Governed sources
Inputs have provenance, scope and authority.
QEN is the governance framework developed by Cognitive Logic to organise sources, evidence, scoring and decision traceability in contexts where AI-supported outcomes must remain understandable, reviewable and subject to human authority.
In Italian, QEN stands for Quantificazione Etica Naturale. The original matrix measures social, environmental and territorial value. Its enterprise evolution applies the same evidence-based discipline to AI Governance and Knowledge Governance without turning a contextual score into a moral judgement about people.
Governance before automation.
Purpose
QEN connects documented sources, explicit criteria, attributable evidence and human responsibility. Its purpose is not to make an AI system appear certain. Its purpose is to make the path from information to decision reconstructable.
Inputs have provenance, scope and authority.
Criteria are declared and remain reviewable.
Outputs retain links to supporting records. Explore the research on Evidence Governance.
The reasoning path can be reconstructed.
Accountable people retain the final decision.
Governance is not tied to one model, vendor or cloud.
Method
QEN structures the path from authoritative input to a decision that remains reviewable, challengeable and accountable.
Relationship
They are related, but they are not interchangeable names.
QEN Framework is the methodological foundation. It defines the method used to organise criteria, evidence, contextual assessment and decision traceability.
QEN Sovereign is the governance infrastructure that operationalises governed knowledge, evidence, traceability, risk classification and human authority in enterprise and institutional contexts.
QEN Framework defines the method. QEN Sovereign provides the governed environment in which the method can be documented, applied, validated and audited.
Limits
Evidence
QEN follows a documentation-first and evidence-first approach. Architecture, governance decisions, validation activities and operational records are published as distinct artefacts so that claims can be examined rather than merely asserted.
Origin and authorship
QEN Framework was developed by Roberto Malini, founder of Cognitive Logic, from more than thirty-five years of operational experience in HoReCa and subsequent work in AI Data Architecture, Knowledge Architecture, AI Governance and Knowledge Governance.
Next steps
Continue with the method and the published evidence behind QEN.
Assess where governed sources, traceability and retained human authority are required.