AI agent or chatbot: what is the difference?
What is the difference between an AI agent and a chatbot?
A chatbot answers questions inside a chat window, using the information it has been given, and does nothing outside that window. An AI agent reads your email, files and business software, then prepares concrete actions, such as a reply, a CRM record or a follow-up, which a person approves before anything is sent. In Monaco, PRAGMA builds agents of this kind, connected only to the tools you open and with a log of every action.
The two words are often used interchangeably, yet they describe very different tools in terms of what they see, what they do and the risks they carry. This article gives plain definitions, a point by point comparison and criteria to tell which one suits your business, with an example taken from the daily work of a real estate agency in Monaco.
What is a chatbot?
A chatbot is a program that holds a conversation. It receives a written question, on a website, in an app or on WhatsApp, and sends back an answer. Recent chatbots rely on a language model and phrase their answers more naturally, often drawing on documents supplied by the business, such as an FAQ, terms and conditions or a menu.
Either way, the chatbot stays inside the conversation. It does not check your calendar, create a client record or send a quote.
What is an AI agent?
An AI agent also uses a language model, but to carry out a task rather than to hold a conversation. It reads information from several tools, works out the steps to follow and prepares a result: a reply to an email, a completed record in the CRM, a scheduled follow-up, a file assembled from scattered documents. It can work without anyone writing to it, for example each time a new email arrives or every morning at a set time.
At PRAGMA, an agent only touches the tools the client opens, with per-person access rights, and a person approves before anything leaves the company. Our page on AI agents in Monaco covers the trades where we install them.
AI agent or chatbot: the difference point by point
- What it reads. The chatbot reads the question asked and the documents it has been given. The agent reads your email, files, CRM, accounting or WhatsApp conversations, depending on what you open to it.
- What it can do. The chatbot answers inside the chat window. The agent prepares actions in your tools: an email draft, an updated record, a new task, a filed document.
- Who approves. The chatbot answers your client alone and in real time. The agent prepares, then someone on the team reviews and approves before anything is sent or any sensitive change is made.
- Memory. The chatbot usually forgets the conversation once it is closed, unless a history has been set up. The agent draws on the history stored in your tools: past exchanges, file status, team notes.
- Integration. A chatbot can be added to a website or messaging app within a few days. An agent requires connecting your tools one by one, with defined access rights, which means more work at the start.
- Risk. The main risk with a chatbot is a wrong answer given to a client. With an agent, it is a badly executed action in a real system, hence human approval and a log of every action.
When a chatbot is enough
- Answering frequent questions about opening hours, access, public prices or booking terms.
- Directing a visitor to the right page or the right contact person.
- Collecting a name, a phone number and the purpose of a request before passing them to the team.
If none of these conversations requires looking up a client file or acting in a piece of software, an agent would mostly add complexity. A well-scoped chatbot, with a clear handover to a person on the team, is the better choice.
When do you need an AI agent?
- Requests arrive by email or WhatsApp, and each one means opening three or four tools before replying.
- The team copies information by hand from an email into the CRM, from an invoice into the accounts or from a contract into a spreadsheet.
- Client follow-ups are forgotten because nobody has time to track every file.
- The right answer depends on the client’s history, not only on an FAQ.
In these situations, the agent saves time on preparation and the decision stays with the team. For an overview of the tasks you can hand over to AI, see our page on AI automation in Monaco.
What controls should an AI agent have?
- Human approval: nothing goes to a client, a supplier or an authority until a person has reviewed and approved it.
- Limited access: the agent only reaches the tools you open, and within each one only the files its task requires.
- Per-person rights: through the agent, a team member only sees what they could already see in their own tools.
- Log: every action by the agent is recorded, with the date, the tool involved and the person who approved it.
- Protected data: your data is never used to train an external model.
- Known hosting: you know where the agent and your data run. At PRAGMA, that is currently European servers we administer ourselves, and hosting in Monaco is in preparation.
These rules sit within the GDPR and Monaco’s Law No. 1.565 on personal data. Our article on AI and personal data in Monaco sets out the obligations to check.
Example: an incoming email about a property listing in Monaco
What follows illustrates how an agent works; it is not an account of a client project. A real estate agency in Monaco lists a two-bedroom flat for rent. One Tuesday evening, an email arrives: someone asks whether the flat is still available, whether a viewing is possible on Saturday and whether parking is included.
An agent handles this email in six steps.
- It reads the email and identifies the property from the listing reference.
- It checks the property record in the CRM: status, parking, viewings already booked.
- It looks at the calendar of the negotiator in charge and finds two free slots on Saturday.
- It creates or completes the contact record, noting where the request came from.
- It drafts a reply confirming availability, clarifying the parking question and offering the two slots.
- The negotiator reads the draft the next morning, corrects one sentence and approves it. The action is written to the log.
The negotiator keeps the relationship and the decision. What goes away is the time spent opening four tools before being able to reply. The same logic applies to a boutique preparing a client follow-up after a purchase. Our page on real estate CRM in Monaco shows how these tools fit together in an agency.
How PRAGMA sets up an AI agent
We start with a free audit and a working prototype on your own data in 72 hours, with no commitment. If the audit shows that a chatbot is enough, we say so. The quote then covers what you have seen working, and a dedicated developer follows the project. PRAGMA does not publish a price list: the amount depends on the tools to connect, the volume, the business rules and the hosting, as our article on the cost of an AI agent in Monaco explains.
Frequently asked questions
Is a chatbot with generative AI an agent?
Not necessarily. A chatbot that phrases its answers with a language model is still a chatbot if all it does is answer. It becomes an agent when it reads your systems and prepares actions in your software.
Can an AI agent reply directly to my clients?
Technically yes, but at PRAGMA a person approves before anything is sent. The agent prepares the reply, and the team stays in control of what goes out.
Does an AI agent replace an employee?
No. It takes on repetitive preparation: reading, searching, drafting. Decisions, client relationships and special cases stay with the people on the team.
Can we start with a chatbot and move to an agent later?
Yes. A chatbot that collects requests can later be connected to an agent that prepares the follow-up in your tools.
Can an AI agent work on WhatsApp?
Yes, if it is connected to it. It reads incoming messages, finds the client’s file and prepares a reply for approval. Our page on WhatsApp automation in Monaco describes this case.
What happens if the agent makes a mistake?
The mistake is stopped at approval, since nothing goes out without review. The log shows what the agent read and proposed, so the rule at fault can be corrected.
To find out whether your need calls for a chatbot or an agent, describe in the contact form the task that takes your team the most time, or call +33 6 15 82 17 03. We will come back to you with a free audit and prototype on your data.