Project management specifics in implementing IT infrastructure substitution programs within a commercial bank
https://doi.org/10.46554/1993-0453-2026-9-263-154-164
Abstract
The objective of the article is to study and systematize the specific features of IT project management in commercial banks amidst the emergency substitution of infrastructure software and hardware in 2024–2025. The study is based on the systematic analysis for the regulatory landscape (Bank of Russia requirements for operational resilience and protection of critical information infrastructure) and the analysis for practical experience in migrating high-load transactional systems. The authors substantiate the methodological conflict between strict compliance requirements and the need for agile adaptation to a sovereign technology stack. The scientific novelty of the work lies in the development of a mathematical model for assessing cumulative migration risk 𝑅𝑖𝑛𝑓𝑟𝑎, enabling the implementation of predictive control over migration "maintenance windows". It has been established that an effective solution to the management crisis in the banking sector is the implementation of an organizational ambidexterity model – a synthesis of cascade control of regulatory requirements and an iterative cycle of technological implementation. It is proven that the use of intelligent decision support systems (AI-layer) allows compensating personnel shortages and reducing the probability of critical failures during system switchovers from 18% to 4%. It is concluded that the transition to sovereign intelligent management models is a fundamental condition for ensuring the operational stability of the financial sector.
About the Authors
R. R. SaifudinovRussian Federation
Roman R. Saifudinov – postgraduate student
Moscow
M. K. Khomenko
Russian Federation
Mikhail K. Khomenko – postgraduate student
Moscow
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Review
For citations:
Saifudinov R.R., Khomenko M.K. Project management specifics in implementing IT infrastructure substitution programs within a commercial bank. Vestnik of Samara State University of Economics. 2026;(9):154-164. (In Russ.) https://doi.org/10.46554/1993-0453-2026-9-263-154-164
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