AREXYZ Operational Intelligence OS: Quantum-Inspired Probabilistic Orchestration for AI-Assisted Team Sports Environments

This preprint presents the AREXYZ Operational Intelligence OS, a quantum-inspired probabilistic orchestration framework designed for AI-assisted team sports environments. Unlike conventional sports analytics platforms that primarily focus on visualization and statistical reporting, the proposed architecture emphasizes operational intelligence, contextual decision propagation, and execution-chain support for coaches, analysts, and club operators. The framework introduces:- Dynamic Baseline Modeling- Multi-Observer Context Processing- Tactical Branch Probability Analysis- Human-in-the-loop AI orchestration- Strategy Auto-Chain execution logic- Dual AI operational layers- Knowledge Archive synchronization The system architecture is implemented through the AREXYZ / StratoSync Sports Intelligence environment and is designed to support football operations while remaining extensible to broader team sports domains. This work does not claim physical quantum computation. The term “quantum-inspired” is used strictly as an operational and probabilistic systems analogy for uncertainty-aware contextual orchestration. The paper combines:- theoretical modeling,- operational systems architecture,- AI orchestration methodology,- probabilistic contextual analysis,- and SportsTech implementation strategy. Keywords:SportsTech, Operational Intelligence, AI-assisted Coaching, Human-in-the-loop AI, Tactical Analytics, Contextual Decision Systems, Sports Intelligence OS, Football Analytics, Probabilistic Orchestration, AREXYZ