Case Study: Leading Financial Services Company cuts fraud analysis time 96% with RapidCanvas

How a financial services leader used AI to transformed their approach, empowering faster and wider implementation of fraud protection for their clients

A leading financial services company faced significant challenges with its manual ecommerce transaction fraud analysis. Their data scientists required four hours per investigation, creating a massive bottleneck that delayed sales responses to prospective merchants by up to two weeks. This inefficient process hindered scalability and left sophisticated fraud patterns undetected. To address this, the company partnered with RapidCanvas to leverage their Agentic AI solutions.

RapidCanvas implemented a custom AI-powered platform featuring a centralized data repository, automated pattern detection, and a dynamic rule generation engine. This solution slashed the average analysis time per investigation by 96%, from four hours to under five minutes. The results included an $800,000 reduction in fraud analysis costs, a 10%+ improvement in detection accuracy, and a 30% increase in sales conversion rates, transforming the company's operational efficiency.