What Changed
Payments now operate without human intervention. Software initiates transactions based on pre-set conditions, such as subscription renewals or inventory restocks. These programmatic payments run continuously, much like a stock market order that executes when conditions are met.
The compliance challenge is clear: your monitoring systems must evaluate transactions in real time, not just during business hours. According to Chris Ostrowski, Head of Product Management at FinScan, monitoring needs to be continuous, assessing transactions as they occur without waiting for human review.
Key Findings
Machine behavior differs from human patterns. Your existing transaction monitoring rules are likely based on human decision-making. Programmatic systems follow a different logic. For example, an automated inventory system might make multiple small payments to suppliers in minutes, potentially triggering alerts if your rules assume human intent to evade reporting thresholds. You'll need new baselines to define normal behavior when software controls transactions.
Data quality is crucial for automated decisions. Kieran Holland, Global Head of Solutions Engineering at FinScan, highlights that failures in corporate AI often stem from poor input data. In compliance, automated decisions rely on accurate data, names, addresses, ownership records. Without complete and current data, programmatic payments inherit these flaws.
Screening must match business process speed. Customer Due Diligence and name screening can't be separate, delayed steps when payments are automatic. Screening must operate at the speed of the business process. If your workflow relies on manual management or overnight batch processing, you're introducing delays incompatible with programmatic systems.
Controls need redesign for automated oversight. Most AML/CFT frameworks assume human review before transactions. Programmatic payments reverse this. Systems evaluate conditions and execute transactions, often without human input. Your controls must shift to validating system behavior, requiring new evidence, testing, and documentation for examiners.
What This Means for Your Team
You're managing two compliance environments: traditional payments with human review and automated flows where software makes decisions based on pre-configured rules.
The automated environment presents new risks. A programmatic system won't pause for overnight sanctions list updates or recognize a legitimate business event as distinct from suspicious activity unless explicitly programmed to do so.
Examiners will question how you ensure automated systems comply with BSA requirements, OFAC screening obligations, and Customer Due Diligence standards without human oversight. Simply having monitoring rules isn't enough if they're outdated.
Action Items by Priority
1. Audit your data quality. Assess the completeness and accuracy of your data, legal names, addresses, ownership records, and risk ratings. Identify high-error fields or missing values. Verify third-party data refresh rates and coverage. Poor data quality can lead to system-wide failures when software makes decisions.
2. Map current programmatic payment types. Document all automated payment flows: subscription billing, supplier payments, payroll, and recurring vendor payments. Identify decision logic, data sources, and controls for each flow. This inventory is essential for assessing regulatory compliance.
3. Redesign monitoring rules for machine patterns. Collaborate with your payments operations team to review transaction monitoring rules. Define what normal looks like when software controls timing and frequency. Develop scenarios that differentiate between legitimate automation and evasion tactics.
4. Implement continuous screening for changes. Move from batch screening to event-driven checks. When a sanctions list updates, re-screen active counterparties immediately. Adjust programmatic payment limits automatically when a customer's risk rating changes. Integrate screening directly into payment workflows.
5. Build oversight capacity proactively. As Ostrowski advises, hire or train staff to oversee performance and provide direction as the program grows. They should understand both the business logic of automated payments and the compliance obligations. Ensure they have access to system logs, decision trails, and performance metrics to demonstrate effective controls.
