AML (Anti-Money Laundering)

AML (Anti-Money Laundering) is the set of policies, internal controls and processes an organization applies to detect, prevent and report attempts to make money of illicit origin look legitimate. Its goal is to stop the economic system from being used to launder funds from drug trafficking, corruption, smuggling or tax evasion, and also to block terrorist financing (often abbreviated together as AML/CFT).

In practice, an AML program combines customer identification (KYC), ongoing transaction monitoring, a risk assessment of each business relationship and the reporting of suspicious transactions to the relevant authority. In Argentina, that body is the Financial Information Unit (UIF), which regulates obligations under the guidelines of the FATF (Financial Action Task Force, known as GAFI in Spanish).

For obligated entities (banks, fintechs, insurers, notaries, currency exchange houses), AML compliance is part of the critical operations of the business: that is why it is a central topic in Financial Services, where regulatory control and data traceability are conditions for operating.

Why AML matters

Money laundering is the process by which money obtained from illegal activities is integrated into the formal economy with a legitimate appearance. An AML program exists to break that cycle at its three classic stages: placement (getting the cash into the system), layering (moving the funds through transactions that blur their trail) and integration (reinvesting the now "clean" money). For a regulated company, failing at this is not just a reputational risk: it means fines, disqualifications and criminal liability for executives and the compliance officer.

How an AML program works

A solid program relies on a risk-based approach: not every customer is treated the same; instead, controls are assigned in proportion to each one's risk. The usual components are:

• Customer due diligence: identifying and verifying the customer's identity through KYC, with enhanced due diligence for high-risk customers (for example, Politically Exposed Persons).
• Transaction monitoring: rules and models that flag unusual patterns (structured amounts, transactions that do not match the profile, sudden spikes).
• List screening: checking each customer against international sanctions lists and lists of designated persons.
• Suspicious transaction reporting (ROS, its Spanish acronym): formal notice to the UIF when a transaction has no clear economic rationale.
• Training and audit: staff training and periodic independent review of the program.

A concrete example in Argentina

A digital wallet with thousands of sign-ups a day detects that a new account receives ten transfers in amounts just below the reporting threshold and, within hours, consolidates and withdraws them. The monitoring system raises an automatic alert, the case goes to the compliance team for review and, if there is no reasonable explanation, a suspicious transaction report (ROS) is filed with the UIF. Doing this manually would be unworkable at a fintech's volume: that is why modern AML relies heavily on automation and data analytics, integrating credit scoring and behavioral signals.

Common mistakes

• Treating AML as an onboarding formality instead of ongoing monitoring throughout the relationship.
• Generating thousands of alerts without prioritizing, which drowns the team in false positives.
• Keeping customer data in disconnected silos, without a single source of truth that shows the full risk picture.

AML, KYC and CFT: how they differ

These terms are often confused because they work together, but they cover different things.

In short, KYC is a component of the AML program (the front door), while CFT shares tools with AML but targets a different crime. That is why people often talk about an integrated AML/CFT framework supported by good digital onboarding practices.