An automated level 1 review workflow of sanction screening operations by leveraging sophisticated deep-learning-based AI models.
Using neural networks, Virtusa developed Named Entity Recognition (NER) models to accurately identify named entities in payment messages and sanction lists, and mimic operator decisions.
To validate the output of each other and ensure high quality of false positive recommendations, we leveraged multiple machine learning models.
To ensure seamless regulatory approvals, we built in-model explain-ability and decision traceability.
The solution was built on open source components and ensured on-prem infrastructure deployments.