AI agents: How intelligent automation is transforming work and business

From customer service to decision-making: What AI agents can do

While a chatbot is limited to answering questions, an AI agent connected to the right systems can consult data, identify replenishment needs, and automatically initiate the next steps of a process. The key difference lies in autonomy: the agent can chain actions to achieve a result without a person manually conducting each step.

The AI agent market is growing rapidly

A study by Blip predicts that the global AI agent market will grow from $7.9 billion in 2025 to $196 billion in 2030. This represents an increase of more than 25 times, with an average annual growth rate of 70.2%. This growth helps explain why companies are adopting a technology capable of receiving a goal, defining steps, and executing actions across different tools, rather than just producing a response.

Start with tasks, not technology

The best way to prepare an organization for AI agents is to analyze current workflows. Repetitive processes that require information queries, option comparisons, and multiple consecutive steps are natural candidates for automation. However, before implementation, it is essential to map how the activity works today: what information is needed, which systems must be accessed, where human decision is indispensable, and how to handle non-standard situations. Answering these questions helps distinguish what can be delegated from what still requires human judgment.

Skills that are becoming more important in the age of agents

As more operational tasks are delegated to agents, certain skills become even more valuable. Clearly defining goals and evaluating whether the result produced is correct are essential, as is knowing when a decision should be returned to a person. Deep knowledge of one’s own business or field of work also matters: those who understand the processes, data, and quality criteria can better supervise the work performed by agents.

Autonomy requires limits and responsibility

The more freedom an agent is given, the greater the need to establish clear limits. A system authorized only to consult data differs from one that can modify records, send messages, or move financial resources. Issues of identity, authorization, and responsibility accompany the expansion of agents. If an action is executed on behalf of a person or company, it is essential to know who authorized the operation and what limits were set.

Professional preparation: delegate, supervise, and decide

For professionals, preparation begins before handing over tasks to AI. It is essential to understand one’s own work well enough to know what can be delegated, what must be supervised, and what still requires human decision. This perspective allows one to take advantage of the benefits of automation without losing control over the results.