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.
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.
