Financial systems generate a large amount of transactional and behavioral data. Many review and approval steps are repetitive. AI can help identify patterns, detect unusual activity, and prioritize cases for manual review. It supports compliance teams. It does not replace them.
We work with banks, payment services, trading firms, and financial compliance teams. Our focus is on models that explain themselves. If a model flags something as suspicious, there must be a clear reason why. This allows analysts to trust the system and regulators to verify the logic.
We build models for: fraud detection, transaction risk scoring, customer risk profiling, anti-money laundering (AML) review support
We start by reviewing the current review or scoring workflow. Then we analyze past cases marked as valid or rejected. We train models to detect the same patterns. We evaluate the model for false positives and false negatives. We only deploy once the model is stable and predictable.
The process is incremental. Nothing changes overnight.
Fraud detection models based on transaction patterns
Account and customer risk scoring systems
AML review assistance and case prioritization
Alert ranking to reduce analyst workload
Identity and document verification automation
Model evaluation and calibration
Deployment in private or restricted environments
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Our development process is the natural evolution of a software process to support today’s changing business environment. We believe that every project should be dealt with a fresh approach. Our industry knowledge allows us to deliver solutions that solve business challenges in 40+ industries. Working closely with you, we define your needs and devise effective automation tool concepts, knowing how to implement these concepts and integrate them according to your specific needs.
FortySeven Software Professionals is a leading European based software development, IT staffing, IT outsourcing and IT consulting company (certified with ISO 27001, ISO 9001). We help companies from F500 and startups to fulfill missing expertise for short-term and long-term projects.
