Case Study: Close Brothers saves £800K in 8 months with Resistant AI document fraud detection

How Close Brothers Motor Finance saved £800K in 8 months

Close Brothers Motor Finance, a leading UK motor finance provider, needed a faster and more reliable way to spot increasingly sophisticated document fraud. Its manual review process was taking 30–35 minutes per application, with fraud assessment alone consuming around 15 minutes and sometimes creating bottlenecks for customer approvals. Resistant AI’s document fraud detection helped address the challenge, using Document Forensics to authenticate documents quickly and reduce dependence on time-consuming manual checks.

Resistant AI implemented its Document Forensics solution, cutting fraud assessment from 15 minutes to just 12 seconds and doubling underwriting efficiency. Since implementation in August 2024, Close Brothers Motor Finance has prevented £800,000 in fraud losses in 8 months, achieved a 22x return on investment, and sped up application reviews by 2x. The solution also uncovered 18 additional fraud cases during the trial and helped build a more fraud-aware workforce.

Close Brothers

Kit Loughlin

Senior Fraud Control Manager