Digital maturity of territorial communities as a prerequisite for the implementation of artificial intelligence

Анотація

The article substantiates the role of the digital maturity of territorial communities in shaping the prerequisites for the adoption of artificial intelligence technologies by local self-government bodies. Proceeding from the premise that the availability of such technologies alone does not guarantee their effective and safe use, the study distinguishes between digitisation, digitalisation, digital transformation and digital maturity. The digital maturity of a territorial community is defined as the achieved and reproducible capacity of the local self-government system to integrate digital infrastructure, managerial processes, information resources, staff competencies, institutional mechanisms and digital interaction with residents and business in order to create public value, adapt to change and adopt new technologies in a controlled manner. The empirical basis of the study comprises official data of the Diia.Digital Community portal and reports of the Ministry of Digital Transformation of Ukraine on the Index of Digital Transformation of Territorial Communities. It is established that the average value of the Index rose from 16 points out of 100 in the first quarter of 2025 to 27 points in the second quarter, although this growth is partly explained by the expansion of the group of participating communities from 939 to 1,265. Communities demonstrate their best results in the digitalisation of public services and the development of digital skills, whereas digital infrastructure and the digital economy remain the weakest components. It is shown that 90% of local self-government employees are provided with personal computers, yet only 45% of the equipment is less than five years old; electronic document management operates in 712 communities, and the position of digital leader has been introduced in 131 communities. Based on the analysis, a matrix matching the components of the Index with possible areas of artificial intelligence application has been constructed, recording the prerequisites, potential fields of use and key constraints for each component. A sequence of steps for preparing a community for the adoption of intelligent technologies is formulated: streamlining digital processes, inventorying and standardising data, assigning institutional responsibility, starting with low-risk solutions, and evaluating the results of pilot projects. It is argued that the key constraints of the transition are the shortage of data literacy, the fragmentation of information systems and cyber risks rather than the lack of technologies as such.

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