AI adoption

This AI guidance provides a roadmap for startups and enterprises to adopt and maintain AI. It provides best practices. These best practices cover AI technology decisions (build vs. buy), skill development, team organization, and processes to govern, manage, and secure AI.

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.

Why adopt AI?

AI frees you to focus on your top priorities. AI offers automation and autonomous agents that improve individual efficiency, boost productivity, and optimize a range of business processes.

How to adopt AI

Develop an AI Strategy to identify use cases and determine whether to build (PaaS and Iaas) or buy (SaaS) AI solutions for each use case. Develop an AI Plan to move AI use cases into production. If you build AI solutions with Azure PaaS or IaaS services, you must also get AI Ready. Buying Microsoft Copilot SaaS solutions doesn't require this step. All AI adoption efforts must establish processes to Govern AI, Manage AI, and Secure AI.

AI adoption step Description Applicable to build (PaaS or IaaS) or buy (SaaS)?
AI Strategy Guidance to pick the right AI solutions. For build (PaaS/IaaS) and buy (SaaS)
AI Plan Guidance to execute AI adoption. For build (PaaS/IaaS) and buy (SaaS)
AI Ready Guidance to build AI workloads in Azure environment. For build (PaaS/IaaS) only
Govern AI Guidance to control AI. For build (PaaS/IaaS) and buy (SaaS)
Manage AI Guidance to maintain AI. For build (PaaS/IaaS) and buy (SaaS)
Secure AI Guidance to secure AI. For build (PaaS/IaaS) and buy (SaaS)

AI checklists

Use the AI checklists as your roadmap for adopting and maintaining AI. The enterprise checklist prepares your organization to adopt AI at scale. The startup checklist helps you move toward production faster but still get governance, management, and security best practices.

AI adoption phase Startup checklist Enterprise checklist
AI Strategy 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 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 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 Enforce AI governance policies Assess AI organizational risks
Document AI governance policies
Enforce AI policies
Monitor AI organizational risks
Manage AI 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 Implement AI security controls Assess AI security risks
Implement AI security controls
Maintain AI security controls

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