Fraud Detection for the Department of Work and Social Economy

Turning data into action

The Department of Work and Social Economy (WSE) monitors the proper use of employment support measures in Flanders—like service vouchers and training incentives. A key part of that mission is inspecting for misuse and fraud.

Rather than seeing data as a challenge, WSE saw an opportunity. By analysing existing data sources more intelligently, they could predict where fraud was likely to happen—and prioritise inspections accordingly.

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Focusing on the right cases

Team Vectr.Consulting worked closely with WSE’s internal data team to develop fraud detection models tailored to their context. These AI-driven tools help inspectors:

• Identify suspicious behaviour in service voucher usage.
• Connect signals across multiple data sources.
• Automatically rank cases based on risk level.

This lets inspectors shift their focus to the cases that matter most—resulting in faster follow-up and more effective enforcement.

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Scaling impact across the organisation

WSE is now exploring AI-powered risk scoring, combining past insights with new data to proactively highlight potential fraud. It’s a move from random checks to smart, predictive inspection—and a major leap forward in public service efficiency.

Beyond fraud detection, WSE is applying the same smart approach to other areas. For example:

• Incoming emails about training incentives are analysed and categorised using NLP.
• FAQs and internal scripts are improved based on real-world questions.
• Calls to the 1700 helpline are mapped to uncover common pain points.

These tools don’t just help inspectors—they make daily operations smoother and smarter for everyone.

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