MTS Web Services is in the process of creating an artificial intelligence entity
In the current business landscape, the adoption of AI agents is accelerating globally, including sectors relevant to Russia. Although widespread use is still in its early stages, more organizations are planning to adopt AI agents in the near future rather than currently using them. By 2027, a significant increase in deployment is forecasted, particularly in functions like customer service, sales, marketing, finance, and accounting [1].
In the Russian market, AI agent adoption is nascent but poised for rapid growth. The global trends in AI agent adoption can be reasonably extrapolated to the Russian market, given Russia's active engagement in AI research and digital transformation. Russian businesses, particularly in technology-driven sectors and startups, are likely to follow global patterns, gradually increasing AI agent deployment by 2027 to keep competitive, especially in automating customer interactions, finance, and operational processes [2].
One notable example of AI agent adoption in Russia is the MWS Agent system. This system, with its modular approach, ensures high accuracy of solutions and scalability for implementation in different business scenarios. The MWS Agent system is capable of analyzing large volumes of data and performing a wide range of tasks, including financial analysis and travel planning [3].
Hybrid teams consisting of human specialists and AI colleague agents may emerge in the future, showing high efficiency. The first product launches using GenAI in 2024 have already secured 670 million rubles in annual revenue [4].
AI agents are not just a trend, but a real source of sustainable growth for companies, according to Pavel Voronin, the general director of MTS Web Services. By 2027, up to 50% of Russian companies are expected to start using generative AI and AI agents [5].
The use of agents is expected to accelerate the launch of new services, transform the customer experience through personalized interaction, and simplify employee work. MTS Web Services is currently testing the MWS Agent system for a wide range of tasks, including data analysis, visualization, website and web application development, working with patent databases, and solving administrative issues such as organizing business trips [6].
Andrei Rybinets, Director of Artificial Intelligence at Avito, plans to invest around 12 billion rubles in generative AI technologies by 2028 and generate over 21 billion rubles in revenue from their use [7]. After the internal pilot, MTS Web Services plans to prepare customization of the solution for external clients.
AI agents are already being actively implemented in various sectors such as IT, the agro-industrial complex, mining, transportation and logistics, and there is growing interest in the technology in retail and oil refining [8]. As confidence and trust improve and use cases demonstrate clear ROI in automation and decision support, AI agent adoption is expected to become mainstream, making them a crucial component of business workflows [2].
However, alongside adoption growth, organizations will need to address risks related to data security, privacy, and ethical usage of AI, which will prompt evolving governance frameworks and security investments [4].
In conclusion, the adoption of AI agents in Russian businesses is poised for rapid growth by 2027, driven by demonstrated efficiency gains, expanding tool availability, and increasing organizational readiness for intelligent automation.
Artificial-intelligence (AI) agents are set to experience significant deployment in the Russian market, particularly in sectors like customer service, sales, marketing, finance, and accounting, following global trends and Russia's active engagement in AI research and digital transformation. The adoption of AI agents is not only a trend but a real source of sustainable growth for Russian companies, as highlighted by Pavel Voronin, the general director of MTS Web Services, with up to 50% of Russian companies expected to start using generative AI and AI agents by 2027.
