FINDING FINCRIME WHEN WE DON'T KNOW WHAT TO LOOK FOR HOW TO TRUST THE AI SUPER SLEUTH
Trusting AI to Detect FinCrime
Artificial intelligence is an essential tool in the fight against increasingly sophisticated financial crime. However, adopting AI isn't as simple as flipping a switch. You need to transparently understand how AI works in order to trust it to do what it's supposed to.
In this white paper, we explore the following topics, and how they relate to AI technology that you can trust to detect financial crime:
- Domain knowledge
Positive feedback loops
AI models that emphasize explainability and auditability act as virtual teammates that work in partnership with their human operators. Learn about how these AI models work, clear up some common misconceptions, and see how you can trust them to help detect financial crime.
“Rules-based transaction monitoring systems can’t keep pace with the development of modern FinCrime. Catching these criminals requires a sophisticated suite of tools to detect anomalies as they happen.”
BUILT IN GERMANY WITH DEEP INDUSTRY KNOWLEDGE
AI helps your exports spot anomalies and detect unknown crime patterns
70% false positive reduction, your team can focus on priority tasks
All stakeholders can easily understand and trust out system's results
EASY TO DEPLOY
Built with deployment options that can be customised to your needs.
Monitor any transaction for red flags using a comprehensive set of rules in combination with Behavioral Analytics.
Screen customers against Sanctions, PEP, watchlists, and adverse media during onboarding and thereafter.
Customer Risk Rating
Dynamically score customer risk using internal and external data. Add behavioral analytics for richer context.
Screen counterparties against Sanctions and Country lists in real-time. Cleanse data and tune name-matching.