Governance Engine - from Ethics to Intelligence

The AI system that detects and resolves inconsistencies across governance levels, turning policy documents into interoperable intelligence.

Our Approach: From Ethical Framework to System Design

 Built on the Ethigrality framework, the Governance Engine translates moral reasoning into operational systems.
It embeds coherence through three pillars:

  1. Semantic Intelligence – transforming policies and regulations into machine-readable knowledge.
     
  2. AI Reasoning – guiding decisions through ethical and logical consistency.
     
  3. Data Coherence – ensuring interoperability across governance levels and standards.

Core Systems

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    The informational DNA of governance.

     PMC establishes a shared digital structure for laws, standards, and policies.
    By encoding legal and policy clauses as metadata objects, it enables machine readability and semantic interoperability across institutional frameworks.

    Key Features:

    • Transforms text-based regulations into structured data for analysis and comparison.
       
    • Detects contradictions, overlaps, and gaps across multiple frameworks.
       
    • Supports compliance automation and evidence-based policymaking.
       

    Applications:


    Used in CohAI pilots for identifying policy conflicts and in MetaGov modules for real-time coherence assessment between national and regional strategies.

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    The systemic alignment layer.

    MGC measures how policies and plans interact across governance levels — from local to international — ensuring subsidiarity, consistency, and unity of purpose.
    It provides a diagnostic method for identifying misalignments and duplications between agencies or jurisdictions.

    Key Features:

    • Evaluates vertical (multi-level) and horizontal (inter-agency) coherence.
       
    • Integrates sustainability objectives (SDGs, ESG, ISO) into comparative indicators.
       
    • Supports data-driven coordination between ministries, regions, and municipalities.
       

    Applications:
    Forms the conceptual basis of the MetaGov suite (LG, OA, CG, ML) and contributes to policy audits under CohAI’s governance ontology.

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    Mapping institutional ethics and coherence pathways.

    The Governance Genome decodes how ethical principles and decision protocols replicate — or drift — within public institutions.
    It applies a data-driven approach to reveal invisible patterns of governance: who decides, under what logic, and with what moral consistency.

    Key Features:

    • Maps decision trees and accountability flows across agencies.
       
    • Detects ethical drift and fragmentation through coherence metrics.
       
    • Links normative principles (Ethigrality’s six) with institutional behavior.
       

    Applications:
    Used for integrity diagnostics in ESG Streamer and MetaPolicy AI, informing coherence and ethics reviews for public institutions and corporations.

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    Embedding ethical reasoning in AI systems.

    CohAI integrates normative reasoning into artificial intelligence, enabling machines to process governance data through an ethical and logical lens.
    It ensures that algorithmic decisions respect coherence, transparency, and fairness — not just efficiency.

    Key Features:

    • Combines semantic analysis with moral reasoning models derived from Ethigrality.
    • Evaluates decision pathways for logical and ethical consistency.
    • Enables explainable AI (XAI) outputs tailored for governance and policy analysis.

    Applications:
    Underpins AI-based policy simulations, ethical audits, and multi-level governance dashboards — forming the reasoning core of MetaPolicy AI and CohAI Policy Pilot

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