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How Skan AI Enhances Oversight for Anti-Money Laundering Programs

Written by Avinash Misra | Oct 15, 2024 5:08:42 AM

Anti-Money Laundering (AML) compliance is a set of policies, procedures, and technologies that help financial institutions and other businesses prevent money laundering and terrorist financing. The recent penalties against TD Bank by the U.S. Department of the Treasury’s FinCEN highlight the need for strong compliance measures. As banks reassess their AML strategies following TD Bank's penalties, they must integrate innovative solutions, like AI, to meet regulatory requirements and combat financial crimes. This blog explores how organizations can strengthen their AML programs in response to recent developments and the changing compliance landscape.

 

How Skan AI Delivers Real-Time Execution Visibility for Effective AML Programs

At Skan AI, we envision a world where clarity reigns supreme—a clear view from the cockpit that is essential for navigating the complexities of AML compliance. Our innovative Process Intelligence platform acts like a lighthouse, guiding organizations safely to shore while optimizing operational efficiency.

Imagine gaining a panoramic view of your AML ecosystem, where every interaction—from frontline operators to back-office processes—comes into focus. Our platform provides a digital twin of your operations, enabling you to detect inefficiencies and identify opportunities for meaningful change in your workflows.

One key component of compliance with AML regulations involves reporting and monitoring. Our process intelligence platform is uniquely positioned to help you achieve better oversight in several areas of your AML programs. One primary way is to identify process variances in real-time, ensuring compliance officers and operators are following strict procedures for proper reporting and monitoring.

Skan's platform provides:

  • Real-time visibility across the AML ecosystem: Providing a comprehensive view of operators, customer interactions, and back-office processes by observing work activities directly from the operators' desktop devices.

  • Digital twin technology: Allows institutions to visualize their AML workflows in real-time, identifying inefficiencies and bottlenecks.

  • Continuous monitoring and auditing: Ensuring process conformance and compliance through performance metrics and deviation tracking.

  • Customizable dashboards and reporting: Offering the most granular insights available at every organizational level, from front-line staff to executives and regulators for the most in-depth process discovery and analysis.

Skan AI's Role in the Ecosystem

Effective AML compliance requires a holistic approach that encompasses various platforms and applications, including customer due diligence, transaction modeling, and case management.

Skan AI plays a crucial role at this ecosystem's heart by providing real-time execution visibility. By observing your AML solutions and data sources, we offer a unified view of your operations, enabling you to identify risks, optimize processes, and ensure compliance.

Strengthening Your AML Program with Skan AI

The challenges TD Bank faced underscore a hard truth: meeting AML compliance standards requires more than just policies on paper. Financial institutions need seamless visibility across operations, the ability to monitor performance in real-time, and tools to ensure compliance efforts don’t become reactive or fragmented.

This is where Skan AI's Process Intelligence platform truly shines. By bringing your entire AML ecosystem into focus, Skan AI empowers organizations to monitor workflows, track key metrics, and catch inefficiencies before they escalate into regulatory violations. Whether it's managing peer-to-peer transactions or reducing backlogs of suspicious activity, our platform ensures your team stays agile and informed.

Our process intelligence platform integrates seamlessly with your existing systems, ensuring continuous improvement across your AML processes. This combination of visibility, performance monitoring, and automation enables you to meet regulatory requirements head-on—and stay one step ahead of financial crime.

 

TD Bank's Record Penalty: A Cautionary Tale in AML Compliance

In the bustling world of finance, recent headlines have painted a vivid picture of the challenges that a growing number of institutions face. Take TD Bank, the 10th largest bank in the United States. It recently found itself at the center of a cautionary tale after being hit with the largest penalty ever imposed by the U.S. Department of the Treasury’s Financial Crimes Enforcement Network (FinCEN) for serious shortcomings in its Anti-Money Laundering (AML) program. This hefty fine serves as a stark reminder of the importance of strong AML practices—a beacon guiding the entire financial sector to reflect and reassess.

TD Bank pleaded guilty to violations of the Bank Secrecy Act (BSA) and conspiracy to commit money laundering, which enabled criminals to open accounts and transfer money through the bank. TD Bank and its parent company, TD Bank US Holding Company, have agreed to pay more than $3 billion in fines to resolve the charges.

TD Bank’s Anti-Money Laundering (AML) program has faced significant scrutiny from FinCEN and has recently incurred penalties due to its deficiencies, necessitating immediate remediation actions.

  • Program Deficiencies: The investigation revealed that TD Bank’s AML program was not appropriately designed or adequately resourced to mitigate the risks it faced. This included insufficient processing of peer-to-peer transactions and significant backlogs of potentially suspicious activity.

  • Remediation Actions: TD Bank has committed to a comprehensive remediation plan, which includes a four-year independent monitorship to oversee improvements. The bank is prioritizing funding and staffing to address these issues and ensure compliance with AML regulations.

Uncovering the Cracks in the Foundation

The scrutiny of TD Bank's AML program unveiled 5 critical areas of concern:

  1. Inadequate Design and Resources: TD Bank’s AML program was not appropriately designed or adequately resourced to handle the risks the bank faced. This included insufficient staffing and funding to manage the volume of transactions and potential suspicious activities.

  2. Peer-to-Peer Transactions: The processing of peer-to-peer transactions, such as those through Venmo and Zelle, was found to be insufficient. This led to failures in identifying and reporting transactions indicative of human trafficking and other illicit activities.

  3. Backlogs of Suspicious Activity: TD Bank allowed significant backlogs of potentially suspicious activity to persist. As a result, many suspicious transactions were not reported to FinCEN in a timely manner, depriving law enforcement of crucial information.

  4. Lack of Timely Reporting: There were delays in reporting suspicious activities, which is a critical requirement under the Bank Secrecy Act (BSA). This failure hindered authorities' ability to detect and prevent money laundering and other financial crimes.

  5. Compliance Oversight: The AML program's oversight and governance were found to be weak, with insufficient accountability and monitoring to ensure compliance with regulatory requirements.
Incoming CEO Ray Chun told investors on a conference call last week, "We will make the necessary changes to put the bank on a stronger foundation… This is TD's number-one priority and my number-one priority. Make no mistake, we will meet our commitments to our regulators... we will get the job done."

Chun's acknowledgment of TD Bank's shortcomings echoes the concerns of financial institutions grappling with the complexities of AML compliance. The consequences faced by TD Bank highlight the critical need for financial institutions to prioritize robust AML compliance and avoid similar repercussions.

A Wake-Up Call for the Industry

TD Bank’s situation mirrors the struggles faced by many institutions, where departments operate in silos, systems lack cohesion, and processes ultimately remain obscured. This reality creates an urgent need for “real-time execution visibility”—the crucial link that can anchor an effective AML program.

There is an ongoing trade-off between ensuring effectiveness and maintaining a cost-effective program.

This disconnect is not unique to any single institution; it resonates throughout the industry. As financial entities navigate the pressures of profitability and regulatory demands, the need for a comprehensive approach to Anti-Money Laundering (AML) practices becomes increasingly clear.

 

What is Anti-Money Laundering?

Anti-Money Laundering (AML) encompasses the laws, regulations, and standards that financial institutions implement to deter money laundering and other financial crimes. AML programs, mandated by the Bank Secrecy Act (BSA), are crafted to identify and report suspicious activities.

Why are AML Programs So Important in Banking?

Money laundering is a deceptive financial crime that exploits financial systems to hide the profits of illegal activities.

According to Lexis Nexis, there are three stages for money laundering:

  • Placement: Introducing illicit money into the financial system.
  • Layering: Moving the funds through a series of intricate transactions to mask their origin and ownership.
  • Integration: Reintroducing the laundered money into the legitimate economy.

Essentially, money laundering allows criminals to make illegally obtained funds appear as though they come from lawful sources. Banking and financial services companies are the primary target of these illegal activities, hence the intense scrutiny of banking processes and procedures that relate to AML.

 

Ready to see the difference?
Schedule a demo today to discover how Skan AI can elevate your AML program to the next level.