AML / Sanctions Compliance
Illustrative scenario

When NY DFS Questions Your AML Alert Rates: Getting Chainalysis Tuning Right

A supervisory letter from NY DFS questioning alert rates lands differently than a routine exam finding — it signals that the regulator has already formed a view and wants documentation of how you're going to address it. For a licensed cryptocurrency exchange whose Chainalysis configuration generates 2,400 alerts per month against a team that can investigate 600 within the 30-day SAR window, the math is the problem. The CCO needs a defensible tuning proposal and a regulatory response that doesn't read like it was drafted over a weekend.

Up and running in ~8 wkFor: Chief Compliance Officer
Estimate your payback
~4 mo
Payback period
$98K
Est. savings / year
+$68K
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

Why Alert Volume Is a Compliance Liability, Not Just an Efficiency Problem

FinCEN's SAR filing guidance and the NY DFS BitLicense framework both assume that a licensed exchange has the operational capacity to investigate alerts within the required window. When alert volume structurally exceeds investigation capacity — as it does when 2,400 alerts arrive monthly against a team resourced for 600 — the compliance program has a documented gap. NY DFS supervisory letters are the regulator's way of making that gap official before it becomes an enforcement matter. The response requires two things: analysis showing where the over-alerting is coming from (which typologies, which thresholds are triggering false positives), and a threshold-tuning proposal that is defensible under FinCEN's standards for risk-based AML programs.

Analyzing Disposition History and Building the Tuning Proposal

An AI Labor Company agent connects to your alert disposition history in NICE Actimize and your Chainalysis configuration data, then analyzes the gap between alert generation and SAR filing rates by typology category. The analysis identifies which alert categories have high false-positive rates — the typologies where disposition consistently results in no SAR, suggesting threshold miscalibration — and distinguishes those from categories with genuine investigative value. From that analysis, the agent produces a threshold-tuning proposal with supporting false-positive rate data, structured for NY DFS review, and generates the regulatory response to the supervisory letter. iManage and NetDocuments manage the documentation workflow. The output goes to your compliance team for review before any submission.

The Business Case: Avoiding Enforcement While Right-Sizing Operations

A NY DFS enforcement action against a BitLicense holder can result in fines, consent orders, and operational restrictions that affect the exchange's market position directly. The cost of AML operations at this alert volume — investigations that cannot be completed within the SAR window — is also a direct compliance cost that doesn't produce better outcomes. An agent-driven approach to alert analysis and tuning can reduce AML operational overhead by 55–75%, while simultaneously producing the NY DFS-defensible documentation the regulator is asking for. The agent is live and producing an initial alert disposition analysis in approximately eight weeks — which is relevant when a regulatory response timeline is running.

Works with
ChainalysisNICE ActimizeiManageNetDocuments
Questions

Will reducing alert thresholds create BSA/AML compliance risk by causing the exchange to miss suspicious activity?

The tuning proposal is built on false-positive analysis — it identifies where current thresholds are generating noise, not where they are catching real suspicious activity. The documentation produced is designed to be defensible to FinCEN's risk-based program standard.

Does the agent draft the actual SAR narratives, or just the threshold tuning proposal?

The agent's scope in this engagement is alert tuning analysis, threshold-tuning documentation, and the regulatory response to NY DFS. SAR narrative drafting is a separate workflow.

Related use cases

Illustrative scenario for legal & compliance. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

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