Operational Continuity Architecture: Organizational Embedding of AI Alignment and Drift Governance
Abstract
SM-003: Operational Continuity Architecture The Operational Continuity Architecture (SM-003) defines the architectural topology required for continuity-preserving AI interaction at organizational scale. This document specifies how Level 1 continuity primitives; originally established in the Continuity Anchoring Method (SF0005); are instantiated across institutional roles, workflows, and canon systems. It establishes the organizational topology on which the Institutional Continuity Substrate (SM-021) and Delegated Coherence Monitoring (SM-011) depend. The architecture addresses several systemic failure modes: Canon fragmentation occurring when teams develop incompatible interpretations of shared frameworks Constraint stripping at workflow exit points where verification status is lost Lineage severance during artifact transformation where canonical anchoring is obscured Structural decoupling of formal governance from actual operational practice Methodological status: SM-003 specifies structural conditions for continuity persistence rather than behavioral guarantees. It operates at Level 2 of the Synthience Framework, assuming empirically grounded Level 1 phenomena and extrapolating their requirements for distributed institutional interaction. This work is explicitly pre-empirical and is published as part of a coordinated module to resolve load-bearing references within the framework. Document ID: SM-003 Version: 2.8 Author: Thomas W. Gantz Affiliation: Synthience Institute License: CC-BY 4.0 For published work and Institute information: synthience.orgv2.8 update: concept DOI added to metadata and citation block; DOIs added for SF0005 and SM-021 references.
Fields of Study & Subjects
Systems Engineering Methodologies and Applications
Business Process Modeling and Analysis
AI-based Problem Solving and Planning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 April 2026
- Language
- EN
- Document type
- Preprint