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Claims Case Demo: Automating Data Aggregation for Insurance Fraud Investigations

Fraudsters and organised criminals are becoming ever more sophisticated in their approach to keep ahead of insurers, targeting motor, home and commercial insurers and almost all areas of insurance fraud from Ghost Broking and supply chain fraud through to misrepresentation and personal data manipulation.

With this increase in complexity around fraudulent behaviour, claims validation and fraud detection procedures are becoming more time consuming and investigative expertise requires more data sources to help identify hidden links.

When researched individually, logging in and out of each application is time consuming and operationally inefficient.

Our solution Scout® tackles this problem head on. Scout® is a one of a kind, highly configurable platform for automating fraud detection and claims validation checks. Scout® automates the gathering, cleansing, risk assessment and presentation of your chosen Synalogik, third-party and internal datasets combined with your watchlists and open-source intelligence in one unified search.
It generates bespoke risk assessments and alerts on any data source across multiple entities and creates investigation reports within seconds, saving up to 85% of your time.

Watch the video to:

  • Get a high-level overview of how Scout® works.
  • Learn about our unrivalled range of datasets offering greater insight, choice and speed of deployment.
  • See Scout® in action shown through a claims investigation and how it helps it each step of the way.
  • Learn More:

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Blog

How Insurers can Utilise Technology to More Efficiently Risk Assess Claims, Discover Fraud, and Improve Customer Satisfaction

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Case Study

Scout® Successfully Combats Insurance Claim Supply Chain Fraud

For a Proof of Value, Scout® identified in excess of £1.6 million in annual fraud savings, delivered a 52% increase in fraud detection, and saved 288 hours, compared to manual processing.

 

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