What is Agentic AI? - Definition & Meaning
Learn what Agentic AI is, how AI agents autonomously execute tasks with tools and reasoning, and which applications exist for business automation.
Definition
Agentic AI refers to AI systems that autonomously pursue goals by planning, reasoning, and executing tools or actions rather than merely responding to prompts. They take initiative, make choices, and perform multi-step processes.
Technical explanation
Agentic AI combines LLMs with tool use (function calling), reasoning (chain-of-thought), and feedback loops. An agent receives a task, plans steps, invokes external tools (APIs, database, search engines), evaluates results, and repeats until the goal is reached. ReAct (Reason + Act) and Plan-and-Execute are common patterns. Multi-agent systems let agents collaborate. Challenges: hallucination, infinite loops, cost. Frameworks: LangChain, LangGraph, CrewAI, AutoGen.
How AVARC Solutions applies this
AVARC Solutions builds agentic AI for clients: from document processing and research assistants to automated workflow orchestrators. We combine guardrails, structured outputs, and fallbacks to ensure reliability.
Practical examples
- A research agent that automatically searches sources, summarizes, and compiles a report with citations.
- A support agent that picks up a ticket, queries the database, formulates an answer, and closes the ticket.
- An accounting agent that fetches invoices, validates them, and generates booking proposals for approval.
Related terms
Frequently asked questions
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