Rethinking financial crime decision-making in the age of scalable AI workforces

With financial crime growing in scale and complexity, compliance models built around manual reviews and individual judgement are no longer sufficient to meet those risks.

 

AI agents replicate the decision-making patterns of experienced investigators and scale analytical capacity without increasing headcount.

 

How organisations can design an effective hybrid operating model in which AI agents function as a scalable investigative workforce, integrated into existing compliance environments and governed by human oversight and accountability?

 

In our next episode of FinTechTalk with Charles Orton-Jones, we’ll explore: 

• How compliance teams can move beyond sole reliance on individual human judgement by augmenting it with AI agents
• Where AI agents enhance human decision-making in detecting, prioritising, and preventing financial crime
• How organisations can design an effective hybrid operating model in which AI agents function as a scalable investigative workforce

Join us explore how organisations can combine human expertise with AI agents to build faster, more resilient, and more scalable decision-making systems.