- Identifier
- WT-WP-001, version 1.0
- Type
- Technical whitepaper
- Published
- September 25, 2026
- Status
- Technical whitepaper. Proposed architecture. Not peer reviewed. Reports no measured deployment or product outcomes.
- DOI
- No DOI assigned.
- License
- Creative Commons Attribution 4.0 International (CC BY 4.0), original text and figures
- Language
- English
- File
- PDF, 14 pages, 492,693 bytes
- PDF SHA-256
- fbc96b91db882b3c72518c016d28cfabf03501e7d87e5a5a1ca78f0f6cb9ca8b
Abstract
Enterprise AI can retrieve information and execute work without establishing who is authorized to decide, which evidence remains valid, or how an exception should be reviewed. This whitepaper asks what additional architecture is needed to make expert decision context available while preserving organizational control. It defines a Sovereign Judgment Twin as a proposed decision-support system that combines permission-aware evidence retrieval, explicit expert-informed frameworks, enforceable authority boundaries, human disposition, and a versioned decision record. The contribution is an implementation-neutral reference architecture, a minimum decision-record schema, a synthetic risk-exception walkthrough, and a comparative evaluation design. The method is a targeted synthesis of primary technical sources followed by design analysis; it is not a systematic review or an empirical study. The paper treats sovereignty as a set of verifiable controls across processing, access, retention, operations, and exit. It makes no claim that a twin reproduces a person's mind or that agentic systems cannot implement the same controls. The proposed value is conditional: reduce avoidable decision delay while maintaining decision quality and accounting for review, rework, and operating effort. ChatGPT assisted with research, drafting, and document production.
Subject terms
- enterprise AI
- decision support
- AI governance
- institutional memory
- data sovereignty
- agentic workflows
- provenance
- human oversight
- judgment latency
How to cite
Bodnarchuk, R. (2026). Sovereign Judgment Twins: A reference architecture for governed enterprise decision support (WisdomTwin Technical Whitepaper WT-WP-001, Version 1.0). WisdomTwin, Inc.
This page is a distribution mirror. The canonical record is the WisdomTwin Research Library entry. The PDF here is byte-identical to the published version of record (SHA-256 above).