How to Make the Most of AML Investments

In the past, banks considered investment in anti-money laundering (AML) compliance technology as purely a cost of complying with various regulations to protect them from operational, financial and reputational risks. These investments enabled banks to continue business as usual and avoid the high penalties of non-compliance, the threat of reputational damage and closure of business; there was never any strategic intent to derive additional business benefits. There are, however, opportunities to derive benefits from investment in AML technology, i.e. extending the use of this technology for other purposes as well as effective compliance, thereby enhancing business performance. This article analyses the costs of AML compliance and suggests how banks can derive value from these investments.

The dynamic nature of AML regulation along with a stringent enforcement environment has caused a complete overhaul in the strategy towards investment in tools and technologies to counter money laundering. The focus of the regulations has changed from mere monitoring of transactions to detecting suspicious customer activity indicating money laundering, which requires banks to adopt an enterprise-wide approach to tackle money laundering rather than a piecemeal approach to compliance. With increased technology spend on compliance related issues, to the extent that banks may find themselves unable to function, it is essential that banks derive full value from their investments in AML technology.

Cost of Complying with AML regulations

AML related spending has increased significantly since the 9/11 events in the US and banks have established financial and human resources to get their AML programs in place. In the next few years, increased information technology requirements and human resource costs for compliance and risk management initiatives and training will increase the momentum of spending.

A report on technology spends by independent market analyst, Datamonitor, shows that compliance and risk management projects are going to be the major drivers of investment in analytics and business intelligence software by financial services institutions (FSIs). Datamonitor predicts that investment by European FSIs in business intelligence and analytics will hit $4.8bn by 2006 out of which, for compliance and risk management combined, investment will amount to $1.7bn in 2006. The report splits business intelligence and analytics solutions into six solution areas: customer intelligence, risk management, fraud, performance management, financial analysis and compliance.

Fuelled by AML and Basel II initiatives, Datamonitor says that compliance and risk management solutions in particular will experience the strongest growth in terms of FSI investments. The report predicts that, while overall European FSI spends on business intelligence and analytics will grow at a compound annual growth rate (CAGR) of almost 7 per cent between 2002 and 2006, the combined FSI spend on compliance and risk management solutions are predicted to grow at a CAGR of 9.5 per cent between 2002 and 2006, showing the fastest growth of all solution areas.

Besides information technology expenditure on analytics and business intelligence software to monitor and detect suspicious money laundering transactions, banks face several other costs when putting in an effective AML readiness program in place:

  • Costs related to integration of several transaction systems, databases and legacy systems into a common IT infrastructure to ensure that the AML solutions are able to cross reference all the required data for detecting and monitoring suspicious transactions.
  • Capital charges on account of reserves for regulatory fines and reputational damage in the event of money laundering violations.
  • Regulatory fines levied on account of non-compliance with regulations.
  • Human resources cost in terms of additional people and training them on KYC and AML related issues.
  • Enhanced due diligence for new and existing customers.
  • Proactive transaction monitoring to detect suspicious activity.
  • Suspicious activity reporting to regulatory bodies as well as time spent on assisting investigations related to money laundering violations.

The table below provides a list of banks fined over the past four years by regulatory authorities, on account and KYC and AML violations.

Date Institution Regulatory Violation Fine/Penatly
August 2005 Arab Bank, New York branch Bank Secrecy Act failures US$24m civil penalty
February 2005 City National Bank Bank Secrecy Act and other money laundering law violations. US$750,000 fine
January 2005 Riggs Bank Failure in reporting suspicious activity US$41m fine
December 2004 Anchorbank Madison, Wisconsin Filing suspicious activity reports (SARs) and currency transaction reports (CTRs) late. Failure to implement a customer identification program. US$100,000 civil fine
October 2004 AmSouth Bank Birmingham, Alabama AML program had deficient internal controls, staff lacked sufficient training, and the independent audits were inadequate. It also had numerous reporting violations and was ‘willfully blind’ to its lack of internal controls. US$10m civil money penalty, US$40m civil forfeiture and deferred prosecution
September 2004 Citibank, N.A. Japan Lax control over money laundering, contraventions of the Securities and Exchange Law. Licences withdrawn for four offices engaged in private banking
September 2004 Bank of Ireland Failure to comply with money laundering rules, failure to have adequate systems and controls in place to detect a series high risk cash transactions and lack of employee understanding of AML responsibilities. US$672,000 fine
May 2004 Riggs Bank Violations of AML laws. US$25m civil penalty
March 2004 Hudson United Bank Inadequate AML compliance program. US$5m fine
January 2004 Bank of Scotland Failure to keep proper customer identification. GBP£1.25m fine
December 2003 Abbey National Bank Inadequate money laundering controls. US$3.5m fine
August 2003 Northern Bank ( Northern Ireland-based unit of National Australia Bank) Failed to comply with regulations that compel banks to take steps to identify customers. GBP£1.25m
August 2003 Western Union Inadequate money laundering control procedures and failure to file CTRs. US$5m fine
March 2003 Western Union Failure to file CTRs. US$3m fine
January 2003 Banco Popular de Puerto Rico Failure to file SARs. US$21.6 forfeiture and deferred prosecution
December 2002 Broadway National Bank, of New York Failure to file SARs and failure to maintain an AML program. US$4m fine
December 2002 Western Union Inadequate compliance program and failure to file SARs and CTRs. US$8m fine

The chart below gives an estimate of the amounts being spent by US financial institutions on different components of AML programs in 2005.

Spending on AML programs at US Financial Institutions
(Total through 2005 = US$10.9bn)


Source: Celent Communications

Deriving Value from AML Solutions

Though the primary objective of AML related-investments has been to comply with the regulatory risks in order to protect the bank against financial, operational, legal and reputational risks, banks can leverage investments in AML solutions to derive business value extending beyond regulatory compliance. In the past, AML solutions were specific to meeting the immediate regulatory requirements and consisted of monitoring and alert-generation tools implemented in the high-risk areas of the bank, and as such were not expensive. This was a time when banks considered compliance as a cost centre, requiring investments only in basic technology to meet the regulatory requirements. They were not scalable and adaptable to the changing regulatory environment and over time required banks to make more investments in this area to constantly upgrade the AML technological capabilities.

The AML products which are now gaining popularity come at a higher price as the basic requirement currently is the need to provide transaction monitoring tools that are able to detect potentially suspicious activity indicating money laundering and terrorist financing. The technologies used in these solutions provide banks with opportunities to derive quantifiable value beyond basic regulatory compliance.

Banks can derive business value from AML solutions in the following ways:

  • Risk-based enterprise-wide approach
    Regulatory compliance and protecting the bank against financial and reputational risks are the basic drivers for AML solutions, so banks should direct investments to comply more effectively and to reduce the risks faced. This can be done by integrating the technology implementations with business requirements and making investments that are aligned to the risks of the business. It is important that any investment in AML solutions involves the coordinated efforts of both IT and business departments. The solutions need to be able to attack the problem of money laundering from all angles, i.e. not only monitor suspicious transactions but also proactively detect transactions indicative of money laundering.
  • An enterprise-wide comprehensive approach, with a solution capable of detecting money laundering interfacing with a centralized middleware through which all transactions flow, can help banks in tackling money laundering more effectively. Such a solution will give a holistic view of customer transaction activity and the potential risks faced as compared to focused investments in several businesses across the enterprise. Investments in separate silos would mean not only higher ongoing costs related to software, hardware, human resources, training and administration but it can also hide the existing cross pollination benefits.
  • Tackling fraud and financial crime
    A primary factor that banks need to consider while investing in AML related solutions is whether it is possible to extend the benefits to tackling fraud and financial crimes not specifically related to money laundering. The solutions available today are adaptable to the changing regulatory and enforcement requirements that are forcing banks to take up greater responsibility for all customer transactions. These solutions have business analytics and activity reporting capabilities as well as the ability to manage and store data. They also have the ability to detect revealing patterns, identify behavioral changes and generate alerts for further investigations. Based on these capabilities banks can build up customer profiles and identify the high risk customers not only for money laundering but also for fraud detection. Customer profiling, data mining and pattern detection are an important requirement for detecting fraud and other financial crimes, centralized and enterprise-wide AML solutions with the ability to monitor all transactions and pull data from all applications can benefit banks in related investigations.
  • Supporting customer relationship management
    In the current regulatory environment, banks are required to monitor each and every customer transaction by pulling together data from all applications supporting customer transactions. The voluminous transaction data analyzed by the new-generation AML solutions provide banks with opportunities to move out of the AML core and extend usage to not only other compliance related areas and fraud and risk management but also customer relationship management and marketing activities. It is common knowledge that money laundering monitoring and detection requires applications to have high levels of business intelligence, transaction pattern monitoring and a high quality of data analysis. The argument therefore is that if banks are building up capabilities through AML solutions that monitor each and every transaction and can possibly understand customer transaction behavioral patterns, then it makes perfect business sense to extend the usage to more than just money laundering detection.

    Customer relationship management (CRM) requires aggregation and reporting of customer transaction data in a manner that is possible to ascertain the customer behavior, preferences and transaction patterns. It requires an up-to-date and real-time analysis of the vast amounts of customer transaction data that is flowing through various applications in the bank. An enterprise-wide AML solution with the ability to pull data from all systems and applications would mean that it is closely integrated with all the channels and data points through which customer transactions flow in the bank. This kind of solution will have the ability to analyze customer transaction and profile data and then extract, store and aggregate data to understand customer behavior, thereby enabling banks to use this for CRM constituents such as customer profitability analysis, data mining and marketing.

    The ultimate objective of any CRM initiative is to have a single view of all customer activity so that the bank can understand customer’s business habits and preferences and enrich customer analysis therefore enabling them to serve them better. The new-generation AML solutions with their advanced data management capabilities can help banks in realizing this aim, thus enabling banks to derive business value from regulatory prompted investments.

Conclusion

Investing in an AML solution is no longer a simple cost consideration and banks need to consider the flexibility and adaptability to changing regulatory requirements as well as deriving business value in the form of better and comprehensive regulatory compliance and improved customer relationships.

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