Modular Architecture for Sovereign AI Systems
The Standard defines what sovereign AI must achieve. The Reference Stack defines how — a modular component architecture that SIA-compliant implementations should include.
These are architectural building blocks, not a product catalog. The specific technologies and implementations will vary. The functional requirements do not.
The foundational layer. Traffic governance, model management, compliance enforcement.
Classifies query sensitivity in real-time. Routes to local inference or approved external endpoints based on defined rules. The gatekeeper for all AI traffic.
Unified API across any model. Swap foundation models without application changes. The key to LLM agnosticism.
Centralized logging, audit trails, and policy enforcement. Every inference recorded with full context.
Versioned prompt storage with audit history. Configuration as code for AI behavior.
Caching, quantization, batching. Performance without compromising sovereignty.
How sovereign AI accesses and applies knowledge.
Retrieval-augmented generation on your infrastructure. Your documents, your vectors, your answers.
Hallucination prevention layer. Responses grounded in verified sources with citation.
Local embedding generation and storage. Semantic search without data egress.
Structured relationships beyond vector similarity. Entity resolution, inference chains, explainable connections.
Context persistence across conversations. Continuity without sending history to external APIs.
How users engage with sovereign AI systems.
Text-based interaction foundation. Chat interfaces, command processing, dialogue management.
Speech recognition, synthesis, and conversation — on-premise. Real-time voice interaction without cloud ASR/TTS.
Avatar systems, video presence, multimodal interfaces for high-engagement applications.
Unified experience across text, voice, and visual modalities. Consistent AI behavior regardless of interface.
Intelligence extraction at enterprise scale.
Full extraction from unstructured documents. OCR, layout analysis, semantic parsing.
Automatic document type detection. Intelligent routing based on content.
Structured data from unstructured input. Names, dates, amounts, relationships — extracted and normalized.
Automatic PII detection and removal. Data transformation for safe downstream use.
Regulatory adherence and threat defense.
Compliance requirements as executable code. Automated policy enforcement.
Human-readable decision explanations. Audit-ready reasoning chains.
Fairness analysis across protected categories. Monitoring and alerting for drift.
Protection against prompt injection, jailbreaking, and model manipulation attacks.
AI-powered business process automation.
Real-time understanding of user goals. Routing and response selection.
Human-in-loop triggers. Approval workflows. Graceful handoff when AI reaches limits.
Connectors for enterprise platforms. ERP, CRM, EHR, trading systems — secure bridges that respect sovereignty boundaries.
The Reference Stack is architectural guidance. Implementation requires:
TSI-certified practitioners guide these decisions. When builds are needed, accredited implementation partners deliver to the Standard.
The Sovereign Institute connects organizations with certified practitioners for assessment and architecture guidance, and with accredited implementation partners for system builds.
For assessment, architecture, and advisory:
Connect with a Certified Practitioner →For product development and system builds:
Request Implementation Partner →Certification programs cover Reference Stack architecture in depth: