Chatbot, ChatGPT or a human for support?

“Why would I pay for a chatbot when ChatGPT exists?”

It is a fair question and we get it often. The honest answer is that for plenty of businesses it genuinely is not worth it — and you will know which case you are in before the end of this article.

The three do not do the same job

General AI (ChatGPT and its equivalents). It knows almost everything about the world and nothing about you. It does not know whether the item is in stock, what your returns policy says, or where order 4471 is. Ask it something specific to your business and it will either say it does not know or — worse — invent an answer.

A chatbot trained on your own material. It knows only your business: catalogue, prices, policies, opening hours. It answers instantly, around the clock, in Greek and in English. In exchange, someone has to give it correct information and keep that information current.

A human. Judgement, exceptions, angry customers, anything nobody anticipated. Expensive per question, and not available at three in the morning.

This is not a ladder from cheap to good. It is three tools for three different jobs.

The question that settles it

Measure one week: how many questions do you get, and how many of them are the same question?

If half are variations of “how much is delivery”, “do you have it in blue”, “when will it arrive” — you have a problem that automation solves.

If every question is different and needs thought, you do not. You have work that needs a person.

Choose general AI if

You want it internally, not customer-facing: summarising email, drafting copy, translation
Your customers’ questions do not touch your own data
You want to see how an AI reasons before committing to anything

A useful, cheap starting point. Just do not expect it to know your stock.

Choose your own chatbot if

You get the same questions every day and the answers already exist in writing somewhere
Customers message outside working hours and leave when nobody replies
You serve in two languages — common in tourism, hospitality and e-commerce
Delay costs you a sale, not just goodwill

Keep it human if

Volume is low and the questions are complex
You sell something expensive or advisory, where the relationship is the product
Your customers prefer the phone — in Greece that holds more than international research suggests

The mistake most people make

They add a chatbot to cut costs, not to solve a problem.

You have met the result as a customer: a window that does not understand what you asked, will not connect you to a person, and makes you give up. That does not save money — it loses customers more quietly.

A chatbot that works starts from the other end: from the five questions that exhaust your team, and it solves only those, properly.

What it does not fix

To be clear:

It does not replace your team. It removes the repetitive questions so people can handle the hard ones.
It does not fix bad information. If your returns policy is vague, the chatbot will state it vaguely — faster.
It does not rescue a broken process. If orders are late, support is not your problem.

The thing that decides everything

The handover to a human.

A good chatbot knows when it does not know, says so, and passes the conversation to a person along with the history — so the customer does not start over. That is the one feature to check before you buy anything. Ask about it explicitly, and ask to see it working.

Test it cheaply first

Before commissioning anything:

Log every customer question for two weeks
Group them. If the top five cover half, you have a case
Write the answers into one document — you will need them regardless
See whether a good FAQ page is enough. Often it is

Step 3 is never wasted: it is exactly the material that feeds a chatbot later.

On cost, see what actually drives the price of an AI chatbot. And if what you need is not something that answers but something that does — records, checks, updates — then you are talking about an AI agent, which is a different thing.

Not sure which of the three you are? Book a free 30-minute call — if an FAQ page will do, we will say so. See also how we build AI chatbots.