source: arxiv artificial intelligence: business world model
level: research
businesses are using ai tools more often to boost productivity and cut costs. but ai can do more than automate set tasks. it can help systems plan and carry out business projects from high-level goals. this paper presents a business world model, or bwm, designed for business settings. it draws on ideas from ai, cognitive science, and control theory. a bwm captures business states, rules, limits, goals, and possible actions to support independent decision-making.
the model uses a business-focused approach where states, changes, and actions tie to key business items. agents can test different action sequences within this framework. they can predict outcomes and choose the best path to reach objectives. this lets ai move beyond simple task automation to strategic planning. the bwm acts as a mental model of the business, letting agents reason about cause and effect in a structured way.
the paper outlines the architecture and core parts of a bwm. it shows how such a model can be built and used. the goal is to give ai systems a deeper understanding of business operations. this could lead to more capable assistants that handle complex, multi-step initiatives. the work sets a foundation for future research on autonomous business agents.
why it matters: it provides a blueprint for ai systems that can plan and optimize real business operations, moving beyond narrow task automation.