Andrey Kalyuzhnyy, CEO of 8allocate, is an AI strategist helping businesses in growth, optimize operations and AI innovation. Agentic AI refers to goal-driven AI systems that act autonomously, learn and adapt beyond traditional automation, which follows rigid rules and predefined tasks without adapting. While agentic AI improves automation with adaptability, decision making and self-learning, it is not necessary for all processes. However, it can be valuable when tasks involve reasoning, real-time adaptability or autonomous decision making in unpredictable environments. By 2028, agentic software is expected to power 33% of enterprise software applications, up from 1% in 2024. Key to adapting to agenticAI is to select the appropriate automation for the work at hand and train employees to collaborate with AI agents, not compete with them. The most common agentic artificial architecture is single AI agents who process data and perform tasks autonomously.
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