While the business world continues to master the capabilities of traditional automation and basic AI assistants, a new, even more powerful technological wave is already rising on the horizon – Agentic AI. An in-depth analytical article published on May 16, 2025, by the authoritative publication AiThority is dedicated to this very topic. Experts assert: this is not about another stage of automating routine tasks, but a fundamental shift in how companies will orchestrate their workflows, moving from rigid scripts to flexible delegation of authority to intelligent systems.
What is Agentic AI in AiThoritys understanding, and why is it so important? These are no longer just tools executing predefined commands. These are proactive AI systems capable of dynamically coordinating complex multi-step tasks, adapting to real-time signals from the real world, and independently pursuing set goals with minimal human intervention. If automation previously resembled writing a detailed script for a performer, working with agentic AI is more like delegating a task to a smart and proactive employee who will find the optimal ways to solve it themselves. This opens up entirely new prospects for optimizing operations in sales, marketing, customer service, and many other areas.
Particular attention in the AiThority article is given to the new wave of architectures for creating such intelligent agents. Frameworks and projects such as AutoGen (from Microsoft), MetaGPT, CrewAI, LangGraph, and BeeAI are mentioned. Each of these platforms offers its own approaches to building more flexible, intelligent, and robust systems for task execution. They allow for the creation of chains of specialized AI agents that can interact with each other, exchange information, and collectively work towards a common goal. This ensures not only high accuracy and relevance of results but also such important operational advantages as observability (the ability to track the agents decision-making process), inspectability (the ability to analyze its actions), and discoverability (the ability to find new, non-obvious solutions).
The practical benefits of implementing Agentic AI are enormous. For example, complex tasks such as multi-step autonomous internet research, collecting and synthesizing data from various sources, which previously required hours of manual labor by highly skilled specialists, can now be completed in minutes. This frees up human resources for more creative and strategic tasks. However, as AiThority notes, true progress is measured not by the mere adoption of every new tool, but by how effectively these technologies are applied to create tangible value. The transition to agentic AI requires not only technological readiness but also a change in mindset, a willingness to trust intelligent systems, and the development of new models of human-machine interaction. It is this shift, according to experts, that will be decisive for business success in the near future.