Cognitive Logic
Bologna · Italy
AI Governance Infrastructure
QEN Framework
AI Governance · Knowledge Governance · Explainability

Measurable
artificial
intelligence.

Cognitive Logic develops the QEN Framework: an enterprise methodology that transforms evidence, organisational knowledge, regulatory requirements and decision accountability into governance systems that are measurable, explainable and verifiable.

Enterprise Baseline · 2026

The QEN Framework now has a complete enterprise baseline.

Cognitive Logic has defined the methodological system required to design, execute, measure, document and govern AI Governance and Knowledge Governance programmes across the entire delivery lifecycle.

QEN Framework

Principles, metrics, decision models and explainability criteria.

Service Catalogue

Formalised enterprise services for assessment, strategy and governance.

Delivery Framework

Lifecycle, evidence, KPIs, risks, decisions, quality and reporting.

Validation Programme

The first official methodological validation programme is underway.

QEN Validation Programme

QEN Validation Programme No. 001

The first official validation programme demonstrates the applicability of the QEN Framework in a real case by measuring quality, repeatability, explainability, traceability and governance across the entire process.

Objective

Validate the methodology without developing new software, using only the enterprise assets already completed.

Outputs

Assessment, KPIs, evidence, risk analysis, roadmap, executive report and the first official case study.

First Validation Case

Costa360 is the first real-world validation case.

Costa360 provides the first operational environment used to verify the behaviour of the QEN Framework throughout the delivery lifecycle.

Role

An independent application case used to produce evidence, verify KPIs, collect results and build the first official case study.

Approach

Evidence First, Governance First, Explainability, Decision Traceability and Human Accountability.

Enterprise Capabilities

A methodological infrastructure for artificial intelligence governance.

The QEN Framework integrates governance, knowledge, evidence, measurement and decision processes into a single, verifiable and technology-independent model.

AI Governance

Roles, controls, accountability and oversight of AI systems.

Knowledge Governance

Structured knowledge, semantic relationships and verifiable sources.

Evidence Governance

Collection, validation and management of evidence.

Explainability

Decisions that are understandable, justified and verifiable.

KPI & Measurement

Indicators, metrics and continuous governance measurement.

Risk & Decision Governance

Risk management, approvals and decision accountability.

How QEN Works

From evidence to decision.

The QEN method organises every project through a repeatable, documented and verifiable process.

Evidence

Collection of information and sources.

Assessment

Methodological evaluation and requirements analysis.

Measurement

KPIs, metrics and measurable indicators.

Decision

Recommendations and decision governance.

Improvement

Roadmap, continuous improvement and review.

Research & International Watch

Research, international monitoring and continuous development.

The QEN Framework evolves through applied research, regulatory monitoring, real-world cases and continuous validation.

Research

Applied research and methodological development.

International Watch

Continuous monitoring of international developments.

Knowledge Evolution

Continuous improvement of the framework and its standards.

Enterprise Engagement

Making data, knowledge and decisions intelligible.

Cognitive Logic supports organisations, companies and institutions in designing measurable, explainable and verifiable AI Governance systems.