AI agent vs chatbot: what is the difference?
"Chatbot" and "AI agent" get used as synonyms, and they are not. Choosing wrong is expensive: either you overpay for something you do not need, or you fall short and frustrate your customers.
What a chatbot is
A classic chatbot is a script with buttons: "press 1 for opening hours, 2 for orders". Modern ones use AI to sound natural, but they follow the same pattern: they react to what you type, one conversation at a time, and remember nothing from the previous one.
What an AI agent is
An agent uses the AI model to decide, not just to write. It has persistent memory (it remembers customers, cases and corrections), can use tools (calendar, email, your documents) and works autonomously: it does not wait for you to write before doing the follow-up you asked for.
The three differences that matter
Memory: a chatbot starts from zero in every conversation; an agent accumulates context and improves with use.
Autonomy: a chatbot only reacts; an agent runs scheduled tasks and takes the initiative when needed.
Action: a chatbot replies with text; an agent does things (looks up, summarizes, sends, schedules) and reports the result.
Chatbot | AI agent | |
|---|---|---|
| Memory | Starts from zero in every conversation | Remembers customers, cases and corrections |
| Autonomy | Only reacts when you write | Runs scheduled tasks and takes the initiative |
| Action | Replies with text | Looks up, summarizes, sends, schedules and reports back |
| Where your data lives | In the vendor's cloud | On your server, if you host it yourself |
| Observed entry cost (Spain, July 2026) | From EUR 49/mo on segment SaaS | Managed from EUR 19.99/mo |
- Memory
- Starts from zero in every conversation
- Autonomy
- Only reacts when you write
- Action
- Replies with text
- Where your data lives
- In the vendor's cloud
- Observed entry cost (Spain, July 2026)
- From EUR 49/mo on segment SaaS
- Memory
- Remembers customers, cases and corrections
- Autonomy
- Runs scheduled tasks and takes the initiative
- Action
- Looks up, summarizes, sends, schedules and reports back
- Where your data lives
- On your server, if you host it yourself
- Observed entry cost (Spain, July 2026)
- Managed from EUR 19.99/mo
When is a chatbot enough?
If your case is narrow and repetitive — answering opening hours, collecting a phone number, filtering enquiries — a well-built chatbot does the job and costs less. You do not need more.
When do you need an agent?
When conversations carry context (returning customers, ongoing cases), when you want the work done even while you are away, and when the volume of repeated questions is eating your hours. That is where a chatbot falls short fast.
What the data says
According to Gartner (2025), by 2029 agentic AI will autonomously resolve 80% of common customer service issues, with a 30% reduction in operational costs.
And customer patience is short: 63% of consumers are willing to switch to a competitor after just one bad experience, according to Zendesk's CX Trends 2025 report (a survey of about 5,100 consumers and 5,400 CX professionals across 22 countries).
How to try an agent without the hassle
With Evy you have an assistant on your own server, connected to your WhatsApp or email, with no server know-how. You start with one concrete case (customer support, for example) and grow from there.