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Support runs through a demo request and a dedicated implementation process rather than self serve channels. Onboarding is quoted at four to six weeks with minimal training, and customer stories document deployments at named banks.
Learn moreAI agents that review and resolve AML alerts like trained analysts
WorkFusion is a task completion tool. AI agents for AML, sanctions screening, adverse media and KYC that review and resolve Level 1 and Level 2 alerts with documented, regulator ready reasoning. Built for banks and regulated financial institutions, with onboarding typically in four to six weeks and custom agents available for adjacent back office work.
WorkFusion builds AI agents for financial crime compliance, aimed at banks, payment providers and other regulated institutions that carry heavy alert volumes across anti-money laundering, sanctions screening, KYC and transaction monitoring. The core proposition is narrow and deliberate: rather than flagging alerts the way a screening engine does, the agents take on Level 1 alert reviews and Level 2 investigations, applying analyst logic to each case and escalating only the records that carry real risk. Every decision is written up with a narrative and an audit trail so it can be defended to a regulator. In day to day use the agents sit downstream of existing screening and monitoring systems. Alerts flow in, the agent pulls the relevant data, reaches a disposition and documents its reasoning; genuine matches move up to human investigators. WorkFusion reports that this removes the backlog problem entirely rather than shrinking it, because review happens in seconds and volume stops being the constraint. Prebuilt agents cover sanctions and PEP name screening, transaction sanctions screening, adverse media, transaction monitoring, enhanced due diligence and customer onboarding. Onboarding is quoted at four to six weeks with minimal training, and the vendor says GenAI narration pushes straight through processing toward 95 percent. Explainable output is aligned with model risk management expectations. The buyer here is an compliance operations leader, not an individual analyst. Ten of the top 20 banks are named as customers, alongside Scotiabank, Raymond James, BMO, Deutsche Bank and Valley, and the company holds SOC 2 certification. Teams that already outsource Level 1 review to contractors, or that have spent years tuning rule sets to suppress false positives, are the natural audience. Custom agents can be built for adjacent back office work such as billing, customer service and data analysis. Pricing is not published, so budget conversations start with a demo request.
Support runs through a demo request and a dedicated implementation process rather than self serve channels. Onboarding is quoted at four to six weeks with minimal training, and customer stories document deployments at named banks.
Learn moreThe homepage does not describe integrations in detail. A blog post covers an expansion through managed services and the UiPath partner ecosystem, and the agents are designed to sit downstream of a firm's existing screening and monitoring systems.
Learn morePrebuilt AI agents handle Level 1 alert review and Level 2 investigation across anti money laundering, sanctions and PEP screening, transaction sanctions screening, adverse media monitoring, KYC and transaction monitoring. Each decision carries a narrative and audit trail, output is explainable in line with model risk management, and GenAI is used to extend automation and move beyond template narratives. Custom agents can be built for other back office processes.
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