automating tasks, and streamlining specific processes. However, this perspective is becoming obsolete as a new generation of agents begins to emerge. These agents can actively collaborate with professionals by making well-reasoned decisions independently, profoundly transforming how organizations operate and make business decisions using AI.
As a result, these agents are no longer simply delivering results; they can now autonomously reflect, interact, and delve deeper into their own processes. This shift moves the needle from basic automation to sophisticated problem-solving. By tackling complex tasks that challenge traditional engines, these agents provide the transparency necessary for “human-in-the-loop” collaboration across all business sectors. In fact, this is one of the trends identified in the Data, Analytics & AI Trends 2026 report produced by Orbitae, the SDG Group’s brand dedicated to driving AI innovation.
Unlike traditional agents based primarily on generative AI, which focus on producing responses to specific user requests, so-called agentic models combine several key capabilities that go far beyond this. These include:
All of this allows teams to begin viewing agentic AI systems as members of the workforce, as they can understand business context, contributing to decision-making, learning, and anticipating future needs. Naturally, this turning point is already redefining how intelligent agents are understood.
In fact, Gartner estimates that by 2028, at least 15% of everyday workplace decisions will be made autonomously through agentic AI agents. This represents a major opportunity for companies to get ahead of the curve and begin integrating these technological solutions into their processes. Otherwise, it will become a competitive challenge for organizations that continue to turn their backs on AI, operating at a disadvantage compared to teams that include these highly capable digital companions in their workforce.
Meanwhile, nearly a third of corporate software applications are expected to incorporate agentic AI into their systems – a significant leap considering that in 2024 the figure was virtually nonexistent (less than 1%). As a result, agentic AI-based tools capable of integrating with the systems businesses already have in place will play a vital role in the years ahead.
The proliferation of agentic AI and digital companions will enable organizations to achieve greater agility and efficiency, and above all increase their chances of success in a highly competitive market. This is because AI can enhance strategic decision-making while reducing costs associated with errors caused by biased judgment.
To ensure organizations and teams are prepared to integrate these digital companions into their processes, it is crucial to redesign business workflows to facilitate effective collaboration between humans and AI agents. In this context, training and an innovative mindset will be key to making the most of this opportunity. The goal is not to replace professionals with these new digital workers, but to increase their productive capacity and give them the space to focus on higher-impact tasks.
Ultimately, the momentum behind agentic AI signals a shift far beyond simple automation; it represents a fundamental leap in individual productivity. By offloading complex reasoning and execution to autonomous agents, the output of a single employee or engineer can be exponentially amplified. The decisive factor will be this intelligent, complementary collaboration – where human talent guides technological potential to achieve what was previously impossible.
It is now up to businesses to turn this unprecedented level of efficiency into reality.