Claims Solutions

Anti-Fraud Claims Solutions

Find the critical data you need to help resolve claims quickly and detect potential fraud.

Faster claims processing, better fraud detection

Investigating claims and fighting fraud—a $308.6 billion annual cost for the industry—demands significant resources. Our anti-fraud solutions integrate data from more than 1.7 billion claims and 100 million government records.

Faster claims processing, better fraud detection

Close the information gap and stop fraud leakage

Robust insurance industry data, predictive analytics, and automated solutions help you evaluate claims, detect fraud, and facilitate fast resolution.

The world’s largest P&C claims database

Fast-track claims while improving fraud detection with access to data from more than 1.7 billion claims.

Learn about ClaimSearch

Claim scoring through predictive analytics

These models deliver enhanced claim scores and reason codes to detect potential fraud and support investigations.

Learn about Claim Scoring

Advanced link analysis to fight organized insurance fraud

Discover the hidden relationships and connections among claimants, providers, and businesses.

Learn about Network Analysis

Medical provider scoring

Advanced analytics and expert clinical oversight to detect medical provider fraud, waste, and abuse.

Learn about Provider Scoring

Missing details to complete claims

Get hundreds of supplemental data reports to enhance claim analysis and investigations.

Learn about Research Hub

Fraudulent images in claims identified

This automated process applies a series of algorithms to every customer-submitted loss photo to expose anomalies.

Learn about Digital Media Forensics

Anything we can do to make claims resolution faster, feel confident about our decisions, and generate a better user experience is a huge win for us. We’ve seen some tremendous success on all our KPIs with Claim Essentials.

Outdoorsy

Claims Executive

Related resources

Keep up with the latest developments in anti-fraud and decision intelligence from our industry experts.

Case study

Outdoorsy uncovers fraud, cuts cycle time

Find out how this fast-growing, self-insured company prevented more than $100,000 in fraudulent claims.

Download the case study

Article

Image forensics: How photo data can reveal claims fraud

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Article

Five data-driven strategies for fighting insurance claims fraud

As we enter 2020, the insurance industry looks much different than it did ten years ago.

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Article

Artificial intelligence in claims fraud: How AI is automating suspicious behavior detection

Insurers are turning to AI to detect claims fraud automatically – but to get the most from their analytics, they need to understand an anti-fraud system.

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Article

The critical role fraud scenarios play in advanced analytics

Neural networks, machine learning, multivariate random forest models, and various derivatives of the same are being used to create modern fraud detection models.

Read the article