Pre-built AI agents clear false positive alerts across sanctions, payments, and adverse media. Expand capacity without adding staff.
The UiPath Solution for Financial Crime Compliance
Pre-built AI agents clear false positive alerts across sanctions, payments, and adverse media. Expand capacity without adding staff.
Each agent integrates with existing screening tools and case managers. Pre-trained, audit-ready, and in production at banks today. Powered by WorkFusion.
Ready to deploy
Reviews name sanctions, PEP, and watchlist alerts
Evelyn automates L1 review of name sanctions, PEP, and other watchlist alerts—clearing false positives with packaged evidence and escalating only real risk.
Ready to deploy
Real-time sanctions review for payments
Tara finalizes L1 sanctions review on payment transactions in real time—unblocking payments and keeping OFAC volumes under control.
Ready to deploy
Review of adverse news (historic screens and ongoing monitoring)
Evan analyzes and prioritizes news articles from premium sources. Cuts L1 adverse media review from 10–20 minutes down to 1–2, without copy-paste.
Works with LN Firco Continuity, LN Bridger, TR Clear, Moody's GRID, Dow Jones Factiva, and more.
Integrates with Epic, Cerner, Meditech, and your payer systems without replacing them.
Every decision produces a defensible narrative for QA and regulator review.
Pre-trained models and pre-built integrations, not years of custom build.
See the broader banking automation portfolio: lending origination, capital markets, treasury, and more.
Short demos showing how alert review and adverse media are automated with existing systems.
Case study
With Evelyn, 52% of alerts no longer need manual review and overall manual effort dropped 70% — absorbing volume spikes and keeping analysts on real risk.
A true AML story. See how one bank moved from backlogged alert queues to automated L1 review across sanctions and adverse media.
WHITE PAPER
A playbook for eliminating the biggest tax on FCC operations: the manual review of false positive alerts.
"Evelyn has helped us gain efficiency across the board—not just to help identify false positives but also better identify true positives and ensure all reviews are consistent and repeatable."
White paper
Separates AI hype from the concrete, production-grade applications delivering measurable impact in FCC today.
White paper
As bad actors sharpen their game, FIs must too. A look at where AI agents measurably reduce program risk.
White paper
Why false positives have been the unresolved tax on compliance ops for decades — and how AI agents change the economics for AML and KYC.
What financial crime compliance is, why automation matters, and how the UiPath agents fit into the work banks already do.
Financial crime compliance (FCC) is how financial institutions identify, prevent, and report illicit activity—covering anti-money laundering (AML), sanctions screening, adverse media monitoring, and know your customer (KYC). FCC combines regulation, process, and technology to protect the bank and the broader financial system.
An FCC framework is the set of policies, controls, and technology a bank uses to meet its AML and sanctions obligations. It typically covers KYC onboarding, ongoing customer screening, sanctions alert review, adverse media monitoring, case management, and regulatory reporting. Each stage generates alerts, and the review of those alerts is where manual effort and cost stack up.
UiPath does not replace the screening, AML, or case management tools banks already run. It adds an automation layer on top: pre-trained AI agents that handle the manual L1 review of alerts those tools generate. Evelyn clears name and PEP alerts, Tara clears payment sanctions alerts in real time, and Evan analyzes adverse media. Every decision is audit-ready.
No. Detection is handled by the bank's existing screening tools, news sources, and case managers. The UiPath AI agents plug into those tools and automate the manual review of alerts they generate—clearing false positives with packaged evidence and escalating only what needs a human decision.
Across UiPath deployments, 60–80% of L1 review effort is eliminated. Agents handle the false positives—which make up the vast majority of alerts—and pass the rest to analysts with data-point-by-data-point evidence. That capacity then goes back to real risk and higher-value investigations.
Fill out the form and a UiPath FCC specialist will reach out to set up your demo. Prefer to explore on your own first? See the broader banking solutions portfolio.
