The use of AI agents in Russia in 2025. Prospects for 2026
Content
Introduction: Why businesses turn to AI agents
What are AI agents and how do they differ from regular AI chatbots?
The use of AI agents in Russia in 2025
How AI agents are changing corporate processes
Limitations and barriers to implementation
Prospects and development directions for 2026
What does this mean for Russian companies?
Conclusion
Introduction: Why businesses turn to AI agents
In 2025, companies in Russia found themselves at the intersection of two processes: accelerating digitalization and increasing the cost of manual labor. In such circumstances, organizations are increasingly looking for tools that can not only help employees, but also do some of the work themselves. That is why AI agent technologies are becoming one of the key topics of business intelligence and corporate automation.
AI agents are interesting not only as a technological innovation. Their main value lies in the ability to act autonomously, understand the context, comply with regulations, and interact with other systems as confidently as a human does.
This explains the growing demand for the "use of AI agents" — a request that has firmly entrenched itself in the corporate agenda of 2024-2025 and will become one of the main ones in 2026.
What are AI agents and how do they differ from regular AI chatbots?
An AI agent is a software system based on large language models (LLM) that is able to perform tasks based on goals, rules, and available tools. Unlike a classic chatbot, such an agent is not limited to a simple dialogue or providing background information. He analyzes the data, makes a decision, chooses an action and starts the process — that is, he not only responds, but also does it.
The difference between the two approaches becomes especially noticeable in tasks where dialogue is only a small part of the work. Where a regular chatbot completes the interaction, the AI agent continues on its way: fills out documents, creates an application, updates CRM, checks statuses, and generates a report.
This functionality radically changes the approach to automation: the business gets not a communication tool, but a performer.
The use of AI agents in Russia in 2025
The technology has moved from the experimental stage to the applied one. Companies are starting to introduce AI agents into processes that require speed, discipline, and repeatability.
In the field of customer service, agents analyze the request, clarify the data, open applications in the service systems and record the result. If necessary, they access internal databases, check order statuses, and return a structured response to the customer. This model reduces the burden on operators and improves the speed of service.
In sales departments, AI agents accompany the client's work cycle: they qualify leads, establish contact, evaluate the likelihood of a deal, and formulate tasks for the manager. The system acts as a disciplining mechanism and eliminates the human factor: applications are not lost, deadlines are not missed, and reports are generated automatically.
In legal and administrative processes, agents form contracts, prepare protocols, create technical specifications, and monitor document versions. In large companies, solutions are emerging where the agent works as a "documentation assistant" — he analyzes the contents of the file, determines the type of document and suggests a suitable structure.
In analytics, AI agents automatically collect data from different systems, verify metrics, prepare a report and visualization. Where previously employees needed hours, now a few minutes are enough: the agent combines data from CRM, ERP and BI systems.
In HR processes, an agent conducts an initial interview, analyzes a resume, creates a candidate profile, and makes recommendations on meeting the requirements of the position. At the stages of employee adaptation, the agent helps to get acquainted with the regulations and answers questions from the new employee.
In technical support, AI agents monitor infrastructure events, identify anomalies, generate tickets, and pass them on to responsible specialists. The first pilot projects show the ability to transfer basic actions to restore system health to agents.
In marketing, AI agents analyze the audience, form publications, create media plans, and prepare creative materials. An approach has become widespread in which the agent automatically collects campaign statistics and suggests strategy adjustments.
All these areas take the use of AI agents beyond the usual communication scenarios — the technology becomes part of the company's operating model.
How AI agents are changing corporate processes
In 2025, companies began to perceive AI agents as a tool for discipline and process management. The agent does not forget, does not get tired, follows the instructions and consistently repeats the sequence of actions. It is this predictability that allows you to transfer critical steps to him, and for employees to focus on more complex tasks.
The changes in the distribution of roles are particularly noticeable. A human accepts exceptions, an AI agent accepts routine. Organizations that have implemented this model note an increase in process transparency, a reduction in errors, and an increase in execution speed.
Limitations and barriers to implementation
Despite the rapid development of the market, there are a number of factors constraining the use of AI agents.
Companies face a lack of systematic data preparation: in order for an agent to work efficiently, he needs access to up-to-date CRM, internal databases and corporate rules. The fragmentation of data reduces the benefits of implementation.
Another barrier is the limited number of qualified integrators. Models are becoming more accessible, but full integration into the business process requires engineering skills, attention to security, and a deep understanding of the enterprise architecture.
The conservatism of some organizations remains a limiting factor. Many companies still prefer point-to-point implementations: automation of individual tasks or areas without switching to systematic work with AI.
Prospects and development directions for 2026
In 2026, the market expects a transition from experimental implementations to full-fledged corporate ecosystems of AI agents. This transformation will affect every line of business.
One of the key trends will be the integration of agents directly into corporate systems: CRM, ERP, helpdesk platforms, document management services. The AI agent will no longer be an external tool — it will become a standard piece of software that performs tasks automatically.
Companies will start using bundles of agents. Within one process, several specialized performers will appear: an analytical agent, a customer communication agent, a technical agent, and a control agent. This model will lead to the emergence of a full-fledged "agent team".
The development of API integrations will accelerate the implementation of AI agents in industry, logistics and finance. Solutions will begin to interact more deeply with equipment, sensors, and robotic systems. Scenarios for managing physical devices will appear: courier robots, warehouse complexes, and transport modules.
New professional roles are expected to be formed: AI agent operator and interaction engineer. These specialists will be responsible for setting up instructions, monitoring business rules, updating agent knowledge, and analyzing work results.
The development of the regulatory framework will play an important role. Clearer requirements for decision transparency and data security will open up opportunities for mass adoption in the banking sector, logistics, education and medicine.
What does this mean for Russian companies?
AI agents are becoming part of the business infrastructure. The technology is no longer auxiliary and is gradually turning into a new level of automation that combines human flexibility and machine discipline.
For companies, this means that the time to "observe from the sidelines" is running out. In 2026, organizations that have implemented AI agents earlier than others will gain a sustainable competitive advantage.: speed of decision-making, better quality of service, lower costs and predictability of processes.
Conclusion
The use of AI agents in Russia in 2025 has become a significant stage in the development of corporate automation. The business is moving from the point-to-point use of artificial intelligence to system work, where the AI agent is a full-fledged participant in the processes.
In 2026, the market expects to expand the scope of applications, strengthen integrations, form agent teams and develop standards. This creates the basis for a new digital infrastructure where human-AI interaction becomes a natural part of daily work.