freeFree Resource
AI Readiness Checklists
A comprehensive readiness check across data, tech, talent, and governance.
Overview
Plug-and-play readiness assessments covering the critical domains needed for AI success—data, infrastructure, governance, and people. Use them to run workshops, due diligence, or self-guided audits before greenlighting projects.
What's included
- Data quality, access, and pipeline checklists
- Infrastructure + platform readiness assessment
- Talent, skills, and change-management evaluation
- Governance, compliance, and risk-mitigation scorecards
Why this matters
- Most AI failures stem from poor preparation, not bad models
- Helps teams spot gaps before investing in costly pilots
- Supports consultants and internal champions in guiding stakeholders
Outcomes you can expect
Accurate view of organizational readiness
Prioritized backlog of gaps to close before launch
Higher success rate for AI initiatives