The migration process to implement HAWK:AI consists of 4 phases. Customers will experience benefits within 2 to 4 months, with complete migration in less than a year. The migration phases are:
- Model training – We conduct data quality checking and cleansing before our AI experts initially calibrate the AI in close collaboration with you. After this, the AI will learn on its own.
- Value demonstration (optional) – We import general legacy AML system settings and run both systems in parallel to show HAWK:AI delivers the same results as your AML system, but with much higher efficiency and effectiveness.
- Stepwise migration – We migrate from your previous AML solution to HAWK:AI as the primary audit tool in steps, depending on your needs – for example per segment. Each step is validated with a still active Siron® module (KYC, AML, Embargo). At any time there is only one primary audit tool.
- Finalize migration – All segments are now available through HAWK:AI. Historic alert, case, and report data is extracted and accessible through archives. At this point, you switch off your legacy AML system.
How much better is your AI + Rules approach?
HAWK:AI’s blended approach of combining traditional rules with AI and machine learning has led to our customers experiencing more than 70% false-positive reduction.
How does configuration work and am I able to do it myself?
Explainability is at the heart of our platform – and this also applies to rule configuration. We have created an intuitive rule builder that requires no SQL or other coding skills. Build sophisticated rule sets on your own by defining thresholds for individual customer segments, geographies, transaction types and many more. Align and name rules to clear transparency for you and your analysts.