Business World Model: An AI Architecture for Autonomous Strategic Decision-Making in Organizations
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[Submitted on 8 Jun 2026]
Summary
This paper introduces the concept and architecture of a Business World Model (BWM), a specialized world model for business environments that enables AI systems to plan, optimize, and execute business initiatives from high-level strategic objectives. Inspired by world models in AI, cognitive science, and control theory, the BWM encodes business states, dynamics, constraints, objectives, and feasible action spaces to support autonomous decision-making. The proposed architecture integrates semantic data representations, probabilistic machine learning models, deterministic business rules, and explicit action spaces into a coherent structure for planning and counterfactual reasoning. The key contribution is organizing these components as an executable internal simulator for business initiatives, moving from instruction-based execution toward goal-driven planning and execution.
Source
bskyBusiness World Model: An AI Architecture for Autonomous Strategic Decision-Making in Organizationsarxiv.orgKey quotes
· 5 pulledThe transformative potential of AI extends beyond automating predefined tasks: it lies in enabling intelligent systems to plan, optimize, and execute business initiatives from high-level strategic objectives.
This paper introduces the concept and architecture of a business world model (BWM), a world model specialized for business and organizational environments.
The proposed architecture integrates semantic data representations, probabilistic machine learning models, deterministic business rules, and explicit action space into a coherent structure for planning and counterfactual reasoning.
The contribution of BWM lies in organizing them as an executable internal simulator for business initiatives.
This work establishes a conceptual foundation for autonomous business systems capable of moving from instruction-based execution toward goal-driven planning and execution.
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