What Is Agentic AI?

Plain-English Explanation

Agentic AI refers to AI systems that can independently plan, reason, and take actions to achieve goals — without requiring step-by-step human instructions. Unlike a simple chatbot that responds to individual prompts, an agentic AI system can break down complex tasks, use tools, search for information, and make decisions across multiple steps.

Technical Explanation

Agentic AI architectures combine large language models with planning modules, tool-use capabilities, and memory systems. The agent receives a goal, decomposes it into sub-tasks, selects and executes appropriate tools for each step, evaluates intermediate results, and iterates until the goal is achieved.

Examples

• •A legal AI agent that autonomously researches a legal question across multiple databases, synthesises findings, and drafts a structured memo
• •A tax AI agent that identifies applicable rulings, checks compliance across jurisdictions, and generates a planning recommendation
• •An enterprise AI agent that processes incoming documents, extracts key data, updates systems, and flags exceptions for human review