The Sovereign Intelligence Architecture (SIA): A Constitutional Model for Local AI and Institutional Data Sovereignty

Abstract The Sovereign Intelligence Architecture (SIA) specifies a reference framework for deploying local, air-gapped artificial intelligence systems in research environments where data sovereignty, intellectual property protection, and governance assurance are primary constraints. Rather than pursuing scale through cloud-based, high-compute models, SIA prioritises logical robustness, interpretability, and institutional autonomy through a “Glass Box” approach. The architecture integrates three functional layers: a local retrieval-augmented synthesis layer (“Librarian”), a formal adversarial reasoning layer (“Steelman”), and a human–AI teaming layer (“HATI”) designed to preserve systemic balance and accountability. SIA is not a commercial product, service, or managed solution. It is a constitutional reference architecture intended to be independently instantiated by institutions using locally governed hardware, models, and workflows. The specification emphasises strict separation between theoretical design and physical implementation in order to minimise security risk, vendor dependence, and intellectual capture. The framework is optimised for contemporary consumer-grade hardware (e.g. unified-memory systems and neural processing units) at approximately AUD $1,000 per workstation, enabling secure AI-assisted research without reliance on external networks or third-party platforms. This document is published as a stable architectural specification to support independent evaluation, institutional adaptation, and scholarly discussion. It makes no claims regarding universal applicability and explicitly excludes education, child-facing, and commercial deployment contexts.