AML Compliance Officer Playbook
Turn Typology Reports Into Detection Scenarios
Your rules have gaps you cannot see
Most programs lack documented detection indicators for each core typology, so transaction monitoring rules drift out of alignment with the schemes they are supposed to catch. FinCEN advisories and FATF publications describe emerging methods, but translating them into detection scenarios, training content, and risk indicators your team can actually use is where programs fall short.
A typology library that was current three years ago is not a compliance asset; it is a liability waiting to surface during your next exam.
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What is inside
What changes once you have read it
Close the gaps in your monitoring rules
Map each core typology to documented detection indicators so your rules match the schemes they are meant to catch.
Calibrate controls to each laundering stage
Tune structuring detection for placement, beneficial ownership checks for layering, and connect the dots before integration makes funds look clean.
Surface insider-enabled laundering
Embed override, SAR-suppression, and sole-contact indicators into employee monitoring, and review alert closures by analyst rather than overall system performance.
Keep the library current by design
Run a formal cadence tied to new advisories, annual rule audits, and sector enforcement actions, so nothing goes stale between exams.
Why this playbook
Grounded in primary sources
Every claim traces to named regulation and examiner guidance, not generalities.
Frequently asked questions
Typologies lead, but the playbook connects them to risk assessment, cash and courier oversight, sanctions screening, fraud and mule coordination, training, and exam readiness across eight chapters, each closing with key takeaways.
It focuses primarily on U.S. requirements, with references to FATF guidance and the United Kingdom for context, including the MLRO role as a Senior Management Function regulated by the FCA.
No. Figures such as velocity percentages, review windows, and structuring thresholds are illustrative starting points to tune to your own data and risk assessment. Confirm regulatory thresholds against primary sources.
MLROs, BSA officers, and AML compliance officers who need to translate typology reports into detection scenarios and monitoring rules their team can use, including analysts doing that translation day to day.