Agentic AI

AI systems that can autonomously perform tasks, make decisions, and take actions with minimal human intervention, often using tools and APIs to accomplish goals.

Also known as:AI AgentsAutonomous AIAgent-based AI

What is Agentic AI?

Agentic AI refers to artificial intelligence systems designed to operate autonomously, making decisions and taking actions to achieve specific goals without constant human oversight. Unlike traditional AI that responds to prompts, agentic AI can plan, execute multi-step tasks, use external tools, and adapt to changing circumstances.

Key Characteristics

  • Autonomy: Can operate independently once given a goal
  • Tool Use: Ability to interact with external systems, APIs, and databases
  • Planning: Can break down complex tasks into steps
  • Persistence: Maintains context and state across interactions
  • Self-Correction: Can identify and fix errors in its approach

Examples in Practice

  • AI coding assistants that can write, test, and debug code
  • Customer service agents that resolve issues end-to-end
  • Research agents that gather, analyze, and synthesize information
  • Workflow automation agents in enterprise systems

Security Considerations

Agentic AI introduces new security challenges including permission management, action auditing, and ensuring AI agents don't exceed their authorized scope of operations.

Frequently Asked Questions

How is agentic AI different from traditional chatbots?

Traditional chatbots respond to individual prompts, while agentic AI can autonomously plan and execute multi-step tasks, use external tools, and make decisions to achieve goals.

What are the risks of agentic AI?

Key risks include unauthorized actions, data leakage, prompt injection attacks, and agents exceeding their intended scope. Proper governance and monitoring are essential.