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This use case has been integrated into a broader process-oriented guide.
Visit Structuring AML Investigations & Reporting for updated guidance on investigations, SAR writing, and escalation workflows.
Let's imagine a situation, where a compliance analyst at the Bank, notices a sudden rise in small-value transfers funneling into a newly opened account. Unsure if these fragmented deposits indicate legitimate business transactions or potential layering attempts, specialist consults the AMLTRIX knowledge base.
Initial Detection (Data Sources)
- Action: a specialist reviews transaction logs, a data source in the AMLTRIX knowledge graph, and notices multiple small-value deposits into a newly opened account. By systematically monitoring relevant data sources the institution has a chance to intervene before losses or risks escalate.
Contextualizing “Why” (Tactics)
- Action: a specialist references the “Tactics” layer in AMLTRIX to understand the potential motives or high-level goals that might explain these small-value transfers (such as evading detection thresholds). Identifying the broader “why” helps frame the activity in a larger context—focusing investigations on the intent behind the transactions rather than random anomalies.
Pinpointing “How” (Techniques)
- Action: a specialist matches the observed deposit pattern with a known technique in the knowledge graph—“structuring,” which involves breaking large sums into smaller increments. Recognizing specific “how” actions enables precise classification of the suspicious behavior, ensuring that investigative steps align with the likely laundering method.
Red Flag Confirmation (Indicators)
- Action: a specialist cross-references the knowledge graph’s indicators set—such as sudden account openings followed by frequent small deposits—to confirm that the pattern fits known money laundering signals. Formalizing Indicators streamlines alert prioritization, enabling timely focus on activities most likely to involve criminal intent.
Recommending Countermeasures (Mitigations)
- Action: Based on known structuring techniques, a specialist then looks up recommended Mitigations—such as stricter threshold checks, additional identity verification, or tighter monitoring for newly opened accounts. The knowledge graph directly links specific Techniques to proven Mitigations, allowing financial institutions to quickly adapt controls and disrupt criminal activity effectively.
Identifying Relevant Services
- Action: Lastly, a specialist reviews “Services” in AMLTRIX to see if the account type is particularly susceptible to structuring activities (e.g., certain types of current accounts or e-wallets). Understanding which product lines are being misused helps tailor compliance measures, improve product design, and train front-line teams to spot suspicious behavior more effectively.
Escalation and Reporting
- Action: Armed with these insights, a compliance specialist prepares a detailed report for the financial crime team and escalates the alert through the bank’s established channels. A cohesive narrative ensures swift, well-informed decision-making and lays the groundwork for consistent investigative practices across the institution.
By using components in the AMLTRIX — Tactics, Techniques, Indicators, Mitigations, Data Sources, Risks, and Services—investigations become more structured, leading to faster detection, improved accuracy, and defenses against ongoing money laundering threats.