This analysis reveals how fintech advancements shape AML outcomes, suggesting digital solutions can enhance compliance.
This paper examines how contemporary FinTech architectures shape anti–money laundering (AML) outcomes. We focus on three practice shifts: (i) the growing use of stablecoins on low-fee rails during layering, (ii) cross-chain composability that shortens interdiction windows and exposes Travel Rule gaps, and (iii) uneven financial-crime controls at high-growth FinTechs relative to incumbents. We analyze public evidence from 2020 to 2025—enforcement orders, supervisory reviews, and industry analytics—using a structured coding template and cross-validating against primary sources. We then translate the patterns into operational metrics that can be monitored by issuers, virtual-asset service providers, and supervisors, including time-to-freeze, unfreeze error rate, Travel Rule match rate across counterparties, and case conversion rates from off-chain alerts to on-chain actions, with targets ranging from 12 to 24 months. Limitations: the design is descriptive and relies on public sources; it does not estimate the global prevalence of illicit flows nor identify causal effects. As a calibration point, the 2023 U.S. enforcement against Binance culminated in a $4.3 billion resolution and multi-year compliance monitorship, establishing concrete baselines for expected controls (Justice, 2023). Overall, the paper offers a portable KPI framework that moves the AML debate from labels to measurable performance, and outlines a minimal reporting template and SupTech dashboard to track progress over time.
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Anas Al Qudah (2025) studied this question.
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