What is Agentic AI?
Agentic AI describes systems that pursue a goal across multiple steps — planning, calling tools and completing work — rather than returning a single response.
Also called: AI agents, autonomous AI
In more detail
An agentic system decides which actions to take, executes them against real systems, observes the result and adjusts. That distinguishes it from a chatbot, which answers, and from scripted automation, which follows a fixed path and breaks when reality differs.
Why it matters
Agentic systems can absorb whole workflows instead of assisting with fragments, which is where the operational saving actually is. The trade-off is that autonomy requires governance, permissions and auditability that a chatbot never needed.
How iLeaf approaches it
iLeaf builds sequential and swarm agents with explicit tool scopes, approval gates on anything that writes or spends, and a supervisor that can halt a run. Agents start with one narrow job and earn wider permissions by being measurably right.