Governance Architecture
Governance framework for military health readiness intelligence — signal routing, confidence thresholds, authority chain design, and DHA/IMCOM alignment documentation.
ANONYMIZED · REAL ENGAGEMENT · CROMTEC GROUP
Authority Chain Design
Military governance requires explicit chain-of-command documentation for every AI-assisted decision. ATLAS-M implements a three-tier authority chain: Tier 1 (routine readiness) — Primary care provider review, automated receipt generation. Tier 2 (elevated concern) — Primary care provider + behavioral health consultation, dual-reviewer receipt. Tier 3 (readiness determination) — Medical officer of record + commanding officer notification, full authority chain receipt with time-stamped acknowledgments at each level.
NASA ERI/HEHI Integration
ATLAS-M incorporates the NASA Environmental Readiness Index (ERI) and Human Environmental Health Index (HEHI) methodologies under formal technology license. These frameworks, originally developed for satellite-based Earth science at Goddard Space Flight Center, are applied to integrate environmental exposure data with human biomarker signals. The integration produces a composite readiness score that accounts for both individual health status and environmental conditions — a capability not available in any other commercial health AI platform.
DHA Alignment Documentation
The governance architecture is documented against Defense Health Agency (DHA) AI governance requirements and IMCOM Vision alignment criteria. Key alignment points: (1) Every AI output is traceable to source data, model version, and authorization chain — satisfying DHA audit requirements. (2) Confidence scoring with explicit uncertainty disclosure satisfies DHA requirements for human-in-the-loop AI. (3) The governance receipt format is compatible with DHA's emerging AI governance receipt standard.
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