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AML Workforce Transformation: Greater Automation and Increased Expertise

Published Date
Author Adam McLaughlin

AML operating models are undergoing significant structural change, amid rapid advances in AI. 2026 is heralding a redeployment of skills for AML professionals across the regulated sector. Agentic agents capable of intelligence gathering and case investigation in fincrime operations are transforming the status quo. As automation reduces manual workload and repetitive tasks, regulators will expect firms to redeploy staff into higher-value roles.  

The traditional analyst-heavy model is giving way to a more specialized workforce. Investigators with a strong understanding of AI technologies and professionals with extensive investigative backgrounds, including complex cross-border investigations, are in demand. Regulators are already signaling that firms must demonstrate not only technological investment, but also the skills and governance to challenge and oversee those technologies. As a result, new skillsets including data science, model governance, and AI auditing are increasingly sought after by compliance teams in financial services.   

Evidence for this shift is emerging across multiple jurisdictions. The UK’s Financial Conduct Authority (FCA) has repeatedly emphasized the need for data-literate AML teams capable of understanding and governing advanced analytics. FinCEN’s proposed AML program reforms reference the need for programs to be ‘reasonably designed’ and ‘effective’, language that implies skilled oversight of models, data quality, and risk assessments. Global supervisors, including the Monetary Authority of Singapore (MAS) and the Australian government financial intelligence agency (AUSTRAC), have also highlighted deficiencies in AML talent and governance as root causes of enforcement actions. 

Examiners will increasingly ask how teams validate models, tune scenarios, assess typologies, and ensure governance keeps pace with technological change. Firms that fail to evolve their talent model - particularly those relying on large offshore alert-handling teams - will face heightened scrutiny. 

The organizations that succeed will be those that modernize quickly by equipping the right talent with the governance frameworks needed to oversee agentic AI capabilities.  

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About the Author

Adam McLaughlin, Director of Financial Crime Product, has nearly 20 years of experience across law enforcement, financial services and technology sectors. A recognized financial crime expert, Adam previously served as Global Director of Financial Crime Strategy and AML Subject Matter Expert at Nice Actimize, where he developed and executed comprehensive strategies to help firms manage and mitigate financial crime risk. Prior to that, he managed corporate and institutional banking financial crime compliance in EMEA for JP Morgan. Adam’s expertise in understanding evolving regulatory expectations, emerging threats and technology solutions guides Fenergo’s financial crime product roadmap and innovation strategy.

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