From research to reality: fighting industrialized financial crime
There is a growing tendency to frame advances in artificial intelligence through the lens of breakthroughs: new models, new architectures, new capabilities.
Innovation is often measured by what is invented, and how quickly.
But in some domains, this framing misses the point entirely.
Financial crime is no longer a collection of isolated incidents, it has evolved into an organized, adaptive, and increasingly industrialized system.
Criminal networks operate across geographies, leverage automation, and continuously refine their methods: they test, iterate, and scale, just as any high-performing organisation would.
In such an environment, the question is not whether an AI system is innovative. It is whether it can operate at the same level of organisation, speed, and adaptability as the threats it is designed to counter.
When Innovation Meets Reality
Most AI breakthroughs do not survive contact with real-world systems.
In controlled environments, models perform well. Data is structured, assumptions hold, and...
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