Architecture of hyperautomation of organisational and economic mechanism in the processes of balanced development of the regional socio-economic system

A comprehensive study of the role of information and digital technologies in business process management (hereinafter referred to as BPM) has been considered in the context of the evolution and development of the BPM concept and its integration into the organisational and economic mechanism of balanced development of regional socio-economic systems (hereinafter referred to RSES). It is emphasised that digitalisation of process management in modern conditions becomes an integral element of strategic regional governance, enabling coordination of actions among all participants, prompt response to changes in the external environment, and the creation of conditions for sustainable growth. The paper substantiates the legitimacy, relevance, and practical necessity of applying BPM systems in the management of RSES, with particular attention to their functionality for automation, modelling, optimisation, and real-time monitoring of business processes. The key features of BPM systems as tools for the digital transformation of regional management are revealed: ensuring transparency of administrative procedures, reducing costs, increasing adaptability to economic and social challenges, and forming a unified information space for interaction between authorities, businesses, and the public. Special attention is given to current trends in BPM technology development, including process hyperautomation, the implementation of next- generation electronic document management systems, the integration of enterprise resource planning platforms, and the transition to comprehensive BPMS (business process management system) solutions that provide end-to-end lifecycle management of processes. The role of the Six Sigma methodology 
in ensuring high quality and predictability of business processes is considered along with opportunities to combine the process approach with artificial intelligence tools and big data analytics.

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