RegNovaIQ combines adaptive models, graph intelligence, and investigator feedback to surface sophisticated fraud patterns and AML risks.
Blend statistical models with expert-defined policies and orchestrate them through a single governance framework.
Track models end-to-end, from training data lineage to approvals, with built-in audit trails and policy controls.
Registry, approvals, and drift monitoring built in.
Analyst decisions inform model recalibration.
Traceable evidence for every fraud decision.
Group related alerts into investigation bundles with linked evidence.
Connect transactions, devices, accounts, and counterparties across channels.
Produce SAR-ready documentation with evidence trails and analyst notes.
Work with RegNovaIQ to design a governed fraud and AML analytics program.