Avendar and JADS launch bootcamp: investigating with AI
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Investigating fraud and organized crime is becoming increasingly complex, while capacity is under pressure. Together with Avendar, a European AI platform that provides intelligent automation for critical decisions in high-risk environments, JADS Professional Education is launching its first bootcamp this fall to help investigators use AI responsibly and effectively.
Public institutions across Europe are dealing with growing caseloads, more diverse data sources, and higher expectations for the quality of investigations, often with the same or fewer resources. At the same time, AI offers new ways to identify patterns, set priorities, and support analysis. The question is no longer whether AI can help, but how to use it in a way that is legally sound, transparent, and aligned with professional judgment.
That is why Avendar and JADS are combining academic expertise with practical experience from the public sector in a three-day bootcamp for professionals working in enforcement, compliance, and intelligence. Avendar contributes experience from criminal investigations and Bibob integrity assessments, including work with the Dutch National Police. JADS brings research expertise in trustworthy AI, explainable models, and human-AI collaboration in high-impact decision-making.
Three days, from foundations to application
Each day builds on the previous one. Participants start by developing a shared understanding of AI, explore practical examples in greater depth, and finish by developing a concrete application for their own organization:
Day 1 – 6 November 2026: Fundamentals, Data, and Responsible Use
You’ll start with the basics: what is AI, how does generative AI work generally, and what applications are relevant to fraud and subversion investigations? You’ll explore what types of data are usable, what limitations exist, and how AI can support
information processing. You’ll also discuss the key risks. How do you ensure the quality of AI outputs? How do you address bias, privacy, transparency, and human oversight? The emphasis is on understanding, critically evaluating, recognizing where traditional detection falls short, and applying AI responsibly within an investigative context.
Day 2 – 20 November 2026: Applications in Investigation and Analysis
On the second day, you’ll explore AI in the context of fraud investigations. You’ll work with examples involving transactions, permit applications, annual reports, public records, and other case files. You’ll explore how AI can help identify patterns and anomalies, and how to interpret results without jumping to conclusions. You’ll also map out your own work process. Where does information processing take a lot of time? Where does noise arise? Where can AI provide support, and where is human interpretation indispensable? This way, you’ll translate the possibilities of AI into real-life situations within your own organization.
Day 3 – 4 December 2026: Build Your Prototype with Industry Experts
On the third day, you’ll work toward a concrete application for your own organization or team. You’ll use insights from the first two days to develop a concrete solution. Together with experts from Avendar, you’ll assess feasibility, risks, and next steps. This way, you’ll gain hands-on experience of what AI can contribute to information processing and analysis, while maintaining control over your own environment. You’ll leave with a working initial prototype that you can use to move forward within your organization.
For who is this bootcamp?
This bootcamp is relevant to professionals working in fraud, organized crime, supervision, enforcement, compliance, or security. No technical background is required. Experience with investigative processes, risk assessment, information analysis, or decision-making is helpful.
The bootcamp is relevant to:
- organized crime analysts
- fraud investigators and anti-money laundering investigators
- intelligence analysts and OSINT analysts
- detectives and criminal investigation officers
- compliance officers, risk officers, and AML specialists
- data analysts and data scientists
- team leaders, department managers, and security advisers
- professionals working in municipalities, ministries, supervisory authorities, enforcement organizations, banks, and insurance companies