Hierarchical AI System for Advanced Air Mobility Regulatory Gap Analysis

MSBAI proposes a hierarchical AI system, MBE-GURU, to transform regulatory gap analysis for Advanced Air Mobility (AAM) vehicles. This innovation uses a three-tier agent architecture—planning, grounding, and control—to systematically identify, analyze, and prioritize gaps in existing airspace regulations (e.g., 14 CFR Parts 23, 25, 27) for novel AAM designs like eVTOLs and hybrid-electric aircraft. Unlike traditional expert-driven methods, MBE-GURU leverages graph-based knowledge representation and dynamic adaptation to enhance efficiency, accuracy, and scalability. Phase I funding will develop a prototype, advancing from TRL 2 to 4 over 13 months, by creating a regulatory knowledge graph, integrating with NASA’s AAM tools, and validating use cases. This supports NASA’s Model-Based Enterprise (MBE) goals for agile decision-making in mission and programmatic development. Target markets include aircraft manufacturers needing certification clarity, regulatory agencies evolving standards, and standards organizations like SAE and ASTM. By reducing analysis time by 70% and enabling adaptive gap prioritization, MBE-GURU accelerates AAM deployment while ensuring safety and compliance, positioning it for broad aerospace adoption.