BSA/AML Analyst
Sanctions Screening
What You Do Today
Screen customers, transactions, and counterparties against OFAC SDN, sectoral sanctions, and other watchlists. True matches require immediate action — you can't just flag it for later.
AI That Applies
AI-enhanced sanctions screening with contextual matching that reduces false positives. ML models that distinguish between true matches and coincidental name similarities using additional data points.
Technologies
How It Works
The system ingests additional data points as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
False positive rates drop from 98% to under 50% through contextual matching. The AI considers name, geography, date of birth, and transaction patterns — not just string matching.
What Stays
True match escalation. When there's a potential sanctions match, the decision to block, reject, or escalate requires compliance expertise and often legal counsel. The timeline is hours, not days.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for sanctions screening, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long sanctions screening takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your Chief Compliance Officer
“What data do we already have that could improve how we handle sanctions screening?”
They set the risk appetite for AI adoption in regulated processes
your legal counsel
“Who on our team has the deepest experience with sanctions screening, and what tools are they already using?”
AI in compliance creates new regulatory interpretation questions
a regulatory affairs peer at another firm
“If we brought in AI tools for sanctions screening, what would we measure before and after to know it actually helped?”
They can share how regulators are responding to AI-assisted compliance
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.