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AI and agentic systems

Agentic AI

Agentic AI is an approach where AI doesn't just answer but acts on its own: it plans, calls tools, works with data and completes multi-step tasks with minimal human intervention.

An agentic system consists of one or more AI agents, rules about what they may do, and connections to company systems. In 2026 it is the main direction enterprise AI is moving in.

What it means for your business

The difference from "AI in the company" of 2024: back then people wrote prompts, today an agent handles the whole process. That makes knowing what runs where, and with what data, even more important.

Related terms

AI agent

A program built on a language model that gets a goal, not just a question.

MCP (Model Context Protocol)

The open standard that connects AI models to your tools and data.

AI governance

The rules for who may build and run AI in the company, and how.

Shadow AI

AI tools and apps your employees build and run without IT knowing.

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