Artificial Intelligence as a management and productivity tool

Abstract

For many years, Artificial Intelligence (AI) was not a central concern for organisations, being associated mainly with highly specialised technical contexts. Nowadays, however, it is part of the day-to-day operations of many organisations, integrated into tools that support writing, information analysis, communication, and the execution of routine tasks. In the context of business management, the central issue is no longer the adoption of AI itself, but rather how it can be integrated in a conscious, productive, and responsible manner into work and decision-making processes.

In many organisations, the adoption of AI is associated with unrealistic expectations of immediate efficiency gains. However, practical experience shows that its most significant impact does not result from replacing people, but from supporting decision-making, reorganizing work, and reducing repetitive and low-value-added tasks. Productivity increases when technology is applied to concrete and well-defined problems.

The versatility of AI, particularly generative AI, makes it especially relevant for management. The same technology can be used to summarise documents, aid understanding of complex topics, draft initial content, structure reports, or automate frequently asked questions. In a context marked by time constraints and information overload, these features take on strategic importance.

One of the most immediate benefits of using AI lies in information management. The ability to synthesise content and produce executive summaries allows managers to focus on analysis and decision-making. It is important to remember that these tools do not think for decision-makers. They can support analysis and speed up work, but critical evaluation and responsibility remain with people.