A New Direction for AML Compliance
The Office of the Comptroller of the Currency (OCC) has introduced a proposed update to its Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT) requirements—and it represents a meaningful shift for banks and credit unions.
Historically, AML compliance has focused on ensuring that institutions maintain the required program components: policies, procedures, controls, and documentation.
The new OCC AML proposal changes that emphasis.
Instead of evaluating whether a program exists, regulators are increasingly focused on whether it is effective. For financial institutions, this marks a transition from check the box AML compliance to outcome based AML effectiveness.
What the OCC AML Proposal Requires
Under the proposed rule, banks and credit unions will be expected to demonstrate stronger, more dynamic AML capabilities.
Key expectations include:
- Continuous customer risk assessment, not just onboarding reviews
- Risk-based AML monitoring focused on higher risk activity
- Transaction level analysis to identify suspicious behavior
- Ongoing evaluation of AML program effectiveness
This shift aligns with broader regulatory trends emphasizing risk-based AML compliance and real-world detection capability.
Why AML Programs May Struggle to Keep Up
While most institutions already have AML programs in place, the OCC’s new direction introduces challenges at the operational level.
The issue isn’t typically policy—it’s data.
Many banks and credit unions still face:
- Inconsistent transaction descriptions across channels
- Limited visibility into counterparties and merchants
- Fragmented data across systems
- Difficulty performing behavioral analysis over time
These gaps make it difficult to support AML monitoring, customer risk scoring, and transaction analysis at the level regulators now expect.
As a result, even well designed AML compliance programs can fall short when it comes to execution.
The Role of Transaction Data in AML Effectiveness
One of the most important takeaways from the OCC AML rule update is this:
AML effectiveness depends on data quality.
To meet new expectations, institutions need a strong transaction data foundation that supports:
Standardized Transaction Data
Consistent formatting across ACH, card, and other payment channels
Transaction Categorization
Clear classification of activity to support AML risk monitoring
Counterparty Identification
Better visibility into who is behind each transaction
Behavioral Analysis
The ability to track and analyze customer activity over time
Real-Time or Near Real-Time Data Access
Operational data that supports active AML monitoring—not just reporting
Without these capabilities, it becomes difficult to implement risk based AML programs or demonstrate effectiveness to regulators.
AML Modernization: A Data Driven Approach
As AML compliance evolves, financial institutions are increasingly investing in data driven AML solutions.
This includes:
- Transaction data normalization and standardization
- Consistent categorization of financial activity
- Enhanced merchant and counterparty intelligence
- Structured data pipelines for AML monitoring systems
These capabilities allow institutions to move from manual, fragmented processes to automated, scalable AML monitoring.
More importantly, they enable the kind of continuous risk assessment that the OCC proposal emphasizes.
How IFM Supports AML Compliance and Risk Monitoring
IFM helps banks and credit unions strengthen their AML programs by improving the quality, structure, and usability of transaction data.
Key capabilities include:
Transaction Data Normalization
Standardizing raw transaction data across multiple sources and formats
Transaction Categorization at Scale
Organizing financial activity into consistent categories for analysis
Counterparty and Merchant Enrichment
Improving visibility into transaction participants
Behavioral Data Enablement
Supporting longitudinal analysis for customer risk monitoring
Near Real-Time Data Delivery
Providing actionable data for AML monitoring systems and decision making
By addressing the underlying data layer, IFM enables institutions to better support:
- AML risk monitoring
- Customer risk assessment
- Suspicious activity detection
- Regulatory compliance with OCC AML expectations
Turning Insight Into Growth
The OCC AML proposal reflects a broader industry shift toward effectiveness, transparency, and data driven decision making.
For banks and credit unions, the implications are clear:
- AML programs must move beyond static compliance
- Data quality and structure are now critical success factors
- Transaction level insight is essential for risk management
Institutions that invest in strengthening their transaction data infrastructure will be better positioned to meet evolving regulatory requirements and improve overall risk detection.
Final Thoughts
The OCC’s proposed AML rule update is not just another regulatory change. It’s a signal of where AML compliance is heading.
From documentation to outcomes.
From static reviews to continuous monitoring.
From fragmented data to structured insight.
At the center of this transformation is one key capability: the ability to understand transaction data clearly and consistently.
Learn More
The path forward doesn’t require complex, multi-year transformation efforts. IFM delivers a ready to deploy solution that is easy to implement and built for real-world execution. With a strong transaction data foundation in place, institutions can move quickly from strategy to action; Operationalizing AML programs that are not only compliant, but demonstrably effective.
To learn how IFM supports AML compliance, transaction data normalization, and risk monitoring, visit our website at https://www.infimark.com, schedule a quick consultation, or learn more about our new product, CashFlow Analytics SuiteTM
