AI Agents are reshaping financial crime compliance, acting as tireless, digital members of compliance teams that enhance efficiency and accuracy. WorkFusion’s AI Agents are each focused on a singular compliance process, from KYC and transaction monitoring to sanctions screening, adverse media checks, and AML investigations.
According to Workfusion, they work alongside human colleagues to cut manual workloads, maintain quality, and increase capacity, enabling teams to uncover the “true positives” hidden among masses of false positives. By taking on repetitive, low-value tasks such as data collection and document handling, they allow compliance professionals to focus on higher-value strategic work.
The speed and consistency of AI Agents provide measurable improvements in performance for financial institutions of all sizes. Their always-on capability means they can continuously drive results, delivering significant returns on investment and supporting teams under pressure from rising compliance demands.
In financial crime prevention, data quality and security are paramount. AI Agents from WorkFusion are built to ensure both. Drawing on more than a decade of expertise in processing AML-related data, they use pre-trained models to make an immediate impact and continuously learn from the specific datasets of each institution. They also help firms fully utilise existing data subscriptions by aggregating and integrating it into compliance processes, making it more workable and valuable.
Security concerns over AI data use are addressed through flexible deployment options. While many associate AI with cloud-based LLMs, models such as Meta’s Llama or Mistral AI can run entirely within an organisation’s firewall. Several WorkFusion customers already operate AI Agents on-premises, ensuring data never leaves their controlled environment. The company maintains a strict best-practice security posture across cloud, hybrid, and on-premises setups, and never takes possession of a client’s data.
AI Agents can integrate with modern and legacy systems alike. Banks often store customer data across multiple systems, some of them decades old. APIs enable straightforward integration, but WorkFusion’s AI Agents also access data via documents, user interfaces, and other channels beyond APIs. This versatility allows them to tap into systems from providers such as LexisNexis, Thomson Reuters, Moody’s, NICE Actimize, Verafin, SAS, Oracle SCM, Fiserv, and FIS, alongside case management tools and external data sources.
Rather than requiring custom builds, WorkFusion’s AI Agents are pre-trained and designed to collaborate with humans where nuanced decisions are necessary. This makes them accessible to both large and smaller financial institutions, removing the need for in-house AI specialists. Compliance professionals can concentrate on complex investigations while AI handles the routine work.
Importantly, these solutions are explainable and regulator-ready. Each AI Agent operates within a “glass box” model, supporting model risk management and building trust with both senior leadership and regulators. For example, Tara—WorkFusion’s AI Agent for sanctions alert adjudication—reduces manual false positive reviews by over 70% each year. Her decisions are powered by a combination of four AI/ML models and a rules engine, all tested rigorously to ensure accuracy and robustness, with full audit trails and reporting in line with supervisory guidance.
As regulatory scrutiny grows and compliance workloads increase, AI Agents offer a scalable way for financial institutions to maintain quality, safeguard data, and achieve operational gains without overburdening human teams.
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