The Department of Defense (DOD) is seeking proposals for the topic of "AI-Enhanced TPS Development and Sustainment" as part of their SBIR program. The objective of this project is to develop an organic capability for field-level maintenance and repair of weapon system electronics, reducing supply chain latency and screening electronic components for No Evidence of Failure (NEOF) at the source. The goal is to achieve faster weapon system repairs, shorter component Turn-Around-Times (TAT), high equipment Operational Availability (Ao), and high unit readiness at lower life-cycle costs. The project will apply Artificial Intelligence (AI) and Model-Based Systems Engineering (MBSE) to improve the development, operation, and sustainment of Test Program Sets (TPS) for electronic components of weapon systems. Phase I proposals are accepted with a budget of up to $250,000 for a 6-month period of performance. Phase II will involve TPS hardware and software prototype development, critical design, test, integration, verification, validation, and acceptance. Phase III will focus on dual-use applications such as sensor integration in mobile platforms with AI-assisted guided diagnostics. The project has potential applications across all Army commodities, ground, air, missile, and C5ISR. The solicitation is open until March 31, 2025. For more information, visit the SBIR topic link or the solicitation agency website.