AICOS: An Evidence-Based Institutional Decision Reliability Infrastructure for Replayable, Auditable and Calibrated Organizational Decisions

This paper introduces AICOS (AI-enabled Institutional Decision Reliability Infrastructure), a governance-oriented framework designed to improve the reliability, transparency and reproducibility of institutional decision processes. The proposed architecture connects evidence management, policy alignment, intelligence processing, decision execution, replay mechanisms, outcome evaluation and calibration within a structured lifecycle. Unlike approaches focused only on prediction performance, AICOS emphasizes the complete decision lifecycle by preserving relationships between evidence, decisions and measurable outcomes. The framework introduces concepts including replayable decisions, evidence-based governance, decision reliability measurement and outcome calibration. This research presents an architectural and conceptual framework. Further empirical validation across different institutional environments is required to evaluate practical performance and scalability.