Short answer: a chatbot talks, an AI agent works. A chatbot answers based on what you've shown it - FAQs, a price list, documents. An AI agent connects to your systems and takes action: checks an order, enters an invoice, updates the CRM. And it decides on its own which steps that takes.

On the market both get called "AI solutions," and the prices differ several times over. So it's worth knowing what you're asking for.

One example that explains everything

A customer writes: "Hi, where's my order #4417?"

A chatbot answers something like: "You can check your order status by logging in to your account or by sending us your order number." It doesn't know where that order is. It only knows what you wrote in its instructions.

An AI agent takes the number 4417, opens your warehouse system, sees that the package shipped yesterday and is running a day late, and replies: "Your order shipped yesterday and the courier will deliver it tomorrow by 5 p.m. Since we're running late, here's a €5 discount code for your next purchase." Then it logs that in the CRM and flags the delay in the report.

The difference isn't the quality of the conversation. The difference is that after the conversation, something actually happened.

The differences in a table

ChatbotAI agent
What it doesAnswers questionsDoes the job end to end
Where it gets informationFrom what you've shown itFrom your live systems
Connects to CRM, inventory, accountingNoYes, that's the whole point
Can it make a costly mistakeHardly - at worst it says the wrong thingYes, so it needs a log and a human check
Price in Lithuania€200–€1,500from €1,500
Time to deploy1–2 weeks2–4 weeks

Detailed price ranges and what drives them are in the pricing article.

When a chatbot is enough

This is where I'm supposed to sell you an agent. But honestly: a good half of the companies I talk to don't need one.

A chatbot is enough when the answers are the same for everyone and don't depend on the customer: opening hours, price list, return policy, shipping terms, how to find the office. If your whole FAQ fits in one document and it doesn't change for months at a time, you need a chatbot, not an agent. You'll pay a few hundred euros instead of a few thousand and get the same result.

In that case I say exactly that. Selling a more expensive solution where a cheaper one would do the same job is the fastest way to lose a client six months later.

If the answer doesn't depend on who is asking, you need a chatbot. If it does, you need an agent.

When a chatbot is no longer enough

Three signs you've outgrown a chatbot:

The third point matters most, and it's the one people think about least. Most of the agents we deploy never talk to customers at all - they quietly move data between systems. How to choose a process like that is covered separately: which work is worth automating with AI agents.

How to tell what you're really being offered

On the market, a plain chatbot with a fancier name also gets called an "AI agent." Four questions show you everything straight away:

Since an agent connects to your systems, it's worth looking into the data side right away: what GDPR says about AI and what to ask a vendor. The full vendor checklist with red flags is here: how to choose an AI automation agency.

Price: what you're paying the difference for

A chatbot is cheap because it doesn't connect to anything. Its whole job is the conversation. An agent's price is driven by integrations - every system it connects to is a separate piece of work: getting access, understanding the data structure, handling the error cases.

That's why an agent connecting to one system might cost €1,500, and one connecting to four €6,000. Not because it's "smarter," but because there's four times as much work.

Whether that difference pays off for you, you can work out yourself: the ROI calculator is here.

What to do if it's still unclear

It's unclear more often than you'd think, and that's normal - from the outside it's hard to say whether your case needs integrations. By the way, there's a third question people often ask: can't I just use ChatGPT.

A practical method: write down your five most common questions or tasks and mark next to each whether answering it requires looking something up in a system. If at least three out of five do, you need an agent. If none do, a chatbot will do, and you save several thousand.

If you like, we can go through that list together on a free call, and I'll tell you straight which one you need - even if the answer is "a chatbot is enough for you, and we don't build those."

Questions about AI agents and chatbots

What's the difference between a chatbot and an AI agent?

A chatbot talks, an AI agent works. A chatbot answers questions based on what you've shown it - texts, FAQs, documents. An AI agent connects to your systems and takes action: checks an order, enters an invoice, updates the CRM. And it decides on its own which steps that takes.

Is a chatbot enough for me, or do I need an AI agent?

A chatbot is enough when questions repeat and the answers don't change and are the same for everyone - opening hours, prices, return policy, shipping terms. You need an AI agent when the answer depends on a specific customer's data in a system, or when something has to be done after the conversation: entered, booked, invoiced.

How much more expensive is an AI agent than a chatbot?

On the Lithuanian market a simple chatbot costs about €200 to €1,500, an AI agent from about €1,500. The difference isn't driven by the conversation but by integrations: every system the agent connects to is a separate piece of work. A chatbot doesn't connect to anything, which is why it's cheaper.

Who is responsible if an AI agent makes a mistake?

The vendor is, and the risk is reduced in two ways: every action the agent takes is recorded in a log, so you see exactly what was done, and the most important decisions keep a human approval step. In practice that means the agent prepares and a person approves with one click.