Netherlands launches AI chatbot to boost financial crime investigations
The Netherlands FIOD has launched an AI chatbot to aid financial crime investigations by analyzing data and interpreting laws. This tool speeds up case reviews and improves investigative accuracy.
Netherlands Launches AI Chatbot to Support Financial Crime Investigations
Officials in the Netherlands have introduced an AI chatbot to assist financial crime investigators. Developed by the Netherlands FIOD (Fiscal Information and Investigation Service), this tool helps law enforcement quickly sift through large volumes of data.
According to the FIOD's 2024 annual report, the chatbot supports investigative procedures by answering questions, interpreting laws and regulations, and referencing relevant case law. This makes the investigative process more efficient and informed.
Expanding AI Applications in Investigations
The FIOD is also experimenting with other AI tools, including one that analyzes vast amounts of communication data from seized phones and laptops. This AI can detect connections between messages that manual reviews might miss, enhancing the quality of investigations.
These AI tools enable faster and more effective examination of the growing volume of seized data. The agency plans to continue developing this investigative toolkit in the coming years.
Growing Digital Expertise in Financial Crime Units
The FIOD's report highlights a shift toward digital investigations as a core part of their work. They have invested in expertise related to tracing money flows through blockchain technology and managing cryptocurrency seizures.
To expand this digital knowledge, the FIOD is partnering with universities and increasing its specialist workforce focused on digital investigation techniques.
AI Adoption Across Europe
The FIOD joins other European financial crime agencies in adopting AI. Germany’s BaFin started using AI tools in June 2024 to detect market abuse and suspicious trading patterns. Similarly, French authorities have leveraged AI in investigations, contributing to uncovering €16.7 billion in fraud this year—double the amount detected five years ago.
These examples demonstrate a broader trend of integrating AI into financial crime investigations to improve detection and enforcement outcomes.
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