An AI Agent is a system designed to execute specific tasks with some degree of autonomy. Unlike Large Language Models (LLMs), which primarily respond to specific instructions, AI Agents are designed to perceive their environment, process information, make autonomous decisions and take proactive actions to achieve specific goals. In addition, they are able to dynamically adapt to unforeseen changes or challenges, continuously learning from their experiences.
The autonomy of AI Agents is based on three fundamental characteristics:
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Proactive Planning and Execution: AI Agents do not simply react to isolated instructions; they set clear objectives and plan how to achieve them, breaking down complex tasks into manageable steps, anticipating obstacles and adjusting their approach in real time.
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Advanced Reasoning and Continuous Learning: They use sophisticated reasoning strategies, such as “Chain of Thought”, to analyze situations, infer conclusions and decide on the most effective actions. They incorporate different types of memory (declarative, procedural and working) that allow them to learn from previous experiences, generalize knowledge, and continuously improve their performance.
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Integration with Tools and Data Sources: AI Agents integrate effectively with external tools, APIs and various data sources, enabling them to access and process information from multiple systems and environments, thus extending their range of practical application.
Recognizing the transformative potential of AI Agents, Globant Enterprise AI introduces Globant Enterprise AI Lab: a platform specialized in simplifying the creation, configuration and management of these intelligent systems. Globant Enterprise AI Lab not only facilitates the creation of Agents, but also drives new, future-oriented ways of working.
Globant Enterprise AI Lab allows you to define the type of Agent required through a simple and conversational interaction.
Through this platform, it is possible to configure in detail:
- The specific tasks to be solved by the Agent.
- The most appropriate reasoning model for each task.
- The thinking strategies to be used by the Agent.
Each configured Agent is clearly represented in JSON format, thus facilitating its evaluation and direct testing on the platform.
Once created and validated, Globant Enterprise AI Lab also makes it possible to publish the Agent for widespread use, integrating it into automated business processes and workflows that require human interaction.
This allows to effectively combine automated tasks performed by autonomous Agents with those activities executed by people, creating agile, collaborative and future-oriented work dynamics.
Since April 2025 release.