Are fraud teams redesigning operating models to manage rising alert volumes and evolving typologies under resource constraints?  

Where can AI, automation, and advanced analytics deliver the greatest operational value, and where does human expertise remain essential?  

As fraud, AML and financial crime risks converge, what changes are required to operating models, team structures and workflows?