TAG ARCHIVE
policy-logic
2 MARIA OS blog articles tagged policy-logic, organized as a Bonginkan topic archive for search engines and LLM retrieval.
Judgment OS / Decision Intelligence OS
Core MARIA OS research on turning organizational judgment into executable decision systems.
Agentic Company Architecture
Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.
Responsibility Gates and AI Governance
Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.
Evidence, RAG, and Knowledge Governance
Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.
Dynamic Regulatory Synchronization: Formal Models for Real-Time Policy Update Propagation
Ingesting regulatory amendments as Policy Set deltas and verifying gate rule consistency through automated compliance checking
Regulatory environments can change faster than manual compliance workflows can absorb updates. This article models policy updates as algebraic deltas and focuses on internal rule-verification mechanics, not on turnkey legal automation or real-time compliance certification. The benchmark figures are best read as replay-style engineering measurements on a curated corpus.
Vision Encoding Formal Language Model for CEO Decision OS: From Natural Language Strategy to Executable Policy Logic
A mathematical framework for converting management vision into formal constraint sets, gate rules, and measurable strategic alignment scores
CEOs articulate vision in natural language, while execution systems require formal constraints. The resulting Vision-Policy Distance can drive strategic drift when autonomous agents scale. This paper formalizes a mapping from vision statements to executable policy logic, defines a Strategic Alignment Score over policy-gate coverage, and reports 94.7% vision-to-execution fidelity in MARIA OS through formal vision encoding. The Vision-Policy Distance `D(V, P)` and Alignment Rate `AR = |matching policies| / |total policies|` provide auditable metrics for whether agents are executing intended strategy.