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.
What is agentic AI? A definition
Agentic AI refers to AI systems that pursue a goal with a degree of autonomy. They break a task into steps, decide what to do next, use tools and check their own intermediate results, instead of answering one prompt at a time. The term describes an architecture more than a new technology: a language model combined with tools, memory and rules becomes a system that acts.
Autonomy is a spectrum. At one end is an assistant that suggests actions for a human to carry out. At the other is an agent that operates inside business systems on its own. Most production use cases deliberately sit in between and require human approval for critical actions.
Agentic AI vs. generative AI vs. AI agents
Generative AI creates content on request: a text, an image, a summary. Agentic AI uses generative models as its reasoning engine but goes further and takes action: it retrieves data, fills in forms, updates records and triggers follow-up steps. An AI agent is a concrete implementation, while agentic AI is the umbrella term for this class of systems, including multi-agent systems.
The hype comes with a warning. Gartner predicts that more than 40 percent of agentic AI projects will be canceled by the end of 2027, mainly due to rising costs, unclear business value or inadequate risk controls. The practical takeaway: start with one clearly scoped process, make success measurable and increase autonomy step by step.
Frequently asked questions
What is the definition of agentic AI?
Agentic AI is AI that independently pursues a goal across multiple steps. It plans, uses tools such as APIs or databases, evaluates results and adapts, rather than only responding to single prompts.
What is an example of agentic AI?
An agent that receives a supplier inquiry, looks up contract terms and stock levels, drafts a reply, updates the CRM and schedules a follow-up, with a human approving the reply before it is sent.
Is ChatGPT agentic AI?
Not in a normal chat, where it answers individual prompts. With features such as web browsing, code execution or agent modes that carry out several steps on their own, it takes on agentic capabilities.