For two decades, banks and insurers have tried to reduce false positives by tuning systems, adding rules, outsourcing review teams, and expanding operations centers. Yet sanctions, watchlist, PEP, and adverse media alerts keep rising, and more than 90% still require human review. Backlogs grow. Costs climb. Regulators push harder.
It’s time to rethink the problem entirely.
In this webinar Andrew Szabo, Head of Industry Vertical, Financial Services at UiPath, and Kyle Hoback, VP of AI Solutions at WorkFusion, a UiPath Company, explore how AI Agents purpose‑built for financial crime compliance are eliminating the false‑positive problem by automating the full review process. These agents are gathering data, applying reasoning, and documenting decisions in seconds. This session reframes the conversation from reducing false positives to making them irrelevant to your operating model.
What you’ll learn:
- Why false positives persist and why decades of tuning haven’t solved the problem
- How AI Agents replicate L1 analyst reasoning to resolve alerts instantly and consistently
- How UiPath orchestrates AI Agents, data, and human‑in‑the‑loop controls across the FCC workflow
- Why eliminating the false‑positive problem is now more impactful than reducing false positives
- Real outcomes from industry use cases: dramatic reductions in backlog, manual review time, and operational cost
Join us for a candid, practical conversation on how leading institutions are modernizing sanctions screening and adverse media alert review and finally solving the false‑positive problem.
Stay tuned for announcements for the rest of our series coming soon!
Speakers
Andrew Szabo
Financial Services Industry Practice Lead
UiPath
Kyle Hoback
VP of AI Solutions
WorkFusion, a UiPath company