Structured Payments Data Strengthens AML Compliance

The global financial ecosystem is undergoing rapid transformation with digital banking platforms, real-time payment tools, and innovation in the fintech market. Instant payments can move funds in seconds, reducing the time for financial institutions to predict any suspicious activities. Also, criminals are becoming increasingly aware of fragmented payment data and the inconsistent transaction records and using it to obtain financial information. Payments were always contained in limited structures about transactions with only details about senders, recipients, and payment reasons often embedded in unstructured text files that would make it difficult for automated monitoring systems to analyse this data effectively. This shift from traditional systems to structured payments data is particularly important through standards such as ISO 20022 addressing the limitation by enabling detailed and standardized transaction values. This is strengthened by AML compliance solutions allowing financial institutions to identify suspicious activities more accurately and respond to financial crime risks effectively.

Traditional payment methods were designed a decade ago, when problems associated with the transactions were different, and also transactions were lower as compared to now. Legacy systems often rely on limited data fields, many containing free-text descriptions that vary widely from institute to institute. This creates several challenges for AML monitoring systems.

Unstructured payment methods make it difficult to monitor systems to identify the nature of transactions. Important details such as payment purpose, beneficiary relationships or intermediary accounts get missed or are inconsistent.

Because monitoring systems cannot accurately interpret unbiased information, they often generate large numbers of alerts which turn out to be false positives. Compliance teams must then manually investigate these alerts, creating room for human error.

Money laundering schemes frequently involve multiple transactions across different jurisdictions. When transactions lack structure or standardization, tracing these payment flows becomes significant and difficult.

Structured payment data refers to transactions that are organized according to standard formats, allowing it to be easily integrated into automated systems. Unlike traditional text files. structured data is assigned a specific attribute to key elements, such as: - Sender and beneficiary details - Payment purpose codes - Transaction references - Intermediary financial institutions - Geographic indicators These standard structures enable financial institutions to capture more granular information about each transaction. One of the most significant developments is the global transition to ISO 20022, a messaging standard that supports richer payment information. ISO 20022 enables financial institutions to include hundreds of data fields within a single transaction providing a far greater visibility into parties and purposes involved in a payment transaction. This becomes critical for strengthening AML compliance solutions.

The integration of structured data into payment provides several key advantages for AML compliance programs:

Structured data provides a clear picture of the parties involved in the transaction including detailed information about senders, recipients, and intermediary institutions. This transparency is necessary for easy identifying suspicious transactions. For example, AML monitoring systems can detect transactions involving high-risk jurisdictions with greater accuracy when structured data is available.

Advanced analytics and machine learning models rely heavily on data quality, while transaction data is structured, monitoring systems are able to analyze patterns across millions of transactions effectively. Structured payments data allows AML systems to identify anomalies such as: - Unusual transaction frequencies - Atypical payment destinations - suspicious transactions - Irregular transaction amounts This enhanced capability enables financial institutions to detect potential financial crime in the transaction cycle.

False positives are one of the most significant challenges in AML compliance, with investigating unnecessary alerts consumers and can delay identification of genuine financial crime threats. Structured payments improve alert accuracy and monitoring systems use this information to differentiate legitimate transactions from suspicious ones.

Money laundering operations often exploit these regulatory frameworks across jurisdictions. Structured payments data helps with cross-border transactions while also ensuring consistent information is transmitted between institutions.

The global adoption of ISO 20022 is one of the most significant developments shaping the future of payments data. Traditional legacy systems, ISO 20022 enables a much better data environment that supports improved monitoring. For example, ISO 20022 allows financial institutions to include detailed structured information into transactions purpose, payment participants and related references. This strengthens AML compliance solutions by enabling more accurate monitoring and investigation of payment activities. As adoption continues, structured payments will become essential for modern financial institutions to prevent crime prevention strategies. At TEI, we provide research-driven thought leadership that helps CXOs and financial leaders understand how structured payment reshape financial systems. How is your organization preparing for the transition toward structured payments data?