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Agentic AI
AI systems that track goals, plan sub-steps and use tools.
Explanation
Agentic AI describes systems that not only respond to a single input, but also actively pursue a multi-stage workflow. They plan intermediate steps, obtain information, use tools and evaluate results.
How it works
A goal is broken down into subtasks. The system decides which information is missing, which tools need to be used and whether a result is sufficiently reliable or whether a human should intervene.
Example
Instead of just composing an email, agentic AI researches the context, creates a draft, updates the CRM and plans the next step.
Why it matters
The term helps to understand the difference between a simple chatbot and a productive AI agent with real process logic.