BSA/AML Analyst
Enhanced Due Diligence (EDD)
What You Do Today
Conduct deeper investigations on high-risk customers — PEPs, MSBs, foreign correspondents, cannabis-related businesses. EDD requires more documentation, more frequent reviews, and more uncomfortable questions.
AI That Applies
AI that aggregates risk intelligence from global databases — PEP lists, corporate registries, beneficial ownership databases, and adverse media — into a comprehensive risk profile.
Technologies
How It Works
The system ingests global databases — PEP lists 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. The risk decision.
What Changes
Background research that took a day compiles in an hour. The AI connects corporate ownership chains, identifies PEP relationships, and flags adverse media across languages and jurisdictions.
What Stays
The risk decision. EDD customers are high-risk by definition — the question is whether the risk is manageable. That requires understanding the customer's business, applying your institution's risk appetite, and sometimes saying no.
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 enhanced due diligence (edd), 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 enhanced due diligence (edd) 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 enhanced due diligence (edd)?”
They set the risk appetite for AI adoption in regulated processes
your legal counsel
“Who on our team has the deepest experience with enhanced due diligence (edd), 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 enhanced due diligence (edd), 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.