ORGANIZATIONAL AND METHODOLOGICAL PRINCIPLES OF FORMING A FLEXIBLE ACCOUNTING SYSTEM IN THE CONDITIONS OF DIGITAL TRANSFORMATION AND RISK-ORIENTED MANAGEMENT

Abstract

This paper aims to theoretically substantiate the concept of an Agile Accounting System (AAS) and develop a comprehensive organizational and methodological model for its implementation, focusing on the integration of a risk-oriented approach amidst ongoing digital transformation. The research utilizes a systematic analysis of theoretical foundations of accounting organization (structure, methodology, technique) and contrasts the traditional hierarchical model with the modern AAS. The core methodology involves adopting the COSO framework to design preventive control mechanisms. The proposed organizational model relies on the conceptual shift from specialized departments to cross-functional Agile teams to enhance speed and adaptability. The study confirms that digital technologies (ERP, AI) act as a technical catalyst for transforming accounting roles from transaction processors to strategic analysts. The key finding is the introduction of a new organizational mechanism: the systematic integration of In-line Controls (automated rules embedded in the ERP system) that manage high-risk transactions. This methodological shift allows the internal audit function to transition to Continuous Auditing, concentrating resources solely on anomalies and exceptions rather than routine checks. This transformation fundamentally redefines the technical element of accounting organization. It mandates a shift from siloed, legacy accounting systems to fully integrated Cloud ERP platforms, which enable the continuous processing of data from source to financial statement. Crucially, the reliance on Artificial Intelligence (AI) and Machine Learning (ML) for predictive analytics and automated fraud detection places new demands on the accounting staff. The contemporary accountant must now possess a hybrid skillset, combining traditional financial expertise with data governance and IT control validation capabilities. This organizational imperative necessitates robust training and the creation of new roles, such as the Financial Data Scientist or the IT-Control Analyst, to effectively manage the complex ecosystem of digital controls and ensure the reliability of the system's output. The paper contributes to accounting theory by proposing a unique Risk-Agile organizational model that addresses the trade-off between speed (Agile) and reliability (Risk-Oriented Control). For practitioners, the findings offer a practical roadmap for restructuring accounting departments into efficient Shared Services Centers supported by automated controls, significantly reducing financial reporting timelines (Fast Close) while maintaining compliance. The originality lies in the comprehensive organizational-methodological linkage established between the structural flexibility of Agile teams and the methodological rigor of risk management, realized through technology-driven In-line Controls.