Financial institutions are under mounting pressure to improve their enhanced due diligence (EDD) programmes, long regarded as one of the most resource-intensive areas of anti-money laundering (AML) compliance.
WorkFusion, a pioneer in AI-driven compliance automation, believes it has the answer. Its newly launched AI Agent Edward promises to radically improve the way firms approach high-risk customer reviews.
EDD has absorbed close to 25 years of investment, yet many financial institutions still find themselves bogged down by manual work. WorkFusion’s introduction of Edward aims to break that cycle, offering institutions a way to deliver on EDD’s original promise: identifying and mitigating risk among the riskiest clients with greater speed and precision.
Edward builds on WorkFusion’s proven AI Agent technology, already in use across multiple AML processes, from adverse media monitoring and sanctions screening to Know Your Customer (KYC) and transaction monitoring investigations. The company claims financial institutions can expect significant efficiency gains and a step change in execution quality, mirroring the transformation its AI Agents have brought to Level 1 analyst functions.
In a recent whitepaper, A Generational Shift in AML Compliance: How AI is Transforming Enhanced Due Diligence, WorkFusion’s head of financial crime compliance David Caruso highlighted why transforming EDD matters so much. He noted that throughput gains of just three to five times the normal rate could represent a major leap forward in programme effectiveness. “EDD today, without AI, remains strikingly similar to the EDD of 2007 – with little change in the reliance on manual and repetitive work,” Caruso said.
When EDD was first introduced after the Patriot Act, its remit was narrow, focused on foreign correspondent banks and certain private banking accounts. Over time, its scope broadened to cover a wide array of products, services, and customer types. Institutions responded by hiring large EDD teams and investing heavily in systems, but the reliance on manual work never went away. Edward, however, is designed to flip this paradigm. By automating data collection, document checks, and preliminary analysis, Edward can reduce manual EDD effort by 40–60%, freeing analysts to focus on higher-value risk assessments.
Edward’s core capabilities include automated data gathering from KYC files, transaction monitoring, case management systems, and external sources. It structures and formats this data for investigators, analyses transaction patterns, and conducts background checks on key parties such as beneficial owners. The system then generates comprehensive dossiers ready for analyst review, supporting better-informed risk rating decisions.
These advances are powered by a suite of AI technologies honed over more than a decade of WorkFusion’s experience in financial crime compliance. Intelligent document processing extracts key data from complex legal and corporate filings, while machine learning detects anomalies in customer behaviour. Natural language processing scans media reports and public filings for potential risks, and generative AI produces timelines, flow charts, and summaries to aid investigations.
Perhaps most importantly, Edward brings consistency. Unlike human analysts, who can become fatigued by repetitive tasks, Edward works tirelessly, ensuring fewer missed leads and a more reliable compliance process. WorkFusion positions Edward as a major step forward for financial institutions seeking to balance regulatory demands with efficiency in an increasingly complex risk environment.
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