A. Porbanderwala, B. Jones, V. Desiatkin
Red River Resources LLC d.b.a. Navaide, California, United States
Keywords: AI decision support, ROI analysis, OSD CAPE, multi-classification security, CDAO SBIR
The Department of Defense invests $2 billion annually across scattered education institutions (NDU, NPS, War Colleges) with critical ROI data trapped in memo format. OSD CAPE faces documented analytical capability gaps, lacking sufficient personnel and data for cross-institutional cost analysis. Congressional mandate NDAA Section 576 requires comprehensive Professional Military Education effectiveness reviews that current capabilities cannot adequately support. Navaide's CDAO SBIR Phase I (Contract W519TC-25-P-0046) investigates AI-driven analytical components specifically designed to address OSD CAPE's investment analysis challenges. Our six-component architecture provides automated memo-based data extraction, cross-institutional integration across various organizations, domain-specific ROI analysis with consolidation scenario modeling, and IL2-IL6 multi-classification security with zero-trust architecture. Phase I feasibility investigation validates component-level technical viability using synthetic education datasets through USAF CDAO partnership. The research evaluates various frontier language models, Neo4j knowledge graphs, and Retrieval-Augmented Generation architectures for accuracy and source attribution. Successful validation could enable 15% efficiency improvements representing approximately $300 million in annual optimization opportunities. Dual-use applications extend to federal agencies requiring cross-institutional data integration, regulatory impact assessment, and strategic decision support with stringent security requirements.