Holmes – Automated Fraud Detection

Benefits:

• Automates fraud detection
• Greatly increased accuracy
• Improved connection insights
• Secure cloud-based solution
• Avoids costly ‘Enterprise Application’ installations
• Increases productivity and case throughput
• Integrates into existing anti-fraud workflows
• Increases the ROI from fraud investigation by reducing cost of suspect claim analysis

Use Cases:

• Staged crash fraud: Reveals relationship rings
• Claim buildup: Shows client activities incompatible with claims
• Hangout analysis: Show locations common to claimants
• Compliance and evidence: Complies with EU DPO and accepted as evidence in courts

Pain Points:

• Insurance fraud detection is slow and labour intensive
• Overlooked or missed relationships reduces accuracy
• Enterprise level solutions are complex and costly.

Holmes:

• A cloud based solution which directly integrates into SIU workflows and automates the process of searching through social media websites to show connections between claimants
• Lists friends, likes and timeline data from all individuals involved in a claim
• Displays all connections which are graphically shown on an interactive dashboard
• Allows individuals to be added or removed from the case and notes added where necessary
• Significantly reduces the time required to detect and map out all connections in a claim case
• Consolidates the process of fraud detection into one easy to use application
• Uses multiple information sources, both off- and online