What is an AI agent for a business?
An AI agent is software that reads what comes into your business, decides what to do with it under rules you set, and takes the action in your systems: replies, books, updates, chases. A chatbot only talks, whereas an agent finishes the task it started.
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How is an agent different from a chatbot or a workflow?
A chatbot answers, a workflow repeats a fixed sequence, and an agent decides and then acts. The difference only shows up at the moment something unusual arrives.
A chatbot is a conversation. It is good at answering the same twelve questions and bad at anything that needs a record changed. A workflow is a rule you wrote down: when this happens, do that. It is reliable and it is blind, because the moment the input does not match the rule it either does nothing or does the wrong thing loudly.
An agent sits between the two. It reads the thing that arrived, works out which of several things should happen under the rules you set, does it in the system where it belongs, and escalates when it should not decide alone. The last part is the one owners underestimate. A system that knows when to hand a case to a person is worth more than a system that is right slightly more often.
| Job in the task | Chatbot | Agent |
|---|---|---|
| Answer a question | Yes, from a script | Yes, from your real records |
| Decide what should happen next | No | Yes, under rules you set |
| Take the action in your systems | No | Yes, books, updates, chases |
| Escalate the case to a person | Rarely, and badly | Yes, with the whole history attached |
What does an agent do in a real business day?
It handles the work that happens between people being available, which in most businesses is most of the day. The clearest example we have is a real estate agency whose leads arrived while every agent was out on viewings.
We built an automated lead outreach agent on the agency own lead list. It messaged every new lead within minutes, followed up on a schedule until the lead replied or opted out, and handed live replies to a named agent with the history attached. The agency converted $662,000 in property sales in 7 days on it [1]. Nothing in that build was clever. The leads had always been there; what changed was that every one of them got answered.
The same pattern turns up under different names. A clinic calls it an appointment setter. A dealership calls it sales follow up. An insurance agent calls it renewals. It is the same agent doing the same four jobs against different records.
What does an agent need from your existing systems?
Read and write access to the tools you already run, and a rule for what it is allowed to decide by itself. Nothing has to be replaced for an agent to start working.
In practice that means a CRM it can read leads from and write follow ups into, a messaging channel it can send and receive on, and a calendar or an order system if the action it takes is a booking. If a system has no interface at all, we say so in the proposal and offer the honest options rather than promising a connection nobody has tested. That whole subject is covered in how an AI agent connects to your tools.
The second thing it needs is a boundary. An agent that can do anything is a liability, so the proposal states what it reads, what it writes and where it stops and asks a person. Owners who have been burned before find that clause more reassuring than any feature list.
What does one cost to build?
Projects run from $300 to $9,000, then a monthly maintenance retainer if you want it kept running [2]. A single agent on a single channel sits near the bottom of that range.
The number is worked through in how much does a custom AI agent cost. What we build and how we build it is on custom AI agent development, and the shorter questions are answered on the FAQ.
Tell us what keeps falling through on the contact page, and you get a proposal and a price before any deal is signed.