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Fraud Detection ROI Calculator: Maximize Savings for Insurers
Fraudsters are getting more sophisticated. Are your fraud detection methods keeping up? With fraudulent claims costing insurers billions annually, even a small reduction in fraud can mean significant savings for your business.
Don’t Let Fraudsters Win – Turn AI Into Your Best Defense
ClaimGuard uses AI-driven fraud detection to identify suspicious claims before they cost you. With real-time risk scoring, automated fraud flagging, and seamless claims processing, you can stop fraud in its tracks—without adding complexity to your workflow.
Need more? Read how Tokio Marine & Nichido Fire reduced fraud related costs by 40%.
Is this considered a quote?
No, the results from this calculator are not a formal quote. They are intended to provide a high-level estimate of potential return on investment (ROI) based on the data you entered. Actual costs and savings may vary depending on your specific business context, claims volume, and implementation requirements. For a personalized assessment or formal proposal, please contact our team directly.
Am I guaranteed these results?
No, the results are not guaranteed. The calculator provides an estimate based on industry benchmarks and the information you provide. Actual outcomes will depend on a variety of factors, including your current fraud detection practices, claims processes, data quality, and how the solution is implemented and adopted. We recommend using this tool as a directional guide rather than a precise forecast.
What data sources do you use to calculate the ROI?
The ROI calculator is based on a 2024 EIS study with a customer using EIS ClaimGuard and the data you provide on this webpage.
What is the typical fraud rate in the insurance industry?
Industry estimates suggest that fraud accounts for 5% to 10% of total claims costs, though the actual rate can vary by line of business and geography. A significant portion of this fraud goes undetected, meaning the true cost may be even higher.
How can fraud detection technology reduce losses?
Modern fraud detection solutions use AI, machine learning, and advanced analytics to identify suspicious patterns, flag high-risk claims earlier, and support investigators with deeper insights. By improving early detection and reducing false positives, these technologies help insurers prevent payouts on fraudulent claims, reduce investigation costs, and improve operational efficiency.
Where can I learn more about fraud prevention strategies?
You can explore our claims leakage use case or talk to industry organizations such as the Coalition Against Insurance Fraud, NICB, and your regional insurance fraud bureau. If you’d like tailored recommendations, our team would be happy to help.
What are the next steps if I want to implement fraud detection?
If you’re ready to take the next step, our team can provide a personalized assessment, including a deeper dive into your data, operational goals, and technology needs. Just reach out through our contact form or schedule a consultation directly.
+Based on a 2024 EIS study with a customer using EIS ClaimGuard. Past performance may not be indicative of future results.