AI-Powered Tool for Automated Evaluation of Vendor Economic Dependency

The Defense Logistics Agency (DLA) is seeking an AI-powered tool (DLA26BZ03-NV012) to automate the assessment of vendor economic dependency and related-party transactions within its supply chain. This initiative aims to enhance financial transparency, mitigate supply chain risks, and ensure compliance with federal accounting standards, specifically Statements of Federal Financial Accounting Standards (SFFAS) 47. The current manual process is inefficient and cannot scale to DLA's vast vendor base. The desired AI tool will integrate with DLA's business systems, retrieve public financial data, and apply defined criteria to identify potential economic dependencies and assess risk based on contract types. Phase I involves a feasibility study and proof-of-concept development, while Phase II focuses on building a scalable prototype within a government-approved environment, ensuring auditable results and seamless integration into DLA's operations. The technology has dual-use applications for other DoD components and federal agencies to improve financial oversight and supply chain risk management. The project is subject to ITAR/EAR restrictions, requiring disclosure of foreign national involvement.