What is an AI Agent?
An AI agent is a system built around a language model that can plan a sequence of steps, take actions — like calling an API, updating a database, or sending a message — and adjust its plan based on the results, rather than just generating a single text response.
Plan, act, observe, repeat
The core loop of an AI agent is: it receives a goal, breaks it into steps, executes a step (often by calling a tool or API), observes the result, and decides the next step — repeating until the goal is met or it needs human input.
Goal
The agent receives a task, e.g. "qualify this lead and update the CRM."
Plan
It breaks the goal into steps — look up the lead, ask qualifying questions, score the response.
Act
It executes each step using tools — an API call, a database query, a message send.
Adjust
It observes the outcome and adjusts its next step, or hands off to a human when needed.
What AI agents actually do in business
Lead qualification
An agent engages an inbound lead, asks qualifying questions, checks the answers against your criteria, and updates the CRM — without a human touching the first conversation.
Support triage
An agent reads an incoming ticket, checks order/account status via API, resolves what it can, and routes anything complex to the right human team with full context attached.
Report generation
An agent pulls data from multiple internal systems, compiles it, and drafts a formatted report on a schedule — a task that used to require someone manually exporting and combining spreadsheets.
Frequently asked questions
What is the difference between an AI agent and a chatbot?
Do AI agents work without human oversight?
What tools/systems can an AI agent connect to?
Can you build an AI agent for our specific workflow?
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