AI Readiness Checklist

How to Use This Checklist

Score each section as Ready, Needs Work, or Not Started. Anything not ready becomes part of your implementation plan.

1) Business Goals and Priorities

• We can clearly define the process we want to improve
• We know how success will be measured (time, cost, quality, response speed)
• We selected one high-impact pilot use case before scaling

2) Workflow and Data Readiness

• The current workflow is documented and repeatable
• Required data is accessible, accurate, and permissioned
• We understand what data can and cannot be used in AI systems

3) AI Architecture Decisions

• We know whether this use case should run on local models, cloud models, or a hybrid approach
• Hardware, security, and performance requirements are defined
• We have a plan for model updates, monitoring, and fallback behavior

4) Implementation Planning

• Project owner and stakeholders are assigned
• Pilot timeline, milestones, and handoff expectations are clear
• Integration points with existing tools/workflows are identified

5) Team Adoption and Governance

• Team members know how and when to use the new AI workflow
• Operating procedures and quality checks are documented
• Risk controls exist for privacy, compliance, and incorrect outputs