Case Study: VP Bank achieves better payment screening and halves workload with ACTICO Machine Learning

VP Bank Group halves payment screening workload with ACTICO

VP Bank Group, an internationally active private bank based in Liechtenstein, faced a challenge in meeting stricter compliance rules. Their existing payment screening system no longer met the requirements for effective fuzzy matching, which is used to identify potential sanctions risks even when names do not exactly match.

The bank implemented a new payment screening system powered by ACTICO Machine Learning. The solution from ACTICO significantly improved the quality of fuzzy matching hits while reducing the workload. The measurable impact was that the system halved the workload for compliance and payments staff and continuously reduced hit volume while increasing hit quality.

VP Bank Group