Sherlock. Optimizing insurance fraud detection and investigation
Sherlock is a fraud prevention service which allows insurance companies to manage the identification and fraud prevention stages faster and more efficiently.
 

Multilingual and multiline (supporting motor, home, personal injury, health, marine, travel and pet insurance lines), Sherlock can integrate any internal and external information source, and analyze the results using innovative machine learning and analytics tools. A unique and intuitive interface enables claims and policies to be quickly classified on the basis of the actual risk of fraud, checking personal identity, reporting anomalies, and performing customer intelligence activities.

Using tools which allow users to configure their own expert rules and multidimensional anomaly identification functionality, it is now possible to move from a verification approach based on the characteristics of the individual claim and with a limited number of variables, to the analysis of a combination of multiple variables which are difficult to analyze manually and using traditional algorithms.

Therefore, Sherlock enables potentially unknown or not previously identified fraud scenarios to be discovered and individual cases to be examined in more depth, carrying out additional checks on related subjects, third parties and associated addresses through the network analysis function, showing the identified links graphically.

Through a simple and comprehensive report, it is possible to quickly identify any anomalies and areas of risk, which require further investigation and to analyze the searches carried out thanks to the traceability of all the activities performed on each subject under investigation.
 

Users can carry out interactive searches in real time, and view on a single screen the aggregate results of all the links generated from a wide range of variables relating to individuals, companies, addresses, vehicles, e-mail addresses, telephone numbers, etc., which could also be relevant across different claims.
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KEY BENEFITS
•    Identifies hidden claims connections between parties of past and present claims.
•    Performs a complete claims risk evaluation in just a few seconds thanks to more than 200 expert rules developed by our fraud specialists. 
•    Evaluates the level of anomaly of each claim, based on proprietary machine learning techniques to selectively manage claims based on relevancy.
•    Provides a detailed output that allows you to start an investigation immediately.
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