Abstract
This publication discloses methods and systems for AI-driven governance artifact construction within decision infrastructure systems. The disclosed methods relate to the field of automated policy-to-code translation, where techniques from obligation extraction and model-driven engineering transform unstructured policy documents into formal governance specifications. In one embodiment, an AI constructor analyses source material — including policy documents, regulatory standards, and process descriptions — and proposes governance artifacts that declare structural and governance requirements for organisational decisions. The AI constructor performs automated decision specification authoring by translating natural language source material into formal governance specifications, proposed context configurations identifying contextual dimensions along which governance outcomes would differ, policy evaluation logic with context relevance declarations, and reasoning structure templates with requirements traceability to source material. In one embodiment, the AI constructor generates policy evaluation logic through an iterative generation cycle with structured diagnostic feedback: generated logic is tested against behavioural verification cases and refined on failure until the logic satisfies all verification conditions. The AI constructor operates at design time, constructing decision infrastructure from policy documents rather than participating in the evaluation of individual decisions at runtime. This design-time AI infrastructure construction has distinct governance implications: the AI shapes infrastructure that governs future decisions. All AI-generated governance artifacts pass through a governed pipeline comprising proposal, deterministic structural validation, and human authorization stages before entering the governance system, ensuring that AI-generated artifacts conform to the same structural requirements as manually authored artifacts. The governed pipeline enforces a non-bypassable human authorization gate for artifact admission. The disclosed approaches enable automated compliance rule extraction and multi-artifact policy conversion, bridging the gap between unstructured policy source material and formal governance infrastructure through AI-assisted configuration generation and AI-driven decision infrastructure construction.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Winchester, Jayson, "Automated Policy-to-Code Translation — AI-Driven Governance Artifact Construction from Policy Documents", Technical Disclosure Commons, (February 19, 2026)
https://www.tdcommons.org/dpubs_series/9354