Most of what gets sold as an "AI agent" is a chatbot with a new label. This guide separates the two and tells you which one your process needs.
A chatbot answers questions. An agent does work. The difference sounds small until you watch each one handle the same support ticket.
A chatbot takes a question, matches it against a script or a language model, and returns an answer. Give it a question outside that script and it stalls, loops, or hands the person to a human. A chatbot can tell a customer where the shipping policy lives. It can't look up the customer's order, see that the shipment is three days late, and send an apology with a corrected delivery date.
A chatbot reads and replies. It doesn't touch your systems.
An agent reads data, decides what to do with it, and acts inside tools you already run: your CRM, your order system, your email platform. The loop looks the same every time: trigger, read, decide, act, log.
Take the late shipment case. An agent built for it checks the fulfillment system for orders overdue by more than 48 hours, pulls the customer's email and order number, drafts a message with the corrected date, sends it, and logs a note in the CRM so support knows it happened. You don't watch it happen. You don't need to.
An agent changes state in a system other than the conversation. A chatbot only changes what's on screen.
Agents cost more to build and maintain, because they touch real systems and carry real risk if something breaks. A chatbot answering the same twenty questions all day costs less to set up and keeps running with less oversight.
Build a chatbot when the job starts and ends with a conversation. Build an agent when the job requires reading a system, deciding something, and changing that system's state.
Not sure which one your process needs? Send us the exact steps a person follows today. We'll tell you whether it's a two-week automation, a longer agent build, or a project that doesn't need AI at all.
Yes, and in most support setups they should. A chatbot handles the first response and classifies intent. If the request needs a system checked or changed, it hands off to an agent that does the work.
Write down what a person does for the task today, step by step. If every step is "look something up and say it back," you need a chatbot or a search tool. If any step is "check this, then update that," you need an agent.
They remove the repetitive fraction of the job, not the whole role. A support team that stops manually checking shipment status for every status ticket still handles the tickets that need judgment. They handle more of them each day.
Tell us what the manual process looks like today. We'll scope whether it's an agent, a simpler automation, or something else entirely.
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