Use Cases / Investigations / Case Study
CASE STUDY
Investigating Potential Fraud Across Complex Financial Data.
How an international merchant bank connected lending records, correspondence and company intelligence to support a complex fraud investigation.
Industry
Financial Services & Banking
Use Case
Fraud Investigation & Data Intelligence
The challenge.
An international merchant bank needed to investigate potential fraud involving business loan schemes introduced during the COVID-19 pandemic.
The investigation required information from multiple sources to establish how applications had been assessed, which due diligence procedures had been followed and what communications had taken place throughout the lending process.
The DataBelt solution.
DataBelt searched and analysed structured data, unstructured documents and email communications to reconstruct application histories, approval processes and subsequent correspondence.
The information was enriched with external company intelligence, including Companies House and Experian datasets, to establish relationships between applicants, businesses and company directors.
DataBelt’s AI capabilities supported the assessment and prioritisation of potentially fraudulent applications.
Findings were visualised through DataBelt wallboards, providing investigators with a connected view of relevant information and relationships.
The outcome.
The investigation helped distinguish potential fraudulent activity from legitimate lending decisions and supported the assessment of possible internal involvement.
Higher-risk cases were referred to the City of London Police for further consideration, while the findings also supported internal counter-fraud training.
