Subject. The expediency of implementing an intelligent FP&A platform in a small-scale company and the methodology for calculating investment indicators to assess the economic feasibility of such a project. Objectives. Building a model for assessing the economic feasibility of implementing an intelligent FP&A platform in a company with revenue of 80 million rubles, which allows us to move from describing a digital solution to quantifying its investment effectiveness. Methods. The methods of scientific knowledge, scenario analysis, comparative analysis, and financial modeling are used. Results. Based on the developed model, a comprehensive assessment of the economic feasibility of implementing an intelligent FP&A platform in a small-scale company was carried out, and the structure of capital and operating costs was detailed based on public market indicators. The economic effect was modeled, taking into account the productivity growth not only of financial specialists, but also of managers involved in planning and forecasting processes. Conclusions. Implementation of an intelligent FP&A platform in a company with annual revenue of 80 million rubles. it is economically feasible. The practical significance of the research lies in the development of a methodological approach that makes it possible to move from a qualitative description of the advantages of digital solutions to a quantitative assessment. The proposed model serves as the basis for making informed management decisions and can be adapted to the specifics of a particular organization.
Keywords: digital transformation, FP&A platform, financial planning and analysis, small business, investment efficiency
References:
Vladyka M.V., Stryabkova E.A., Goncharenko T.V. [Enhancing the application of digital technologies in the financial sphere]. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki, 2021, vol. 14, no. 1, pp. 84–96. (In Russ.) DOI: 10.18721/JE.14107 EDN: LZJHWP
Pashtova L.G. [Financial architecture of corporations in digital reality]. Finansy i kredit, 2023, vol. 29, no. 3, pp. 507–526. (In Russ.) DOI: 10.24891/fc.29.3.507 EDN: PWQHEZ
Mergasova L.S. [The relevance of Peter Drucker's Knowledge Society concept]. Sistema tsennostei sovremennogo obshchestva, 2010, no. 15, pp. 349–352. (In Russ.) EDN: RUKIMH
Russel S.J., Norvig P. Iskusstvennyi intellekt: sovremennyi podkhod [Artificial Intelligence: A Modern Approach]. Moscow, Vil'yams Publ., 2006, 1408 p.
Pashtova L.G. [Digital financial assets: Usage prospects]. Finansy, 2024, no. 1, pp. 46–52. (In Russ.) EDN: EESXFT.
Kapranova L.D., Abdikeev N.M., Bekulova S.R. [Features and problems of formation of production and technological chains in the digital space of industry]. Problemy ekonomiki i yuridicheskoi praktiki, 2024, vol. 20, no. 5, pp. 123–133. (In Russ.) DOI: 10.33693/2541-8025-2024-20-5-123-133 EDN: KAJFAE
Mitsich A.D. [Analysis of digital technologies application in financial management of organizations]. Vestnik Evraziiskoi nauki, 2025, vol. 17, no. S2. (In Russ.) EDN: NDGNUF
Rosati P., Fowley F., Pahl C. et al. Right Scaling for Right Pricing: A Case Study on Total Cost of Ownership Measurement for Cloud Migration. In: Cloud Computing and Services Science. Vol. 1073. Springer, Cham, 2019, pp. 190–214. DOI: 10.1007/978-3-030-29193-8_10
Denisova E.V. Kiryutkin A.S. [Assessment of the efficiency of investment projects in substantiating the desired economic feasibility]. Vestnik Altaiskoi akademii ekonomiki i prava, 2025, no. 2, pp. 58–63. (In Russ.) DOI: 10.17513/vaael.3981 EDN: MNMUTC
