Operational Assurance

Operational assurance refers to the continuous, automated oversight and control of AI and decision models to ensure they are running reliably, securely, and within expected performance thresholds. It involves standardized processes that monitor, manage, and remediate issues across the entire AI lifecycle—from deployment through to decision-making.

ModelOp provides operational assurance through ModelOp Center, offering centralized control, automated model onboarding, and integrated monitoring. It ensures models perform as expected, triggering remediation workflows when issues arise and maintaining complete audit trails. With built-in integrations across data science, IT, risk, and compliance systems, operational assurance enables faster model deployment, improved accuracy, and scalable enterprise AI use—all while delivering measurable business value and ROI.

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