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Nasdaq Verafin Pilots Agentic AI AML-Workers

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Nasdaq’s anti financial crime arm, Verafin, is piloting a set of agentic AI ‘digital workers’ designed to handle the labour-intensive parts of anti money laundering (AML) compliance – tasks such as clearing false positive sanctions alerts and performing routine enhanced due diligence (EDD) reviews.

Financial crime teams remain under heavy pressure. In a survey of more than 200 industry professionals, Verafin found that threequarters of respondents had hired more staff over the past year, yet almost half still felt short of the resources and technology needed to keep pace with regulators. Automating low risk, high volume work promises a way to redeploy scarce human investigators to the complex cases that matter most.

What the AI Workers Do

  • Sanctions screening agent: Reviews alert queues, fully documents low risk false positives, and escalates genuine matches for human follow up.
  • EDD analyst: Automates scheduled customer risk reviews, closing straightforward low risk cases and flagging those that warrant deeper scrutiny.

Nasdaq’s anti financial crime arm, Verafin, is piloting a set of agentic AI ‘digital workers’ designed to handle the labour-intensive parts of anti money laundering (AML) compliance – tasks such as clearing false positive sanctions alerts and performing routine enhanced due diligence (EDD) reviews.

Financial crime teams remain under heavy pressure. In a survey of more than 200 industry professionals, Verafin found that threequarters of respondents had hired more staff over the past year, yet almost half still felt short of the resources and technology needed to keep pace with regulators. Automating low risk, high volume work promises a way to redeploy scarce human investigators to the complex cases that matter most.

What the AI Workers Do

  • Sanctions screening agent: Reviews alert queues, fully documents low risk false positives, and escalates genuine matches for human follow up.
  • EDD analyst: Automates scheduled customer risk reviews, closing straightforward low risk cases and flagging those that warrant deeper scrutiny.

Both tools are in beta, with a broader rollout expected later in the year.

Regulators have signalled growing tolerance for responsible AI deployment in compliance, provided firms maintain robust oversight. Independent AML consultants note that digital co-workers can cut investigation times but caution that firms will need clear audit trails if decisions are challenged.

Rob Norris, Verafin’s head of product, framed the initiative as a way to let compliance teams focus on “the important work of tackling serious financial crimes such as human trafficking, drug trafficking, and other facets of organized crime.”

If the beta proves reliable, banks could see a double benefit: reduced operational spend on routine alert handling and faster escalation of true risk, a combination some analysts say is essential as sanctions regimes and criminal typologies rapidly evolve. Both tools are in beta, with a broader rollout expected later in the year.

Regulators have signalled growing tolerance for responsible AI deployment in compliance, provided firms maintain robust oversight. Independent AML consultants note that digital co-workers can cut investigation times but caution that firms will need clear audit trails if decisions are challenged.

Rob Norris, Verafin’s head of product, framed the initiative as a way to let compliance teams focus on “the important work of tackling serious financial crimes such as human trafficking, drug trafficking, and other facets of organized crime.”

If the beta proves reliable, banks could see a double benefit: reduced operational spend on routine alert handling and faster escalation of true risk, a combination some analysts say is essential as sanctions regimes and criminal typologies rapidly evolve.

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