The seven pillars of AI readiness, explained

AI readiness isn't one number pulled from thin air. GetAIAudit measures seven distinct pillars, each weighted by how much it affects your odds of success.

The pillars

• Data Maturity (20%) — Can AI actually use your data?
• Process Documentation (20%) — Can a process be automated if nobody has written it down?
• Tech Stack (15%) — Do your tools connect, and can they talk to AI?
• Leadership & Strategy (8%) — Is anyone steering, with budget?
• Workforce Readiness (7%) — Will your team actually adopt it?
• Use Case Opportunity (20%) — Is there real, repetitive work to automate?
• Risk & Compliance (10%) — Will an AI rollout create a legal problem?

Why weighting matters

A perfect score on tooling means little if your data is a mess. The weights reflect what actually drives outcomes: data, process, and genuine use-case opportunity carry the most, because they determine whether AI delivers value at all.

Want to see where you land? Take the free data check →