Fraud Detection with Graph Analytics

Vectr.Consulting
Predictive Analytics
Public Sector

Fraud Detection with Graph Analytics

The Client’s challenge

The DWES (Department of Employment and Social Economy) - part of the Flemish government - is responsible for policy on employment and social economy. DWSE also distributes both electronic and paper service vouchers that can be used as subsidized payment for one hour of household help. During manual audits, several violations against the specific rules of using service vouchers were found.

Our Solution

To increase the fraud detection rate, an AI-based application has been built, combining techniques such as outlier detection, time-series analysis and graph analytics with machine learning, resulting in AI models that are capable of detecting patterns indicative of fraud. Results are scored and the models constantly learn from the inspector’s feedback.

Created impact

The result was astonishing: not only the upfront known fraud cases were clearly picked up, several other candidate fraud cases were detected. The application offers the inspectors a useful tool tot arget investigations. After the initial increase in the fraud detection rate, the AI tool now successfully helps preventing fraud.

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“I believe artificial intelligence has the power to change the world, and at Cronos we're doing just that.”
Fiore Fraquelli
Bussiness developer Cronos.AI