AI adoption

The Cloud Adoption Framework (CAF) provides a structured process for adopting AI solutions in Azure. This framework outlines clear steps, many of which apply to Microsoft Copilot adoption.

The CAF AI adoption process supports organizations ranging from large enterprises to startups. You learn how to identify AI use cases, select appropriate AI solutions, and build effective AI workloads. The guidance also covers operational processes required for governance, management, and security of AI implementations.

Diagram showing the AI adoption process: AI Strategy, AI Plan, AI Ready, Govern AI, Manage AI, and Secure AI. Figure 1. How to use the AI adoption guidance.

AI checklists

Use these AI checklists as a practical roadmap for adopting and managing AI. The enterprise checklist equips your organization to scale AI effectively. The startup checklist helps you quickly move toward production while adopting governance, management, and security best practices.

AI adoption step Applicable AI technology Startup checklist Enterprise checklist
AI Strategy Microsoft Copilots

Azure
Define an AI technology strategy Identify AI use cases
Define an AI technology strategy
Define an AI data strategy
Define a responsible AI strategy
AI Plan Microsoft Copilots

Azure
Access AI resources
Implement responsible AI
Assess AI skills
Acquire AI skills
Access AI resources
Prioritize AI use cases
Create an AI proof of concept
Implement responsible AI
Estimate delivery timelines
AI Ready Azure AI Build an AI environment
Choose an architecture
Use AI design areas
Establish AI reliability
Establish AI governance
Establish AI networking
Establish an AI foundation
Choose an architecture
Use AI design areas
Govern AI Microsoft Copilots

Azure
Enforce AI governance policies Assess AI organizational risks
Document AI governance policies
Enforce AI policies
Monitor AI organizational risks
Manage AI Microsoft Copilots

Azure
Manage AI models
Manage AI costs
Manage AI operations
Manage AI deployment
Manage AI endpoint sharing
Manage AI models
Manage AI costs
Manage AI data
Manage AI business continuity
Secure AI Microsoft Copilots

Azure
Implement AI security controls Assess AI security risks
Implement AI security controls
Maintain AI security controls

Next step