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Custom Service for customer screening

This IT project is part of our digitalization and optimization of our customers’ IT landscape. Through targeted measures, we promote technological progress, optimize cross-system processes and create a sustainable basis for future developments. Our IT reference projects serve as a basis for orientation. They support the reusability of tried and tested concepts as part of project implementation.

Brief description

As part of the implementation of standard financial management software (SaaS), a custom service is being developed to screen the current customer by sending a query to an external system. This screening is part of the customer onboarding process and is a component of the KYC (Know Your Customer) process, which must be completed for every customer.

Supplement

The Custom Adapter Service is based on REST interfaces implemented using Java on Quarkus. The service is deployed via a Docker image in a container app in the Azure cloud. Data transformation between the source and target systems takes place within the adapter itself. Orchestration is handled via Quarkus Camel Routes. Azure Service Bus queues ensure that no data is lost in the event of a temporary system outage. The connection between the off-the-shelf software and the service is secured through encryption and authentication in accordance with the manufacturer´s specifications. In addition, an Azure API Management service provides additional security features such as firewalls, IP whitelisting, and so on. The adapter runs in a stateless manner, meaning that sensitive customer data is not stored there.

Subject description

This involves implementing a custom adapter service that queries a third-party system for matches during the screening process. In this context, a match refers to a natural person who appears on a sanctions list or a PEP list (PEP: politically exposed person). Such lists are provided by vendors such as WorldCompliance, Moody´s, etc. To complete the screening, the user must review all matches and decide whether the current customer is a genuine 'match' or whether there are no issues. This decision is then logged in both systems using the custom adapter. The screening itself is one of the tasks mandated by law as part of due diligence to detect potential money laundering cases.

IT project data

Project start08.04.2026

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