Abstract:

Financial budget management is an integral part of corporate governance, critically important for managing, controlling, coordinating and assessing internal resources. However, many enterprises still face challenges in financial budgeting, including unscientific target setting, slow execution control and ineffective budget outcome prediction. Although the advancement of digital and intelligent technologies offers strong support for mitigating these issues, it fail to address them fundamentally. Parallel intelligence theory, by creating artificial systems parallel to the real one and leveraging their virtual-real feedback and parallel execution, can realize description, prediction and prescription of financial budgeting, thereby enhancing the scientific accuracy of budget targets, the controllability of the budget process and the reliability of budget outcomes. This paper combined parallel intelligence theory with financial budgeting to propose a new paradigm of parallel financial budgeting. It provided a viable technological framework and theoretical guidance for the deep integration of business and finance as well as intelligent services supported by it in complex environments, fostering intelligent transformation and innovation in corporate financial budget management. The paper delineated the concept of parallel financial budgeting, presented its fundamental framework, and discussed its key characteristics and supporting technologies.

Key words: parallel financial budgeting, parallel intelligence, business-finance integration, intelligent services