Fraud Detection ROI Calculator

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Fraud Detection Value

Net Annual Value

$8.78M

Additional Prevented Losses

$8.88M

Platform ROI

8.61K%

With 24,000 annual transactions and 8% fraud rate, 1,920 fraudulent transactions are expected annually, representing $24,000,000 in potential losses. Manual detection at 45% catches 864 fraudulent transactions, preventing $10,800,000 in losses. Automated detection at 82% prevents $19,680,000, adding $8,880,000 in value minus $102,000 platform cost for $8,778,000 net annual benefit.

Prevented Losses: Manual vs Automated Detection

Enhance Fraud Detection

Organizations typically improve fraud detection rates from 40-50% to 75-90% with AI-powered systems while reducing false positives and investigation costs. Modern platforms often combine behavioral analytics, network analysis, and machine learning to identify sophisticated fraud patterns

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Manual fraud detection at 45% catches 864 of 1,920 expected fraudulent transactions, allowing $13,200,000 in undetected losses. Automated detection at 82% catches an additional 710 fraudulent transactions, preventing $8,880,000 in additional losses for $8,778,000 net value after platform costs.

Beyond loss prevention, automated fraud detection reduces investigation time, improves accuracy, and enables real-time scoring at transaction intake. Organizations benefit from consistent fraud assessment, reduced false positives, network analysis detecting organized fraud rings, and continuous learning from new fraud patterns. The 8606% ROI demonstrates clear value from preventing fraud losses that far exceed platform costs.


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