Fighting financial crime with artificial intelligence

AI-based solutions have proven themselves in the fight against financial crime and are becoming increasingly important. However, successfully tackling the challenges of financial crime requires not only the use of modern technologies, but also their seamless integration into existing systems. One solution for this is an AI layer, which acts as a bridge between traditional legacy systems and modern AI solutions. It can be seamlessly integrated into the standard monitoring methods used by financial institutions to monitor payment transactions, i.e. rule-based systems, complex scorecards and ML models.

The AI-Layer-as-a-Service complements existing compliance systems and is an efficient and scalable solution for combating financial crime. The main features are

• Minimal maintenance effort thanks to automatic updates and continuous optimisation
• Lower operating costs thanks to efficient resource utilisation and automation
• good scalability by adapting to growing data volumes and changing business requirements
• Flexible deployment options and uncomplicated adaptation to a company's specific requirements
• Seamless and smooth integration into existing IT infrastructures

The AI Layer-as-a-Service increases the efficiency and effectiveness of fraud detection and operational processes through automation and dynamic adaptation. Losses due to fraudulent activities can be reduced as the system continuously adapts to new threat situations. A large proportion of manual monitoring tasks are automated by the AI layer, which optimises work processes and enables more efficient use of resources.

In our whitepaper "Using AI to combat financial crime", we describe the advantages of the AI layer in a compact and clear way. You will also learn how you can integrate the AI layer into your existing compliance architecture and use it for transaction monitoring.