According to HSE University, 4.8% of Russian organizations use neural networks, with the figure rising to 14.9% for companies with over 500 employees. However, full process automation remains a challenge, as 74% of over 700 Russian companies surveyed by MTS Web Services lack a formal AI strategy.
McKinsey reports that only 21% of companies using generative AI have fundamentally redesigned their workflows, which is a key factor for achieving economic impact. Deloitte’s study of 2,770 executives across 14 countries indicates that 55% of organizations have abandoned AI projects due to data-related issues.
Integration with existing IT systems is a major hurdle. A 2025 report by the Association of Managers shows that 57% of executives face difficulties integrating AI with current infrastructure. Additionally, 55% of respondents identify security and data processing as significant concerns.
Russian businesses face specific legal and financial challenges, including compliance with Federal Law No. 152-FZ regarding personal data and the difficulty of paying for foreign AI APIs due to payment restrictions. Companies must navigate tax agent duties for VAT when purchasing foreign electronic services.
Platforms like SpeShu.AI offer a solution by providing access to various models, including ChatGPT, Claude, and DeepSeek, through a single API while allowing payments in rubles. This approach simplifies accounting, contract management, and cost control for Russian entities.
