The US Department of the Treasury’s Financial Crimes Enforcement Network (FinCEN) issued a Notice of Proposed Rulemaking on 7 April, aimed at fundamentally overhauling how financial institutions structure their AML/CFT programmes.
According to Workfusion, the proposed changes are being described as the most significant regulatory reform in 25 years — and they carry a clear message: the use of artificial intelligence in financial crime compliance is no longer just encouraged, it may soon be expected.
Workfusion recently detailed how FinCEN’s new AML/CFT program rules dnderscore financial institutions’ need to use AI.
The NPRM fact sheet explicitly states that FinCEN’s director would consider, when reviewing potential enforcement or supervisory action, “whether the bank is employing innovative tools such as artificial intelligence that demonstrate the effectiveness of the bank’s AML/CFT program, among other considerations that FinCEN’s Director may deem appropriate.”
Why regulators are getting behind AI
There are three key reasons regulators are increasingly embracing AI for AML/CFT operations. The first is scale. Criminal actors are already deploying AI to perpetrate financial crimes at volumes and speeds that human analysts simply cannot match. For any bank, FinTech, or financial institution to keep pace, scaling compliance operations through AI and automation has become a practical necessity rather than a competitive advantage.
The second driver is geopolitical. Governments are actively competing for relevance in global financial markets, pushing their regulatory bodies to modernise and engage with emerging technologies. Regulators that successfully adopt a technology-forward approach are better placed to support financial services firms in their own battles against financial crime.
The third reason is risk-adjusted effectiveness. AI agents deployed in AML/CFT compliance operate within well-defined, isolatable processes — making them well-suited to both expand programme scale and improve accuracy. WorkFusion’s financial institution customers, for instance, rely on AI agents to analyse and act on millions of alerts daily across areas including payment screening, name screening, adverse media monitoring, enhanced due diligence, AML transaction monitoring, and fraud detection. The result is compliance programmes that regulators can have greater confidence in.
Redirecting resources toward higher-risk customers
A significant strand of the NPRM focuses on reducing unnecessary compliance burden while improving overall programme quality. Among its major proposed reforms is “empowering financial institutions to direct more attention and resources toward higher-risk customers and activities rather than toward lower-risk customers and activities.”
This is precisely where AI-powered screening tools come into their own. By cutting through the noise of high-volume alert generation, AI agents allow FIs to surface the customers and transactions that warrant closer scrutiny — helping institutions direct human expertise where it matters most.
Once a high-risk customer has been identified, the next challenge is enhanced due diligence (EDD). This is where investigative AI agents represent a meaningful step forward. Rather than simply flagging data points, they interpret information in context, apply analytical reasoning, and arrive at a decision.
WorkFusion’s AI agent Edward illustrates this capability. Consider a US-based manufacturer that its bank has flagged as high risk due to its international supplier relationships, use of multiple shipping services, and volume of cross-border payments. Edward is capable of conducting a full EDD review of this customer on an annual basis, taking into account a broad range of factors: the types of products manufactured and their likely inputs, the legitimacy of listed suppliers, ownership information across all counterparties, the headquarters and branch locations of business partners, and more.
By synthesising this breadth of information into a coherent, reasoned assessment, Edward saves human investigators an average of one to three hours per case — accelerating response times and helping FIs that serve complex, high-risk clients to limit their exposure to potential losses.
With FinCEN’s proposed rules now out for consideration, the direction of travel is increasingly clear: AI is moving from a compliance enhancement to a compliance expectation.
Read the full Workfusion post here.
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