Azure AIDLC reference

Azure AIDLC: Microsoft Foundry and responsible AI compared with AIDLC Studio.

Microsoft Foundry gives Azure teams a platform for models, agents, tools, observability, governance, and enterprise controls. AIDLC Studio adds the product and engineering workflow layer for AI-assisted delivery.

Generate Azure Workflow Compare References

Positioning

Azure AIDLC maps Microsoft guidance to delivery workflow

Microsoft does not publish "Azure AIDLC" as an official product name. Use this page to map Microsoft Foundry and responsible AI guidance to AIDLC Studio workflows for product and engineering teams.

Use Microsoft/Azure guidance for

Building, operating, and governing AI applications and agents on Microsoft Foundry.
Managing models, agents, tools, RBAC, networking, policies, tracing, monitoring, and evaluations.
Responsible AI principles, enterprise readiness, and platform governance.

Use AIDLC Studio for

Choosing Brownfield, Greenfield, or Config/Infra workflow routes.
Previewing prompt contracts, review gates, and evidence ledgers before using the Starter Kit.
Keeping AI-assisted code, agent, and configuration work human-reviewed and auditable.

First workflow

Recommended Azure AIDLC path

01Route the changeDecide if this is Brownfield, Greenfield, or Config/Infra before AI generation. 02Preview repo instructionsUse AGENTS.md or CLAUDE.md with Azure services, policies, tests, and non-goals. 03Capture evidenceRecord review, tests, deployment checks, monitoring, and rollback notes. 04Align with FoundryUse Microsoft Foundry documentation for platform governance and operations.

Official sources

Azure AIDLC reference links