Digital transformation of anti-money laundering business processesLutar, Ajša (Avtor) Sternad Zabukovšek, Simona (Avtor) anti-money laundering (AML)digital transformationbusiness process management (BPM)business analyticsorganisational analytical capabilitiesanalytics-driven AMLAnti-money laundering (AML) is becoming an increasingly information-intensive business process requiring advanced analytical support for effective organisational decision-making. Although previous research has extensively investigated machine learning, graph analytics, and other analytical methods, existing studies largely examine these approaches as isolated technological solutions. This conceptual study adopts a business process perspective. It develops a capability-oriented framework for analytics-driven AML by synthesizing digital transformation, business process management, business analytics, and AML literature. This perspective conceptualises the digital transformation of AML as the coordinated development of interconnected organisational analytical capabilities embedded within business processes. The study contributes by integrating previously fragmented research streams into a coherent, management-oriented perspective. It provides a conceptual foundation for future empirical research and practical guidance for financial institutions pursuing analytics-driven AML transformation.20262026-09-28 14:27:42Znanstveno delo100610sl