Conversational AI examples include website chatbots that answer customer questions, voice agents that pick up the phone, virtual assistants on phones and smart speakers, messaging bots on WhatsApp, and AI agents that take actions such as booking or capturing a lead. All of them understand ordinary language and reply in text or speech.
Below are ten real uses, grouped by type, a side-by-side table of the types, one customer request handled five different ways, and a short check that tells you which example fits your business.
What counts as conversational AI?
Google Cloud defines conversational AI as a type of artificial intelligence that can simulate human conversation, made possible by natural language processing and foundation models (Google Cloud). The test is simple: can the software understand a message written or spoken in the person's own words, and reply in a way that fits the conversation so far?
Google Cloud lists three families of application: generative AI agents that power text or voice conversations, chatbots used in customer service to answer questions and give support, and virtual assistants that are often voice-activated on phones and smart speakers (Google Cloud). Every example below belongs to one of those families. If you want the difference between a plain chatbot and conversational AI first, read chatbot vs conversational AI.
What are 10 examples of conversational AI?
Customer service
- A website support chatbot. The chat bubble on a company site that answers questions about products, delivery, returns and opening hours from the company's own pages and documents, at any hour.
- A help desk assistant for software products. A chatbot inside a SaaS app that answers setup and how-to questions from the product's help docs and passes billing problems to a person. See AI chatbot for SaaS.
- A messaging app assistant. A business account on WhatsApp or another messaging app that replies to customers in the app they already use. See WhatsApp chatbot.
Sales and bookings
- A lead qualification bot. It answers a buyer's questions, asks two or three qualifying questions, and collects a name and email for the sales team.
- A booking assistant. A clinic, salon or restaurant bot that answers questions and helps a visitor request a time, then confirms through the business's own booking tool.
- A shopping assistant. An online store bot that answers sizing, stock and shipping questions from the store's product pages. See AI chatbot for ecommerce.
Voice
- A phone voice agent. It answers calls on a business number, understands the caller's spoken question, and replies out loud, then takes a message or transfers the call when a person is needed.
- A virtual assistant on a phone or smart speaker. The consumer assistants people talk to at home, which set timers, answer questions and control devices by voice.
Internal and general purpose
- An internal knowledge assistant. Staff ask it about HR policies, product specs or processes, and it answers from internal documents instead of a colleague's memory.
- A general-purpose AI assistant. ChatGPT, Claude and Gemini are conversational AI too. They answer from broad general knowledge, while a business assistant answers from one company's own content.
For examples of assistants that also take actions on their own, such as updating a record or sending a follow-up, see our list of AI agent examples.
How do the types of conversational AI compare?
The examples above use four broad types of software. A rule-based chatbot is included as the baseline, because it is the one most people picture when they hear "chatbot", and it is not conversational AI.
| Type | Understands free wording? | Where it answers from | Takes actions? | Typical example |
|---|---|---|---|---|
| Rule-based chatbot (baseline) | No, only keywords or buttons it was given | Scripted replies written by hand | Only fixed flows | A menu of buttons on a delivery site |
| AI chatbot | Yes | Your own pages and documents, through a language model | Light: capture a lead, hand over to a person | A website support chatbot |
| Voice agent | Yes, spoken | The same knowledge, turned into speech | Light: take a message, transfer the call | A phone line that answers after hours |
| AI agent | Yes | Your knowledge plus connected tools | Yes, completes tasks for the user | A booking or order-update assistant |
| Virtual assistant | Yes, mostly spoken | General knowledge and device features | Yes, on the device | A smart speaker at home |
Google Cloud puts simple bots at the least autonomous end, typically following pre-programmed rules, and AI agents at the other end, pursuing goals and completing tasks on behalf of users (Google Cloud). Most business assistants today sit in between. Our guide to AI agent vs chatbot covers that line in more depth.
What does one request look like across five examples?
Picture a small plumbing company. A customer gets in touch at 10pm with this: "My boiler is making a banging noise. Is that an emergency, and can someone come tomorrow morning?"
- Rule-based chatbot: it spots "boiler" and shows the boiler servicing page. The question about urgency and the request for tomorrow are lost.
- AI chatbot trained on the company's site: it reads both parts of the message. It answers from the company's own emergency page which signs mean "turn the boiler off and call now", and explains how to request a visit. When the company's pages do not cover something, it says it does not have that information rather than guessing.
- AI chatbot with lead capture and handover: the same answer, then it asks for a name, postcode and phone number and passes the request to the office with the full conversation attached, so nobody has to ask the customer twice.
- Voice agent on the business number: the customer calls instead of typing. The agent gives the same answer out loud and takes a message for the morning team.
- AI agent connected to the booking calendar: it offers the free morning slots the calendar shows and books one, then confirms by email.
The lesson is that the examples are steps on one ladder. Most businesses start with the second rung, an AI chatbot that answers accurately from their own content, then add handover, voice or actions where they pay off. Try the check below to see which rung fits you now.
What is not conversational AI?
- A contact form. It collects a message but never replies.
- A button menu or keyword bot. It looks like a conversation but cannot understand a question it was not scripted for.
- A phone menu that says "press 1 for sales". It routes calls by keypad, not by understanding speech.
- Canned email replies. Templates a person picks and sends by hand.
Each of these can still be useful. The difference is that the visitor has to fit the system, instead of the system understanding the visitor. For a fuller side-by-side, see the rule-based vs AI chatbot buyer's guide.
Which example should a small business start with?
Start with the example that answers the questions you already get most often, in the channel where you get them. For most small businesses that is a website AI chatbot trained on their own site, because the content already exists and the visitors are already there. Add human handover when some conversations need a person, and voice when a lot of your customers phone.
With Dante AI you build an AI agent from your own content: website pages it crawls, file uploads such as PDF and Word, pasted text, and question and answer pairs. You can test it privately in the Sandbox before any visitor sees it. Paid plans add frontier models from OpenAI, Anthropic and Google, and the Advanced plan adds lead capture, Human Handover to a team inbox and an AI voice agent on your own phone number. The Free plan costs $0 and includes 100 credits a month. Compare every plan on the pricing page.
Want to see conversational AI answer from your own website? Get started free at dante-ai.com.
Sources
- Google Cloud, Conversational AI (definition and application examples: generative AI agents, chatbots, virtual assistants), read 31 October 2026.
- Google Cloud, What are AI agents? (bots, assistants and agents compared by autonomy), read 31 October 2026.
- Dante AI Help Center, Knowledge sources, Sandbox, Inbox and Plans and pricing, read 31 October 2026.