Agentic AI

Executive Definition: Agentic AI — AI systems designed to act autonomously, making decisions and executing complex workflows without constant human input.

Unlike traditional reactive AI, agentic systems can formulate plans, interact with external tools and APIs, write code, and evaluate their own progress toward an objective. This shifts AI from functioning as a basic question-and-answer utility to an autonomous system capable of executing complex, multi-step tasks.

Frequently Asked Questions

How is agentic AI different from a chatbot?

Chatbots react to individual prompts, whereas agentic AI can plan complex workflows, utilize external tools, and iterate autonomously to achieve a specified goal.

Is agentic AI safe to deploy?

Deployment requires robust guardrails, such as human-in-the-loop checkpoints, action logging, and restricted tool access. Fully autonomous agents without oversight pose significant risks in production environments.

What tools do AI agents use?

Agents interact with environments using tools like web browsers, code interpreters, databases, APIs, and file systems, often integrated via function calling or protocols like MCP.