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LEO GALAMBOS
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JUSTIFIABLE AI · SYSTEM ARCHITECTURE

JAI

Making agentic systems justify decisions with evidence, constraints and accountable review.

A reasoning and governance architecture connecting AI with explicit policy, evidence and human decision authority.

Research & publications

2026 · RESEARCH MANUSCRIPTTowards Justifiable AI Systems: A SABSA-Driven Methodology for Self-Monitoring, Auditable and Conditionally Assured Agentic Systems

Leo Galambos. An architectural research contribution on justification, evidence, policy, oversight and controlled agentic operation. A manuscript does not itself establish external production assurance or peer-reviewed publication.

Architecture in brief

JAI investigates how a multi-component AI system can perform useful reasoning while retaining explicit decision structure and control boundaries. Its approach brings together AI reasoning and logic-based control, with particular interest in backtracking, auditable evidence and human authority.

For actual implementation boundaries and the latest status, consult the project documentation.