How mature is my organization's AI code governance?

Question

Accepted Answer

AI code governance maturity falls into three levels: Ad Hoc (no formal governance, uncontrolled risk), Reactive (review-stage tools catch problems after code is written, creating costly feedback loops), and Proactive (governance at the point of generation, code is correct the first time). Most organizations are at the Ad Hoc or Reactive level. Proactive governance requires a platform like Unyform that intercepts AI code generation requests and enforces policies in real time.

AI Governance Readiness Assessment

Do you know which AI coding tools your developers are using?

Do you have policies for AI-generated code?

How do you enforce standards on AI-generated code?

Do you have audit trails for AI-assisted code generation?

Does your AI governance system understand your codebase?