Artificial intelligence has ceased to be just a supporting tool for IT teams, it’s becoming their active partner. Increasingly, we hear about so-called AI agents — intelligent systems (or “employees”) capable of independently analyzing data, making decisions, and taking action on behalf of humans. This is no longer a technological experiment but a practical solution that is truly changing how organizations manage their infrastructure and processes.

What is an AI agent and what can it do?

The easiest way to explain an AI agent is to compare it to a virtual employee. Unlike a typical AI chatbot, a virtual employee can actually do things within a company.

AI agents harness the power of large language models, machine learning, and process automation. They can not only respond to system events but also predict what might happen next. They analyze logs, monitor resources, optimize performance, and communicate naturally — as if they were part of the team. An IT engineer might type: “Check why the database is running slow” — and the agent will execute the command, find the cause, and suggest a solution.

How AI agents are changing the everyday work of IT teams

The greatest strength of AI agents lies in their ability to act proactively. Traditional systems would only react once something went wrong. AI agents, however, learn the behavioral patterns of infrastructure and can predict failures before they occur. As a result, system maintenance becomes more stable, and incident response times shrink from hours to minutes.

Companies that have already implemented AI agents are seeing major benefits — not just technological but also organizational. IT teams can now focus on strategy and innovation instead of firefighting. The role of IT specialists is evolving — from operators to architects collaborating with intelligent tools that handle repetitive tasks.

In DevOps environments, AI agents support testing and deployment processes by analyzing errors and recommending fixes. In security, they act as vigilant guardians, detecting anomalies and preventing potential attacks. Within IT infrastructure, they handle automatic resource scaling, backup scheduling, and cost optimization. They save time and reduce the risk of human error — a real force multiplier.

Human–machine collaboration

The rise of AI agents doesn’t mean humans are becoming obsolete. Quite the opposite — their role is evolving. This is the “human-in-the-loop” model, where humans and AI work together as one team. The IT specialist supervises the agents, sets priorities, interprets data, and makes strategic decisions, while the agent performs operations, analyzes results, and proposes solutions.

It’s a new way of working — one that combines the speed and precision of machines with human intuition and experience. This synergy makes organizations more agile and resilient to unexpected challenges.

The Future: Intelligent ecosystems of AI agents

The direction of AI agent technology is clear. Individual agents are evolving into integrated ecosystems where multiple entities collaborate, sharing knowledge and tasks. One agent might handle security, another performance, and another cost optimization or compliance. Together, they form an intelligent organism that manages company infrastructure dynamically and autonomously.

Organizations investing in this technology today are gaining a significant competitive advantage. In the long term, AI agents will become standard — much like virtualization or the cloud once did. Their implementation marks not just another step toward automation but the foundation for future self-learning IT systems.

Summary

AI agents are not a distant concept but a practical technology that is already transforming IT management in 2025. They help organizations respond to problems faster, predict failures, improve security, and optimize costs. Most importantly, they allow IT teams to focus on what truly matters — innovation and growth.

If you want to learn more about how AI agents work, how to implement them, and what benefits they can bring to your organization, download our e-book “AI Agents in Practice.” Inside, you’ll find real-world examples, architectural overviews, and practical guidance for starting your transformation.

Download our AI agents e-book today!