ObjectWin enhanced a BFSI client’s operations by implementing AI algorithms for real-time fraud detection, guided by a detailed SOW Engagement. This approach led to a 40% reduction in fraud and a 20% increase in data processing efficiency, significantly improving security and operational performance.

Client Objective

To Implement AI algorithms, to identify and mitigate risks by detecting unusual patterns and potential fraud, in real-time.

Challenge

A prominent financial services firm struggled with data management and fraud detection. Since the client is on financial domain they had a complex regulatory landscape, they had to ensure that AI implementations are complying with the legal standards and privacy regulations.

Also the client faced issues in sufficient resource allocation which is needed for ongoing monitoring, model improvement and incident response.

Approach

ObjectWin established dedicated teams comprising data scientists, machine learning engineers, and compliance experts to focus specifically on AI initiatives. This ensured specialized attention for model development and monitoring.

Results

The results included a 40% reduction in fraudulent activities and a 20% improvement in data processing efficiency, leading to enhanced security and operational performance.

Our solutions empowered the client to improve their service quality, helped them to streamline their processes and enhance their security. It created competitive advantage by enabling more agile responses to market.