Multi-Agent Systems in Public and Corporate Governance: Ensuring Technological Sovereignty

R. V. Kirichek (), O. V. Kalimullina () and P. A. Basin ()

Administrative Consulting, 2026, issue 5

Abstract: This study is devoted to a comprehensive analysis of the processes of implementing multi-agent systems (MAS) in management and production structures. The Chinese experience is considered in detail as an example of the most consistent government strategy in this area, including policy-making mechanisms (the AI+ plan, KPIs for state-owned companies and regions), a mass training system, and examples of implementation in the corporate sector. In the context of Russian practice, a three-level vertical of AI development management and the functionality of an Automated Decision Management System are analyzed, which acts as an infrastructural basis for data unification, ensuring technological sovereignty and creating trainable models for regional management. Much attention is paid to analyzing the risks of the transition to MAS, such as technical vulnerabilities, organizational barriers, and critical risks of dependence on foreign vendors. The paper also distinguishes between processes that are subject and not subject to automation in the current conditions. As a result of the research, practical recommendations are formulated for the formation of datasets, the elimination of dependence on the vendor and the phased implementation of MAS, focusing on architectural independence, a multi-vendor strategy and maintaining human control over critical functions.

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.acjournal.ru/jour/article/viewFile/3065/2175 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:acf:journl:y:2026:id:3065

Access Statistics for this article

More articles in Administrative Consulting from Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management.
Bibliographic data for series maintained by ().