AICOS (Artificial Intelligence Coordination Operating System) is introduced as a governance-first decision infrastructure designed to support strategic decision processes in complex institutional environments. The system architecture is organized as a twelve-layer technology stack operating under the AX Decision Forge infrastructure model. These layers include planetary-scale signal acquisition, contextual intelligence, formal decision science modeling, risk and irreversibility analysis, governance validation mechanisms, deterministic decision replay, economic optimization engines, simulation environments, and executive-level decision interfaces. Within this architecture, decisions are treated as structured computational objects that can be analyzed, constrained, verified, and reproduced. The approach combines principles from decision science, systems engineering, artificial intelligence, and institutional governance frameworks. AICOS is designed to address the growing need for transparent and accountable decision processes in domains characterized by large-scale capital allocation, long-term infrastructure commitments, and systemic economic risk. Potential applications include energy infrastructure planning, financial system decision governance, strategic logistics networks, and large-scale industrial investments. The architecture emphasizes governance-first computation, meaning that optimization and predictive intelligence operate within explicit institutional constraints and human-final authority structures. Through deterministic decision replay and structured evidence layers, the system enables organizations to reconstruct decision processes for auditability, regulatory compliance, and institutional learning. The long-term vision of the architecture includes the development of a global decision network in which organizations operate as nodes within a broader decision infrastructure capable of coordinating complex strategic systems.

This work introduces the concept of Decision Infrastructure, a computational framework designed to transform complex strategic decision-making into structured, auditable, and economically optimized processes. The paper presents AICOS — The Planetary Operating System for Decisions, a governance-first intelligence infrastructure developed under the AX Decision Forge technology category. The architecture integrates formal decision modeling, risk and irreversibility analysis, scenario simulation, governance validation, and deterministic decision replay mechanisms. Unlike traditional analytics or AI systems that primarily focus on prediction and data processing, Decision Infrastructure focuses on the structured governance of high-impact decisions. The AICOS architecture enables institutions to evaluate strategic actions under uncertainty while maintaining transparency, accountability, and economic optimization. The proposed framework is particularly relevant for sectors characterized by high capital intensity, long decision horizons, and systemic risk exposure, including energy infrastructure, financial systems, logistics networks, and large-scale strategic investments. By formalizing decision processes into reproducible computational artifacts, AICOS provides a foundation for a new generation of digital infrastructure where decisions themselves become structured, verifiable, and replayable objects within institutional systems. The work positions AICOS as a foundational architecture for governance-first AI systems and for the emerging category of Decision Infrastructure.