Collaboration Between AI Agents: The New Universal Standard

Artificial intelligence is undergoing a stage of maturity that is beginning to reshape the operational core of organizations. While we have witnessed the evolution from early AI models to today’s generative capabilities, the next frontier — and perhaps one of the most impactful for companies today — is that of AI agents. Far from being simple chatbots or automation tools, these systems can perform complex tasks on our behalf with a high degree of autonomy. 

This form of technological delegation presents a new horizon for designing processes, structures, and strategies within companies. In fact, in Gartner’s most recent global CIO survey, artificial intelligence is not just an option but the primary area where technology leaders plan to increase investment. Their goal is clear: 74% seek a direct improvement in organizational productivity — the very value that AI agents can unlock at scale. 

AI agents function as intelligent systems that, powered by artificial intelligence, can make decisions and perform tasks independently, adapting to different situations to achieve specific objectives. They exhibit traits such as memory, planning, and reasoning, enabling them to act beyond pre-programmed rules. This approach makes them natural allies for organizations seeking efficiency, adaptability, and speed without compromising governance or operational control. 

One of the most relevant aspects of this technology is its ability to integrate directly into existing tech environments. Agents do not require system replacement or generate friction with current platforms. They connect to databases, enterprise applications, documentation sources, or already-implemented workflows. This high compatibility accelerates their adoption without modifying core architecture or disrupting critical processes. 

Furthermore, the design of these agents is based on key principles: interoperability, scalability, and privacy. This means they can operate in ecosystems where multiple providers and technologies coexist, comply with data sovereignty and security regulations, and scale flexibly as business needs grow. This open architecture enables agents to organically embed into complex organizational structures. 

A core attribute of these systems is their customizability. It is now feasible to develop agents tailored to the needs of each team, unit, or function using both visual tools and code-based development. This flexibility facilitates the use of artificial intelligence, allowing both technical and non-technical profiles to contribute to the creation of intelligent solutions. 

The creation of environments where multiple agents work together is also being enabled. This collaborative approach allows specific tasks to be delegated to different agents that interact with each other, increasing efficiency and enabling orchestration of more complex processes. Communication between agents can occur via open protocols, reinforcing interoperability and avoiding dependency on closed technologies. 

The adoption of AI agents is not limited to technical areas. One of the most promising directions is their transversal use across the organization. From data analytics environments

and administrative processes to customer service, creative functions, or regulatory compliance, agents are beginning to play active roles across a wide range of tasks. This generates new opportunities to rethink work distribution and focus human time on strategic tasks. 

An important step is to grant every employee direct access to AI agents. By developing no-code interfaces that allow users without technical backgrounds to build, modify, or adapt agents to their own workflows, not only is individual productivity increased, but a culture of distributed innovation is also fostered, where each person can amplify their impact through intelligent tools. 

Recent cases show how agents are already helping to reduce process times that once took days, automate audits, improve customer interactions, or generate complex analyses through conversational interfaces. These implementations are generating tangible benefits in terms of cost, speed, and service quality. 

AI agents impact various areas of an organization. They enhance customer experience with personalized and efficient interactions; empower creative teams by accelerating multimodal content generation; and facilitate data analysis for both business users and specialists. Additionally, they optimize developer productivity across the software lifecycle and strengthen cybersecurity by automating threat analysis for faster response. 

The architecture behind these systems has been developed to meet high standards of transparency, traceability, and control. Every action taken by an agent can be audited, reviewed, and explained. This principle of explainability is key to maintaining organizational trust and complying with current regulatory frameworks. 

As these capabilities expand, new possibilities also emerge for organizational design. Agents are not here to occupy “positions,” but to collaborate in systems where humans and technology interact in a complementary manner. This implies a transition toward hybrid structures, where teams extend beyond the human workforce by incorporating digital entities with specific roles. 

For this integration to be successful, organizations must develop not only technical capabilities but also a new leadership vision. Managing an environment where intelligent agents operate requires skills to interpret their functioning, supervise their behavior, and align their performance with the organization’s strategic goals. 

The potential of AI agents is vast, but their adoption must be approached with intention, planning, and responsibility. Organizations that understand this technology not just as a tool but as an intelligent extension of their capabilities will be better positioned to respond with agility, scale with confidence, and compete with vision in the coming years. 

Beyond the technology itself, AI agents invite us to rethink how we organize work, create value, and collaborate. The future will not be defined by the tools we use, but by how we integrate them into our cultures, processes, and decisions. In this sense, agents represent a new frontier — not just a technological evolution, but another step in the digital maturity of our organizations.