What AML auditors actually sample in fintech monitoring
Scenario lists look complete until someone samples dispositions. Here is how we choose alerts that reveal whether monitoring works for your product risks.
Transaction monitoring audits fail when samples chase volume instead of risk. High-alert products can look busy while missing the typologies that matter for remittance corridors, crypto on-ramps, or SME lending. Start from the product risk assessment, not from the vendor’s default scenario catalog.
We typically stratify samples by risk segment, alert age, and decision outcome. Closed-as-false-positive cases deserve as much attention as escalations—because weak false-positive rationale is where supervisors later find shortcuts. Look for copy-paste narratives, missing customer context, and thresholds that never fire for known high-risk patterns.
Tune recommendations should name owners. Compliance cannot change a scenario alone if product owns the payment flow. Write findings so both teams see the same backlog item.
Refresh samples when products change. A new corridor or lending segment without matching scenarios is a design gap, not a tuning issue.