Discover how Novacomp strengthened the security and regulatory compliance of a regional financial institution by automating cash transaction controls. Through the design of an advanced predictive model, the organization successfully mitigated money laundering risks, optimized response times for government audits, and transformed a costly operational process into an agile and efficient preventive system.
What will you discover in this document?
By reading this success story, you will learn about:
- The business challenge: The complexity of applying strict preventive controls on cash transactions to prevent money laundering, combined with manual reviews that increased operational costs and limited timely responsiveness during audits.
- The technological solution: The development of a predictive model based on Python, .NET Core components, and SQL Server (with Microsoft Integration Services), designed to evaluate transactional risk, integrate compliance rules, and seamlessly connect with external validation platforms.
- The implementation strategy: An agile approach under the Scrum methodology for project management, which allowed structuring transactional behavior parameters and efficiently connecting the system with the national financial system regulatory bodies.
- The impactful results: How the institution achieved significant savings in operational time by optimizing alert reviews, facilitating the agile identification of fraudulent patterns, and ensuring timely responses to regulators.