What Is Agentic AI?
Agentic AI refers to AI systems configured to take sequences of autonomous actions in pursuit of goals, browsing the web, writing and executing code, sending emails, managing files, rather than responding to individual prompts. It is being deployed in enterprises now.
Agentic AI, AI systems that perceive their environment, reason about goals, plan sequences of actions, and execute those actions with limited or no human oversight to achieve outcomes in the real world.
Agentic AI is distinct from chatbots and generative AI assistants (which respond to prompts) and from Robotic Process Automation (which follows pre-defined scripts). The defining characteristic is autonomous goal pursuit: the system decides what steps to take. The Five Eyes Agentic AI Guidance (1 May 2026) is the first joint government guidance on the category. Gartner predicts 40%+ of agentic AI projects will be cancelled by end of 2027 due to inadequate governance.
Source: Five Eyes Agentic AI Guidance, 1 May 2026; Gartner agentic AI research
How agentic AI differs from traditional AI
| Aspect | Traditional AI | Agentic AI |
|---|---|---|
| Interaction model | Single prompt → single response | Goal → sequence of autonomous actions |
| Human oversight | Review output before use | Actions taken before review possible |
| Scope of impact | Bounded to single response | Can affect multiple systems simultaneously |
| Accountability | Human uses AI output | AI takes actions on behalf of human |
| Governance approach | Output review + policy | Action scope limits + real-time monitoring |