List of C3 AI Anti-Money Laundering Customers
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United States
Since 2010, our global team of researchers has been studying C3 AI 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 C3 AI 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 C3 AI 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, Standard Chartered Bank, a United Kingdom based Banking and Financial Services organisation with 80695 employees and revenues of $19.81 billion, FIS, a United States based Professional Services organisation with 60000 employees and revenues of $10.13 billion and many others.
Contact us if you need a completed and verified list of companies using C3 AI 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 C3 AI 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 | Insight Source |
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Bank of America | Banking and Financial Services | 213000 | $101.9B | United States | C3.ai | C3 AI Anti-Money Laundering | AML, Fraud and Compliance | 2021 | n/a | In 2021, C3.ai listed Bank of America among its enterprise production deployments in Financial Services, indicating live use of C3.ai applications in the United States. This placement supports the inference that Bank of America uses the C3 AI Anti-Money Laundering application in the AML, Fraud and Compliance category as part of C3.ai's Financial Services Suite. The inferred C3 AI Anti-Money Laundering implementation would align with category-standard functional modules, including large-scale data ingestion and normalization, transaction monitoring and scoring, entity resolution for customer and counterparty networks, model orchestration for machine learning risk models, and case management workflows for alert investigation. C3 AI Anti-Money Laundering in this context implies production model pipelines and feature stores to support real-time decisioning and continuously updated risk scores. Operational coverage is inferred to concentrate on compliance, AML operations, and financial crime risk teams within Bank of America across United States operations, with governance likely emphasizing centralized model governance, audit logging, regulated workflow controls, and analyst investigation routing. This narrative is an analyst inference grounded in C3.ai's public customer disclosure and the composition of its Financial Services Suite, rather than an explicit vendor statement of module-level deployment. | |
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FIS | Professional Services | 60000 | $10.1B | United States | C3.ai | C3 AI Anti-Money Laundering | AML, Fraud and Compliance | 2021 | n/a | In 2021, FIS launched the FIS AML Compliance Hub embedding C3 AI Anti-Money Laundering into its AML, Fraud and Compliance portfolio, a move announced in June 2021 that explicitly names C3 AI as the technology provider. The C3 AI Anti-Money Laundering application is positioned to aggregate KYC and AML data and to reduce false positives while improving financial crime detection and investigator productivity for capital markets firms. The implementation is delivered through the FIS AML Compliance Hub, where C3 AI Anti-Money Laundering centralizes KYC and AML datasets to support analytics and machine learning driven detection. Functional capabilities implemented include cross source data aggregation, entity resolution for KYC enrichment, risk scoring to prioritize alerts, and support for alert triage and case management workflows to increase investigator productivity. Integrations focus on ingesting and normalizing KYC and AML data sources, enabling consolidated analytics and a single investigative workbench for capital markets clients. The architecture emphasizes centralized data orchestration and model-led detection engines consistent with AML platform patterns, with C3 AI technology providing the AML detection and analytic layer. Governance and operational change centers on streamlined investigator workflows and reduced false positive volumes, with the product geared toward improving detection accuracy and investigator throughput. The deployment reflects an AI-enabled risk solution strategy within FIS, with C3 AI Anti-Money Laundering explicitly referenced as the AML capability provider. | |
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Standard Chartered Bank | Banking and Financial Services | 80695 | $19.8B | United Kingdom | C3.ai | C3 AI Anti-Money Laundering | AML, Fraud and Compliance | 2021 | n/a | In 2021, C3.ai disclosed Standard Chartered Bank as a production-deployment customer in Financial Services, indicating the bank had moved C3.ai enterprise applications into production to strengthen risk, compliance, or operational analytics. The disclosure and C3.ai’s Financial Services Suite positioning imply deployment of C3 AI Anti-Money Laundering within Standard Chartered’s AML, Fraud and Compliance technology footprint across EMEA and global operations. The inferred implementation aligns with category-aligned capabilities common to C3 AI Anti-Money Laundering, including transaction monitoring, entity resolution, risk scoring, alert generation, case management, and model orchestration. Configuration would be expected to include data ingestion pipelines for transactional and customer attribute feeds, analytic model deployment for suspicious pattern detection, and rule or model-based alerting tied to investigative workflows. Operationally the production disclosure suggests integration with internal transaction processing feeds, compliance data stores, and investigative case management workflows, enabling analytics-driven alerts to compliance and fraud teams. Governance and controls are likely organized around model validation, alert triage procedures, and centralized compliance reporting to meet AML, Fraud and Compliance oversight requirements. |
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