Designing Smarter Watchlist Screening with Built-In Intelligence

• How to configure dynamic watchlist rules using granular filters, entity types, and list selection
• When and why to apply onboarding, ongoing, ad hoc, and payment screening differently
• How fuzzy matching can be tuned to improve precision and reduce false positives
• What makes Unit21 investigations more efficient, including side-by-side comparisons and customizable display settings
• How the AI Sanctions Agent fits into a human-in-the-loop workflow to reduce alert volume without sacrificing accuracy

Watchlist screening is essential—but for many teams, it’s also noisy, rigid, and operationally expensive. From onboarding delays to alert fatigue in ongoing monitoring, compliance teams are under pressure to improve precision without slowing the business.

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In this live, tactical session, Unit21 product and compliance experts walk through how modern watchlist screening can be configured, tuned, and scaled across onboarding, ongoing monitoring, and real-time payments—all from a single, unified platform. We’ll demonstrate how Unit21 supports sanctions, PEP, and adverse media screening, and where AI can responsibly step in to reduce manual effort.

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You’ll see a live walkthrough of Unit21’s Watchlist framework, including how teams can apply granular filters, entity types, and list selection to better match risk to use case—whether you’re screening a new customer, monitoring an existing one, or evaluating a payment in real time.

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We’ll also go behind the scenes of Unit21’s AI Sanctions Agent, a precision-trained virtual analyst designed specifically for sanctions alerts. Learn how it reviews alerts with transparency and auditability, helping teams reduce manual reviews while maintaining regulatory confidence.