Implement Agentic logoImplement Agentica Clouda Company

Definitive answer

What is agentic AI?

Agentic AI is a class of AI systems that autonomously plan, decide, and act across multi-step business workflows using LLM reasoning, persistent memory, and external tools. Unlike single-prompt chatbots, agentic AI decomposes goals into sub-tasks, selects tools, executes actions through APIs or MCP servers, and evaluates outcomes — typically inside a closed-loop architecture.

What makes an AI system 'agentic'

Three properties separate an agentic system from a copilot or chatbot: goal decomposition, tool use, and persistence. The agent owns the workflow end-to-end and decides what step to take next based on the current state.

  • Goal-directed planning across many steps and turns.
  • Tool use through MCP servers, APIs, or RPA.
  • Memory that persists across sessions (working, episodic, semantic).
  • Evaluation feedback that informs future runs.

Reference architecture

Implement Agentic builds agentic systems on a six-stage closed loop — Capture → Normalize → Memory → Reason → Act → Evaluate — orchestrated with LangGraph or the Anthropic Claude Agent SDK and tooled through MCP.

Frequently asked

Is agentic AI the same as AGI?+

No. Agentic AI is a system design pattern that uses today's LLMs plus orchestration and tools. AGI is a hypothetical class of general intelligence.

Is every chatbot agentic?+

No. Chatbots that simply respond to one prompt at a time are not agentic. An agent plans, takes multiple actions, and evaluates outcomes.

Related reading

What is closed-loop AI?AI agents vs copilots vs RPA vs workflow automationAgentic AI Consulting

Get expert guidance

Implement Agentic ships closed-loop AI agents for Orange County and Southern California enterprises.

Book a free call