agentic

What Is Agentic AI? A Clear Explanation for Business Leaders

Native AI · 26.04.2026

Agentic AI is the most significant shift in artificial intelligence since ChatGPT. But what does it actually mean, and why should business leaders care?

From Assistants to Agents

Traditional AI tools like ChatGPT respond to your questions. You ask, they answer. Agentic AI is different: it acts autonomously. An AI agent receives a goal, breaks it down into steps, executes those steps, evaluates the results, and adjusts its approach — all without human intervention for each step.

Real-World Example

Imagine telling an AI: "Find the cheapest flight from Munich to London next Tuesday, book it, add it to my calendar, and send the confirmation to my assistant." A chatbot would give you search results. An AI agent would actually do all of it.

The Technology Behind It

Agentic AI relies on three key innovations: Large Language Models (LLMs) for reasoning and planning, tool use (the ability to call APIs, search the web, write code), and memory (remembering context across multiple interactions). Protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) enable agents to communicate with external systems and with each other.

Why It Matters for European Businesses

European companies face unique challenges: strict data sovereignty requirements, GDPR compliance, and now the EU AI Act. Agentic AI offers a way to automate complex processes while maintaining human oversight — if implemented correctly. The key is building AI natively into processes, not bolting it on as an afterthought.

Getting Started

Start with well-defined, repetitive processes: IT ticket routing, invoice processing, customer onboarding. These are ideal candidates for AI agents because they have clear inputs, defined steps, and measurable outcomes. Scale gradually and always maintain human oversight for critical decisions.

Agentic AI in IT Service Management

One of the most promising applications of agentic AI is IT service management. Companies like Serviceware are building AI agents that autonomously handle support tickets: classifying the issue, searching the knowledge base, suggesting solutions, and escalating to a human only when necessary. The key principle: the AI is built into the process from the start, not added as a chatbot overlay.

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