Apps AI Playbooks

Internal field guidance

Apps and AI architecture patterns for customer delivery and internal enablement.

Explore reusable patterns, deployment notes, and operational guidance for Azure services. Use these assets internally and extract customer-ready variants as needed.

Inside this hub

  • Field-tested architecture patterns for Azure Apps and AI workloads.
  • Deployment and operations guidance for enterprise architecture teams.
  • Internal-first content that can be adapted into customer-ready collateral.
  • Links back to Microsoft Learn for authoritative product behavior.

Featured guidance

Explore current patterns and briefings

Customer-ready

Plain-language explainer · March 2026

A plain-language perspective on Azure OpenAI governance and security

An informational overview of how Microsoft structures Azure OpenAI governance and which security, monitoring, and service capabilities customers typically evaluate for regulated workloads.

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Customer-ready

Enterprise Deployment Blueprint · March 2026

How to deploy Azure OpenAI for enterprise production workloads

A reusable customer-facing blueprint covering landing zone design, security controls, operational readiness, and governance patterns for Azure OpenAI in production.

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Publishing tracks

Internal-first with customer-ready extracts

Track A · Internal guidance

Field engineering workspace

Use the internal index for design reviews, delivery prep, and architecture tradeoff alignment before customer-facing distribution.

Open internal index

Track B · Customer-ready output

Externalized briefings

Publish validated guidance from public articles after language tightening, compliance checks, and audience-appropriate positioning.

View public guidance set

Contributing

How DSE peers can add guidance quickly

  1. Copy the article template and author the content module.
  2. Set visibility to internal or public based on target audience.
  3. Register the article in the content registry and run lint/build.
  4. Validate claims against Microsoft Learn before publishing.

Recommendation: default to internal visibility first, then promote to public once the guidance is delivery-ready for customer sharing.