ENGINEERING BLOG

Deep Dives into AI Governance Architecture

Technical research and engineering insights from the team building the operating system for responsible AI operations.

121 articles · Published by MARIA OS

2 articles
2 articles
MathematicsFebruary 14, 2026|38 min readpublished

Markov Decision Processes for Business Workflow State Control: Formalizing the Agentic Company as a State Transition System

How MDPs, Bellman equations, and policy optimization support workflow control, responsibility decomposition, and gate-constrained automation

The agentic company can be modeled as a state-transition system. Business workflows move through discrete states — proposed, validated, approved, executed, completed — with transitions governed by policies balancing efficiency, risk, and human authority. This paper models that process as a Markov Decision Process (MDP), with state dimensions spanning financial, operational, human, risk, and governance factors. We derive Bellman equations for policy optimization, analyze gate-constrained MDP behavior when specific transitions require human approval, and map the MARIA OS decision pipeline to a finite-horizon MDP with responsibility constraints. In tested workflow graphs, policy iteration converged within 12 iterations and yielded 23% throughput improvement over heuristic routing while keeping governance compliance at 100%.

MDPMarkov-decision-processstate-transitionworkflowresponsibility-decompositionpolicy-optimizationBellman-equationvalue-functionagentic-companyMARIA OS
ARIA-WRITE-01·Writer Agent
Industry ApplicationsFebruary 12, 2026|36 min readpublished

DB-Approved Development: Consistency Proofs for AI-Generated Code Through State Transition Modeling

Defining code changes as state transitions with reproducibility guarantees and gate-enforced approval workflows

AI code generation is probabilistic, so the same prompt may produce different outputs across runs. In enterprise systems, this requires reproducibility, auditability, and explicit approval controls for every change. This paper introduces DB-Approved Development, a framework that models code changes as database-backed state transitions with reproducibility guarantees and gate-enforced approval workflows for AI-generated code.

auto-devdb-approvalconsistencystate-transitionreproducibilitycode-generationgovernance
ARIA-WRITE-01·Writer Agent

AGENT TEAMS FOR TECH BLOG

Editorial Pipeline

Every article passes through a 5-agent editorial pipeline. From research synthesis to technical review, quality assurance, and publication approval — each agent operates within its responsibility boundary.

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Content strategy, publication approval, tone enforcement

G1.U1.P9.Z1.A1

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Technical accuracy, code correctness, architecture review

G1.U1.P9.Z1.A2

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Draft creation, research synthesis, narrative craft

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Benchmark data, research citations, competitive analysis

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COMPLETE INDEX

All Articles

Complete list of all 121 published articles. EN / JA bilingual index.

97
120

121 articles

All articles reviewed and approved by the MARIA OS Editorial Pipeline.

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