The framework treats AI risk as a dynamic process rather than a static checklist, requiring continuous monitoring of model behaviour and data drift throughout the system lifecycle.
The framework separates risk management from compliance, allowing teams to treat AI uncertainty as a measurable operational variable rather than a legal checkbox.