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The use of software and API integrations to perform continuous, real-time compliance checks and risk monitoring without manual intervention.
Automated governance moves away from point-in-time audits toward continuous compliance. It involves setting Governance Gates in the software development lifecycle that prevent a model from moving to production if it fails a bias check or lacks a Model Card. As agentic AI scales, automation has become the only practical way to manage the velocity, with model behavior capable of changing daily.
Real world example:
An enterprise sets up an automated AI governance workflow that triggers a Model Retraining alert the moment the performance of a credit-scoring model drifts below its approved accuracy threshold.
