AI Policy Framework

An AI policy framework is the formal set of rules, standards, and processes that govern how an organization develops, procures, deploys, and retires AI systems. It translates high-level governance principles into operational requirements — covering acceptable use, data handling, bias testing, human oversight, and incident response.

A credible AI policy framework answers six questions for every AI deployment: What is the system allowed to do? Who approved it? What data can it access? How are outputs reviewed? What happens when it fails? How is it retired? Organizations without written policies are exposed to shadow AI deployments that bypass compliance controls entirely.