecycle
- Centralized governance - one place for RBAC, networking, compliance
FOUNDRY VERIFICATION
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Is there a separate license fee for using Microsoft Foundry?
Yes, it requires a Foundry license
No - the platform is free; you pay for underlying Azure resources consumed
Yes, it's included in Microsoft 365
Only for enterprise customers