UiPath has launched a new purpose-built agentic AI solutions aimed at helping financial institutions automate highly complex operational workflows. The enterprise automation leader is specifically targeting two major friction points within the banking sector: financial crime compliance and loan origination.
Financial institutions are currently facing immense pressure from evolving regulatory requirements, heightened fraud risk, and growing consumer expectations for faster lending experiences. These external challenges are frequently compounded by internal operational and data bottlenecks that slow down investigations and delay critical loan decisions.
To address these systemic issues, UiPath has developed solutions that seamlessly combine agentic AI, automation, orchestration, and robust data governance. Crucially, the new offerings are complemented by the company’s recent acquisition of WorkFusion, a pioneer in AI agents specifically built for financial crime compliance.
Balancing regulation with speed

Mark Rubinstein, director of product management, Financial Services Solutions at UiPath, highlighted the dual pressures facing the modern banking sector.
“Banks and financial institutions are balancing two critical pressures, stricter regulatory expectations and growing demand for faster customer decisions,” Rubinstein stated. “UiPath Solutions address both by automating and orchestrating workflows across fraud detection, compliance, and lending—allowing teams to focus on high-value exceptions rather than full end-to-end reviews.”
Rubinstein noted that by augmenting existing systems of record without requiring a disruptive “rip-and-replace” approach, banks can accelerate their digital transformation without compromising governance or control.
Transforming financial crime compliance
By directly incorporating WorkFusion’s purpose-built AI agents into the wider UiPath platform, the new compliance solution aggressively automates key analyst workflows. This includes functions such as sanctions screening, alert reviews, and adverse media monitoring.
The AI agents actively analyze watchlist alerts, review contextual information across both internal and external data sources, and elevate only the most relevant cases to human investigators. Furthermore, an adverse media agent continuously scans multiple news sources to detect negative mentions. According to UiPath, this automation dramatically reduces manual research time from between 10 to 20 minutes per alert down to approximately 1 to 2 minutes.
Onni Chan, sanctions compliance manager at Valley National Bank, confirmed the operational impact of the technology. “Since implementing an AI agent for Transaction Screening Alert Review, we’ve automated 61% of sanction-hit reviews and are handling an average of 14,000 alerts monthly, freeing up branch and operations resources, enabling faster payments, and improving the employee experience,” Chan explained.
Streamlining complex loan origination
On the banking side, loan origination remains plagued by manual, time-consuming steps—particularly for complex assets like commercial real estate or first mortgages that require extensive human review during underwriting.
The new UiPath Lending Solutions utilize UiPath Maestro
to seamlessly orchestrate AI agents, automation workflows, and human decision-making across existing core banking platforms. The technology automates loan packet review and validation, performs deep risk analysis, and meticulously manages auditing and escalations.
Credit unions are already deploying the technology to manage surging volumes. Dom DiMaio, vice president of commercial services at Suncoast Credit Union, noted that automation is playing a key role in their mission to reach 2.5 million members by 2030.
“We have been rapidly growing in loan volume, and our QA and QC teams were spending a lot of time reviewing loan documents post-closing manually,” DiMaio said. His colleague, intelligent automation director Dottie Dunn, added that UiPath has partnered with Suncoast to completely streamline this review and audit process. “This approach aims to speed up the review process and increase the team’s capacity,” Dunn stated.
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