Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Journal . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

AICOS®: A Governance-First Decision Intelligence Infrastructure for Replayable and Audit-Ready Institutional AI Systems

Authors: Kalafatoğlu, Yasin;

AICOS®: A Governance-First Decision Intelligence Infrastructure for Replayable and Audit-Ready Institutional AI Systems

Abstract

This study introduces AICOS® as a governance-first Decision Intelligence infrastructure designed for replayable, audit-ready, and human-final institutional artificial intelligence systems. The paper examines the growing governance challenges associated with opaque AI-driven decision environments and proposes a framework integrating deterministic replayability, evidence continuity, uncertainty-aware governance controls, bounded authority structures, and fail-closed operational logic into institutional AI architecture. The proposed framework positions governance not as an external compliance layer, but as a foundational operational principle embedded directly into the decision lifecycle itself. The study further explores institutional applications within financial systems, banking infrastructures, and high-accountability operational environments where auditability, operational transparency, and supervisory continuity are critical requirements. The paper contributes to the literature surrounding trustworthy AI, institutional governance systems, operational accountability infrastructures, and replay-oriented decision architectures. It argues that future institutional AI systems should be evaluated not only according to predictive performance, but also according to replayability, governance resilience, audit continuity, and preservation of institutional trust under uncertainty.

AICOS® is presented as a governance-first institutional Decision Intelligence framework focused on preserving operational accountability, replay continuity, bounded authority, and institutional trust within high-impact AI-assisted environments. The architecture integrates deterministic replay infrastructure, evidence-chain preservation, uncertainty-aware governance mechanisms, fail-closed operational controls, and human-final supervisory authority into a unified institutional framework. The study is particularly relevant for regulated sectors including banking, financial technology, insurance, public-sector governance, cybersecurity, and critical infrastructure systems where explainability, auditability, and operational resilience are essential organizational requirements. This publication is part of the broader AICOS® research initiative focused on governance-centered institutional artificial intelligence, replayable decision systems, and operational trust infrastructures for complex organizational environments.

Keywords

Governance-First AI; Decision Intelligence; Institutional AI Systems; Replayability; Auditability; Human-Final Authority; Trustworthy AI; AI Governance; Financial Technology; Institutional Trust; Explainable AI; Operational Accountability; Deterministic Replay; Risk Intelligence; Institutional Decision Systems Subjects Artificial Intelligence Financial Technology (FinTech) Governance and Regulation Information Systems Risk Management Decision Sciences Computer Science Institutional Governance Machine Learning Operational Resilience, Governance-First AI; Decision Intelligence; Institutional AI Systems; Replayability; Auditability; Human-Final Authority; Trustworthy AI; AI Governance; Financial Technology; Institutional Trust; Explainable AI; Operational Accountability; Deterministic Replay; Risk Intelligence; Institutional Decision Systems Subjects Artificial Intelligence Financial Technology (FinTech) Governance and Regulation Information Systems Risk Management Decision Sciences Computer Science Institutional Governance Machine Learning Operational Resilience

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green