Definition
A goal-directed AI system that can take a series of actions to accomplish a defined task, for example, following up on a lead, scheduling an appointment, or drafting a quote. Agents differ from chatbots in that they take initiative across multiple steps rather than just responding.
What it looks like in practice
A spring-cleanup inquiry lands on the landscaping company's website on a Thursday afternoon. An agent doesn't just log it. It texts the homeowner within a minute, asks lot size and whether there's gate access, checks the crew calendar against the property's zip code, and offers two arrival windows on routes the crew is already running. The homeowner picks Tuesday. The agent books it, adds the gate code to the job notes, sends a confirmation, and writes the lead source back to the CRM. If the homeowner asks for a price on a retaining wall instead, it stops and hands the thread to the owner, because that quote isn't its call.
Why it matters
Owners don't want a tool that answers one question and then waits for the next instruction. They want the job finished. That's the whole weight of the word 'agent': it can carry a task across several steps, and it keeps working after hours. The catch is symmetrical. More initiative means more surface for a wrong move nobody caught, and an agent that quotes a price or promises a date it shouldn't have creates a problem the owner has to unwind. The pattern that holds up for a small business is an agent with a leash: it runs the steps but stops for approval on anything touching money, scheduling, or brand voice.