AI-Driven Fraud Detection & Anomaly Monitoring System Development

The State Fiscal Accountability Authority of South Carolina is seeking a subcontractor to develop and deploy an AI-powered platform designed to monitor P-Card transactions for fraud, misuse, and anomalies using machine learning techniques. The system must be capable of adaptive learning to evolve with emerging threats, continuously refining its detection models without requiring constant manual intervention. It is expected to deliver real-time alerts to stakeholders when suspicious activity is identified, ensuring prompt response and minimizing financial exposure. The solution must integrate seamlessly with existing financial systems and handle high volumes of transaction data with accuracy and low latency. The contract is classified as a subcontract under NAICS code 511210, indicating it relates to software publishing and development services. The solicitation was posted on July 1, 2026, with responses due by July 29, 2026. The place of performance and point of contact details are not specified, but the work is tied to the state’s fiscal accountability objectives. The platform must prioritize security, scalability, and compliance with state financial regulations, while maintaining transparency in its decision-making processes to support auditability and oversight. Proposals should demonstrate technical capability, proven experience in fraud detection systems, and a clear roadmap for deployment, training, and ongoing support.