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The primary challenge of this project was handling the highly complex and heterogeneous fraud resolution processes followed by thousands of banks. Each bank had different workflows, response formats, timelines, and technical maturity levels.
Additionally, the system needed to manage long-running fraud cases, asynchronous communication, secure data exchange, and large volumes of complaints without manual intervention. Coordinating and assisting multiple bank development teams to align with a single automated process was another major hurdle.
We built a centralized and scalable fraud automation platform using .NET Core Web APIs and Entity Framework Core. The system automatically registers fraud complaints and sends them to respective banks using scheduler-based background services.
Banks process the complaints and respond via dedicated response APIs. These responses are consumed, validated, and stored back into our database, allowing the automation cycle to continue until the fraud case is fully resolved.
A generic and configurable API framework was designed so that all banks could integrate using a common logic. The scheduler fetches pending complaints from the database and automatically pushes them to banks based on defined rules and timelines.

The system significantly reduced fraud resolution time by eliminating manual processes. Banks were onboarded faster, and complaint tracking became transparent and auditable.

This project showcases how a carefully designed, generic fraud resolution API platform can handle complex, high-volume banking workflows at a national scale. By collaborating closely with banking teams and focusing on reliability, validation, and automation, we delivered a system that simplifies fraud case handling while meeting strict operational and compliance requirements.