• Re-engineering anti-fraud processes using AI & big data

Re-engineering anti-fraud processes using AI & big data

Modular framework to investigate suspicious items and detect frauds
Combining AI and advanced analytics to introduce dynamic fraud detection in the European insurance market. GFT re-engineered anti-fraud processes for an Italian insurance company and increased the rate of fraud detection by 30% and the performance in daily real-time reporting by 40%.
Re-engineering anti-fraud processes using artificial intelligence and big data
Re-engineering anti-fraud processes using artificial intelligence and big data

Operational efficiency

Real-time technology

Improved scoring effectiveness

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Partner
Rulex
Founded in the U.S., Rulex is a leader in no-code software for data preparation, machine learning, and optimisation. Adopting a unique, logic-based approach to predictive analytics enables business and process experts to create and deploy AI applications without programming. Rulex offers a new way of making business decisions and has been adopted in many sectors, including automotive, financial, supply chain, education, energy and healthcare.

Challenge

Challenge

Arresting fraud in the European insurance market

Engagement

Engagement

Implement a solution combining real-time data, rules and predictive modelling, and real-time scoring

Benefit

Benefit
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Your expert | Insurance
Alain Lamothe
Global Head of Insurance
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  • Success story

    Re-engineering anti-fraud processes using AI & big data