Next-gen AML for payment service providers (PSPs): What you need to know

Although the payments sector is widely seen as having outpaced traditional banking by pioneering real-time AI and behavioral data for risk mitigation approaches, payment service providers (PSPs) continue to face a unique set of challenges. PSPs are not just moving money; they’re managing a complex, interconnected web of merchant relationships under intense global regulatory scrutiny.

With Deloitte’s Center for Financial Services predicting that generative AI could drive fraud losses to US$40 billion in the United States by 2027, the stakes have shifted. To maintain a competitive edge in a saturated market, PSPs should transition from reactive checkbox compliance to a proactive, next-gen AML framework.

What are the most common AML challenges for PSPs?

While a bank monitors individual account holders, a PSP monitors merchants who may process thousands of sub-transactions, providing a convenient veil for transaction laundering.

The “false positive paradox”

The industry is currently overwhelmed by legacy friction. Traditional rule-based systems often fail to distinguish between a high-growth merchant and a money launderer, leading to the “false positive paradox.” These systems flag legitimate transactions, causing delays that frustrate merchants and bury compliance teams in manual remediation.

The root of this friction is a data problem. Most legacy systems look at information in isolation – a name on a list, a single transaction, or a geographic location – without understanding how these pieces connect. When a system lacks context, it defaults to caution, triggering an alert for anything that looks even remotely unusual. This “guilty until proven innocent” approach is what creates the backlog.

To break this cycle, the industry is moving toward a more relational approach to risk. By connecting thousands of data points in real time to identify relationships between entities, firms can filter out obvious noise before it ever reaches a human analyst. This creates a cleaner foundation for the next stage of the evolution: explainability.

What are the most common suspicious activity indicators for PSPs?

• Unusual velocity: A sudden spike in transaction frequency or volume that does not align with a merchant’s established profile.
• Structuring (smurfing): Multiple small payments just below reporting thresholds (e.g., $10,000) designed to evade detection.
• High-risk jurisdictions: Transfers involving grey-list countries or those under heavy sanctions (e.g., Iran, North Korea).
• Merchant mismatch: A merchant registered as a bookstore is suddenly processing high-value electronics transactions.
• PEP & sanctions hits: Transactions involving PEPs or entities on international watchlists.

Which AML regulations govern the payments sector?

How should PSPs build a robust AML framework?

To stay resilient in a high-speed regulatory environment, a PSP’s compliance journey should follow a structured, automated lifecycle that captures risk before it enters the ecosystem – in a few steps:

1. Adopt a seamless merchant onboarding and know your business (KYB) approach

PSPs should automate their verification processes to identify ultimate beneficial owners (UBOs) and assess business legitimacy in real time. This ensures compliance with customer due diligence (CDD) requirements without creating friction during merchant acquisition.

2. Custom dynamic risk scoring

Establishing a multi-dimensional risk profile at onboarding to facilitate future monitoring enables firms to shift from checkbox compliance to a risk-based approach (RBA) tailored to specific financial crime threats.

3. Proactively monitor transactions and screen customers

PSPs should move beyond basic checks by implementing near-real-time systems to catch suspicious activity, such as card testing, within seconds and maintain ongoing checks against sanctions, politically exposed person (PEP) lists, and adverse media. In an era of 10-second payment windows, automated, real-time screening is essential to ensure no prohibited entities remain in your network.

By unifying these steps on a single platform like Mesh, PSPs can eliminate the double-integration tax and fragmented data silos. This creates a feedback loop where screening informs monitoring, and monitoring refines screening, building a framework that is not just compliant but commercially competitive.

How different is AML compliance for payment processors?

While PSPs manage the merchant relationship, payment processors provide the infrastructure. For processors, the AML focus shifts toward infrastructure-level security:

• Systemic risk monitoring: Analyzing massive technical flows for patterns that span across multiple platforms.
• High-speed integration: Connecting via API to provide enhanced AML capabilities to your own PSP clients without adding latency.
• Infrastructure scaling: Built for millions of transactions per second (TPS) to ensure compliance never becomes a technical bottleneck.

Why is AI-powered monitoring the effective path for PSPs?

Because traditional rule-based systems are too rigid for modern payments, AI-augmented monitoring empowers PSPs to shift from reactive alert management to proactive risk strategy through:

• Intelligent automation: The system learns from your team’s actions. When a pattern is repeatedly cleared as safe, the AI adapts to stop flagging it, reducing false positives and allowing your experts to focus on complex threats.
• A unified view of risk: Historically, fraud and AML teams worked in silos. Modern AI breaks down these barriers by identifying holistic risk. For example, it can detect a single “mule account” being used for both fraud scams and money laundering, providing a more complete picture of criminal activity.
• Defensible explainability: For regulated PSPs, “the model said so” is never an acceptable answer to a regulator. AI-native transaction monitoring solutions can provide a glass box approach where every decision, whether made by a human or an agent, is recorded in an immutable audit log with full reasoning, ensuring end-to-end defensibility.

How an AI-native compliance program helps create a business advantage

In the PSP landscape, real-time risk monitoring is a financial necessity, not just a regulatory hurdle. Unlike traditional banks, PSPs operate on high-velocity, low-margin rails that are uniquely targeted by “bust-out” schemes. In these scenarios, a fraudulent merchant processes a massive volume of transactions in a very short window and disappears before the funds can be recovered, leaving the PSP legally and financially liable for the resulting chargebacks.

The link between AI-native compliance and bust-out prevention is speed. Because a bust-out happens in hours, not weeks, waiting for a human analyst to review a flagged account is often too late. An AI-native approach solves this by moving beyond rigid rules to detect behavioral anomalies in milliseconds.

The business advantage here is twofold:

• Financial protection: AI identifies the specific signature of a bust-out (e.g., sudden spikes in volume or mismatched geolocations) and freezes the funds before the merchant can liquidate.
• Operational scale: By drastically reducing false positives (the noise of legitimate high-volume merchants), AI ensures that analysts aren’t wasting time on safe customers while a real bust-out is happening in the background. This allows PSPs to scale transaction volumes exponentially without needing to hire an army of manual reviewers. 

“[ComplyAdvantage] has allowed us to absorb increased transaction volumes without requiring a proportional increase in headcount to conduct screening. Our analysts can focus on genuine risk rather than managing noise, which is precisely the outcome we were aiming for.”

Paula Vitan, Compliance Manager at HitPay

The transition to next-gen AML has turned into a strategic business pivot. By adopting intelligent programs, firms can protect their revenue and deliver a frictionless experience for legitimate merchants. 

AI-powered solutions like ComplyAdvantage Mesh provide PSPs with real-time risk intelligence updates within a minute, eliminating the latency concerns often associated with legacy compliance systems. By using the platform, PSPs can process millions of transactions with confidence, knowing each one is screened against the most current data available. With a fully auditable, AI-driven decisioning process, PSPs benefit from an advanced compliance solution that is as fast and reliable as their core processing services.