List of C3 AI Fraud Detection Customers
Redwood City, 94063, CA,
United States
Since 2010, our global team of researchers has been studying C3 AI Fraud Detection 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 Fraud Detection 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 Fraud Detection for AML, Fraud and Compliance include: ENEL, a Italy based Utilities organisation with 61192 employees and revenues of $92.70 billion, FIS, a United States based Professional Services organisation with 60000 employees and revenues of $10.13 billion, New York Power Authority, a United States based Government organisation with 2500 employees and revenues of $4.01 billion and many others.
Contact us if you need a completed and verified list of companies using C3 AI Fraud Detection, 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 Fraud Detection 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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ENEL | Utilities | 61192 | $92.7B | Italy | C3.ai | C3 AI Fraud Detection | AML, Fraud and Compliance | 2015 | n/a | In 2015, ENEL deployed C3 AI Fraud Detection to identify and prioritize non-technical energy loss across its smart meter estate. C3 AI Fraud Detection was implemented as an AML, Fraud and Compliance application to support detection of energy theft and billing errors and to surface high-priority cases for further investigation. The implementation emphasized fraud detection and prioritization capabilities common to AML, Fraud and Compliance systems, including behavioral anomaly detection, scoring of suspected loss events, and workflows that route prioritized cases to investigator teams. Configuration focused on rules and models tuned for utility-specific signals, enabling investigators to concentrate on billing exceptions and suspected theft rather than low-value alerts. Operational scope covered ENEL's smart meter estate with a stated goal to substantially increase unbilled energy recovery in Italy and Spain, and the deployment was positioned to improve recovery operations and investigator productivity. The ENEL C3 AI Fraud Detection deployment links fraud detection capabilities to field recovery and investigations functions, aligning detection outputs with operational case handling and prioritization processes. | |
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FIS | Professional Services | 60000 | $10.1B | United States | C3.ai | C3 AI Fraud Detection | AML, Fraud and Compliance | 2021 | n/a | In 2021, FIS launched C3 AI Fraud Detection, an AI-enabled solution built in partnership with C3.ai to address AML, Fraud and Compliance requirements in the banking and financial services domain. The deployment was announced for the United States in 2021 and is described as an application that aggregates and analyzes client data across KYC and AML monitoring systems to target financial crime detection. The implementation of C3 AI Fraud Detection centers on data aggregation and analytics capabilities, consolidating KYC records and ingesting AML monitoring feeds into a unified analytics layer. Native AI and machine learning capabilities were applied to detect anomalous behavior and generate prioritized alerts, supporting investigator workflows and case triage as part of AML monitoring and alert management processes. Integrations were explicitly oriented toward existing KYC and AML monitoring systems, enabling cross-system data correlation and consolidated evidence views for investigators. Operational scope is focused on AML and financial crime functions within the banking and financial services operations in the United States, impacting compliance teams and investigator groups responsible for suspicious activity review. Governance and process changes emphasize centralized data consolidation and standardized alerting inputs, with the stated aim of improving AML outcomes and investigator efficiency through C3-powered AI capabilities. The narrative reflects an application-centric deployment of C3 AI Fraud Detection within FIS compliance operations, aligned to the AML, Fraud and Compliance category. | |
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New York Power Authority | Government | 2500 | $4.0B | United States | C3.ai | C3 AI Fraud Detection | AML, Fraud and Compliance | 2018 | n/a | In 2018, New York Power Authority adopted C3 IoT and C3 AI as the AI software foundation and implemented C3 AI Fraud Detection as part of a statewide digital utility transformation. C3 AI Fraud Detection was applied within the AML, Fraud and Compliance Apps Category to support utility-specific fraud detection and compliance workflows tied to customer energy management and operational analytics across NYPA’s service footprint in the United States. The implementation centered on the C3 AI Fraud Detection application and associated C3 AI platform capabilities, leveraging pre-built utility use case functionality for non-technical loss detection and anomalous consumption identification. Typical AML, Fraud and Compliance functional terminology such as anomaly detection, model orchestration, score generation and rule-based alerting was embedded into detection pipelines, with configuration focused on utility meter and customer usage signal patterns. Operationally the deployment used C3 IoT and C3 AI as the analytic and data orchestration layer integrating meter telemetry and customer energy management data into fraud detection workflows. The solution supported operational analytics teams and customer program managers, enabling flagged events and model outputs to feed program decisioning and targeted outreach without naming downstream systems. Governance and rollout emphasized cross-functional ownership between operations and customer programs, aligning fraud detection outputs to energy-efficiency program enablement and customer empowerment objectives. Outcomes called out in NYPA materials include enhanced customer energy management capabilities and program enablement driven by C3 AI Fraud Detection and the broader C3 IoT / C3 AI foundation. |
Buyer Intent: Companies Evaluating C3 AI Fraud Detection
- Control Risks, a United Kingdom based Professional Services organization with 3000 Employees
- Adennet, a Yemen based Communications company with 10 Employees
- Simultrans, a United States based Distribution organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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