How it works
An agentic AI system has four parts: a planner (LLM that decides next action), an executor (runtime that calls tools), tools (functions for interacting with external systems), and memory (conversation history plus optional long-term retrieval). It runs autonomously until it completes the task or hits a step or cost limit.
Example
A customer service agent that reads a billing complaint, looks up the customer in Stripe, validates the duplicate charge against the refund policy, processes the refund, sends the confirmation email, and updates the support ticket — all without human input in 30 seconds.