Agentic AI
Agentic AI refers to AI systems that can plan, take multi-step actions, and use tools autonomously to achieve a goal, rather than just responding to a single prompt.
How Agentic AI works
A regular chatbot answers a question and stops. An agent is given a goal — "research these five competitors and draft a comparison" — and autonomously plans the steps, searches the web, reads results, and produces the output, often using external tools along the way.
Why it matters for your business
Agentic AI is where AI moves from "assistant that answers when asked" to "AI that gets a task done." Early business use cases include automated research, multi-step data entry, and internal workflow automation — but it's a newer, less mature category, so pilots and human oversight matter.
Frequently Asked Questions
How is an AI agent different from a chatbot?
A chatbot typically answers one question at a time. An agent can break a goal into steps, use tools (search, send an email, query a database), and keep working across multiple steps until the goal is done.
Is agentic AI risky for a business to use unsupervised?
Because agents can take real actions, most businesses start with human approval checkpoints before letting an agent act fully autonomously, especially for anything customer-facing or financial.