How Financial Institutions Detect Money Laundering: Examples and AML Strategies
Money laundering allows criminals to make illegally obtained money appear legitimate. It can affect banks, fintechs, payment providers, crypto businesses, and other financial institutions that move or manage funds. So, what is money laundering with example? In simple terms, it is the process of hiding the criminal source of money and making it look like it came from a legal activity. The process is commonly described through three stages: placement, layering, and integration. FATF and UNODC both use these three stages to describe how illicit funds can enter the financial system, become harder to trace, and eventually return to the legitimate economy.
What Is a Money Laundering Example in Financial Services?
Take, for instance, an example of a simple money laundering scheme that can be cited with the involvement of a cash-intensive business. A criminal group makes money off of doing bad things. The group then makes use of a legitimate business to introduce some of those funds into the financial system. The funds may be reported as regular revenue in the business. The money can be transferred from one bank account to another or from one transaction to another. Activity becomes more difficult to trace back to the original source. Eventually, the money can appear to come from a legitimate business or investment. It can then be used for the acquisition of another company or property, or for other business activities. As can be seen from this example, money laundering is a real problem for financial institutions. It may take multiple transactions to get a complete picture. When this customer information, transaction history, and other signals are analysed together, the risk becomes more apparent.
What Are the 3 Stages of Money Laundering?
The 3 stages of money laundering are placement, layering, and integration. They outline the principal method employed to remove the flow of criminal proceeds from the source.
Placement is the first stage; this is the time when illegal money enters the financial system. There are specific challenges attached to large sums of cash, as deposits that are unusual might draw attention.
Layering follows placement; the money is transferred via transactions that are set to complicate the traceability of their origin. This may be across multiple accounts, transfers, assets or jurisdictions.
Integration is the final stage; the money re-enters the main stream of the economy and seems to come from a legal source. It can be invested in, used to purchase property, businesses or assets.
There are no cases in which all these stages occur in the same sequence. Some schemes may be more direct or may include a variety of activities. FATF also recognises that money laundering may take place in a variety of sectors and jurisdictions.
How Can Financial Institutions Detect Money Laundering?
The Stages of money laundering can help to understand why financial institutions cannot rely on a single transaction or alert. While placing a deposit, a bank might come across a strange deposit. These same funds can then be transferred from one account to another or become part of a different pattern during layering at a later time. When the money is available as an investment, the relationship may be more difficult to establish. This is where transaction monitoring comes in. Compliance teams can analyse transaction behaviour with regard to customer information and customers’ expected activities. AML Watcher helps in the process by analysing transactions against historical and current customer data using its transaction monitoring. It has over 150 expert-curated AML typologies, as well as over 10,000 custom monitoring rules that can be made by businesses. This can be useful for banks, fintechs, and payment providers to see beyond specific transactions to broader patterns of activity.
Connecting Money Laundering Detection With AML Technology
When various indicators of money laundering are presented together, detection is more effective. Unusual activity can be detected through transaction monitoring. A restricted individual or entity may be identified through sanctions screening. PEP and adverse media screening can also help to give more information regarding the risk profile of a customer. If these checks are working independently, analysts might have to get data from multiple systems to investigate a case. This may delay reviews and complicate the ability to notice relationships among various risk indicators. AML Watcher integrates sanctions screening, PEP screening, adverse media, watchlist screening and transaction monitoring in a single AML environment. Its platform also offers live notifications of suspicious transactions and high-volume monitoring. The connected approach can provide a more complete picture for financial institutions when evaluating activity that may be associated with money laundering.
Strengthening AML Controls Against Money Laundering
The money laundering example above shows how illicit funds can become harder to identify as they move through different financial activities. For compliance teams, detecting that movement requires more than checking isolated transactions. Banks, fintechs, payment providers, and crypto businesses need systems that can connect transaction behaviour with wider customer risk. FATF’s Recommendations provide the international AML/CFT framework, with the latest version amended in June 2026. AML Watcher helps bring these controls together through transaction monitoring, sanctions screening, PEP screening, adverse media, and watchlist screening. Its transaction monitoring technology combines predefined AML typologies with configurable rules to support different risk environments. For businesses looking to strengthen their approach to money laundering detection, explore AML Watcher to connect transaction monitoring and AML risk intelligence within one compliance environment.
