KYC Risk
Changes that go unnoticed for years
Many banks review customers every one, three or five years, depending on their risk segment. In between, a customer’s situation can change completely without anyone noticing.
Effort on customers where nothing has changed
Every customer gets a full review on schedule, even when nothing has changed. And each of those reviews takes the same effort.
Outdated files weaken your AML framework
With fixed review cycles, many files are years old. Your view of a customer and their risk then rests on wrong assumptions. That is a data quality problem, and it weighs on your whole AML framework. The AMLR expects customer information to be up to date.
Multiple views on every customer
The score will compare what a customer does with what they declared and with how similar customers behave. Peer grouping and anomaly detection show who stands out. The risk factors from the AMLR are part of the score.
Updated when something changes
When a customer’s details, behaviour or country risk change, the score will be recalculated. Reviews can start when they are needed.
Less effort where behaviour is consistent
When a customer’s behaviour confirms what you know, their review will get a lower priority. Your team can spend its time on the customers who carry real risk.
Managed by us
We will monitor and retrain the AI and maintain the platform. One subscription will cover the licence, the cloud, maintenance and retraining.
- 01 AML Monitoring Spot suspicious patterns in customer behaviour.
- 02 Payment Fraud Monitoring Soon Detect behavioural patterns to flag potential fraudsters and their victims.
- 03 KYC Risk Soon Optimise your periodic and event-driven due diligence and reviews through behavioural scoring.
- 04 Sanctions Screening Soon A contextual layer on top of sanctions list matching.