Explainability

Explainability is the ability to interpret and communicate how an AI model functions and makes decisions. For enterprises, it is a key governance capability required for trust, compliance, and business accountability.

Within ModelOp’s platform, explainability is a core governance function that supports enterprise trust, regulatory compliance, and audit readiness. It includes tools and workflows for traceability, documentation, fairness testing, model monitoring, and interpretability—even for complex or third-party models. ModelOp enables organizations to deliver explainable AI at scale by automating oversight, generating model documentation, and ensuring visibility into decisions made by both traditional and generative AI systems.

Check out this webinar episode for even more information.