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Automation
Automation in AI governance refers to the use of technology and software tools to enforce policies, monitor compliance, and manage AI systems at scale without manual intervention. It matters for enterprise governance because it reduces human error, accelerates policy enforcement across distributed AI deployments, and enables organizations to maintain consistent standards even as their AI footprint grows. Automation also creates audit trails and real-time alerts that support accountability and help teams respond quickly to governance violations or emerging risks.
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