Static, spreadsheet-based risk scoring models fail to adapt to changing customer behaviour or evolving regulatory requirements. Aereve's CRA module
provides a dynamic, highly configurable risk engine that scores customers automatically at onboarding and throughout their lifecycle — triggering
EDD workflows when risk thresholds are breached.
Often, siloed compliance data and black-box AI produce conclusions that cannot be explained to regulators. Aereve's Agentic AI is built on an ontology-powered knowledge graph that connects every siloed record and external risk signal into one structured intelligence layer — so every conclusion is deterministic, evidence-traceable, and built for regulators.
