List of SAS Anti-Money Laundering Customers
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Since 2010, our global team of researchers has been studying SAS Anti-Money Laundering customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAS Anti-Money Laundering for AML, Fraud and Compliance from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAS Anti-Money Laundering for AML, Fraud and Compliance include: Bank of America, a United States based Banking and Financial Services organisation with 213000 employees and revenues of $101.89 billion, CommBank, a Australia based Banking and Financial Services organisation with 48580 employees and revenues of $18.66 billion, Bangkok Bank, a Thailand based Banking and Financial Services organisation with 22642 employees and revenues of $5.12 billion and many others.
Contact us if you need a completed and verified list of companies using SAS Anti-Money Laundering, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The SAS Anti-Money Laundering customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Bangkok Bank | Banking and Financial Services | 22642 | $5.1B | Thailand | SAS Institute | SAS Anti-Money Laundering | AML, Fraud and Compliance | 2021 | n/a |
In 2021, Bangkok Bank deployed SAS Anti-Money Laundering as a global AML standard across 14 economies to consolidate AML processes and enable score-based customer risk rating for transaction monitoring. The deployment established a unified AML platform supporting the bank's finance and compliance functions across APAC and global operational coverage.
Implementation emphasized the perpetual KYC and case management modules of SAS Anti-Money Laundering as described in the vendor announcement, with configuration to support score-based customer risk rating and transaction monitoring workflows. Standardized case investigation workflow was configured to centralize alert triage and investigator assignment, improving investigator productivity and reducing case resolution times.
Operational scope encompassed finance and compliance teams across the 14 economies, aligning investigative workflows and risk-scoring processes for cross-border monitoring and compliance reporting. No specific third-party integrations were disclosed in the source announcement, the implementation narrative focuses on internal consolidation and standardized operational processes.
Governance changes included centralized case management procedures and standardized investigator workflows to support consistent case handling across jurisdictions. Outcomes reported in the vendor announcement include improved investigator productivity and reduced case resolution times, reflecting operational benefits within Bangkok Bank's AML, Fraud and Compliance program.
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Bank of America | Banking and Financial Services | 213000 | $101.9B | United States | SAS Institute | SAS Anti-Money Laundering | AML, Fraud and Compliance | 2003 | n/a |
In 2003, Bank of America implemented SAS Anti-Money Laundering. SAS Anti-Money Laundering, an AML, Fraud and Compliance application, was selected to provide enterprise transaction surveillance, alerting and case management to meet USA PATRIOT Act and AML compliance requirements.
Deployment focused on enterprise surveillance across finance and compliance functions in North America, instrumenting transaction monitoring workflows and centralized alert generation. The implementation embedded SAS analytics and predictive models into detection pipelines, enabling model based scoring, alert triage and consolidated case handling.
Bank of America served as an early development partner for SAS' AML solution, collaborating on analytic model development and configuration of case management workflows. The rollout covered multiple business lines and standardized suspicious activity reporting processes to align with regulatory reporting obligations.
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CommBank | Banking and Financial Services | 48580 | $18.7B | Australia | SAS Institute | SAS Anti-Money Laundering | AML, Fraud and Compliance | 2009 | n/a |
In 2009, Commonwealth Bank of Australia extended its Financial Crimes Platform to include SAS Anti-Money Laundering. The SAS Anti-Money Laundering implementation centralized fraud detection and transaction monitoring within a single analytics platform for finance and compliance operations in Australia. The deployment consolidated enterprise transaction data and AML capabilities onto the SAS analytics platform to provide unified analytic workflows and a single source for alerts and case generation.
Functional capabilities implemented included rules-based and analytics-driven detection, transaction monitoring, case management for investigations, and centralized scoring and alerting consistent with the AML, Fraud and Compliance category. The architecture emphasized a centralized analytics core that supported data ingestion, normalization, model execution, and investigation workflows, enabling consolidated surveillance across the bank's finance and compliance functions. Governance changes concentrated oversight and streamlined investigative processes to improve efficiency, and the initiative aimed to improve detection and streamline investigations by consolidating data and AML capabilities onto the SAS analytics platform.
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