AI agents and chatbots for business: 6 AI bot examples
Mikhail, MOZGupdated November 2, 2026 · 8 min readcontents8 min read, 4 sections
An AI bot handles conversations with your customers on WhatsApp, Telegram, Instagram and your website, and takes them all the way to an order on its own. These bots are also called AI agents for business, AI assistants or chatbots. Below are 6 examples from our projects: what the bot does and what the business gets.
- An AI bot answers customers in seconds, day and night, picks products, checks stock in the CRM and takes the order or booking.
- The bot takes over the routine and passes hot leads and tricky cases to a manager.
- At a laundry in Bali, the bot handles about 10,000 conversations a month, and conversion to orders grew from about 25% to 43%.
- A bot matters most where slow replies cost you customers: at night, on weekends or when messages pile up. In a small team, it can take over the messaging and leave the tricky cases to people.
- Development costs from $800, most often up to $1,900, and launch takes about a month.
What AI agents for business take on
| industry | what the bot does | what the business gets |
|---|---|---|
| Laundry | replies 24/7 in 3 languages, takes orders | about 10,000 conversations a month, conversion from about 25% to 43% |
| Car rental | checks dates in the CRM, calculates the price | 2 bots for 3 cities and 5 channels, bookings taken to a deposit link |
| Shoe brand | picks a model based on RetailCRM stock, takes orders | replies at night, CX World Awards 2026 finalist |
| Driving school | guides people down 3 paths, sells courses | online course sales +300% |
| Real estate | asks about the goal, budget, area and timing, suggests options from the catalog | hot leads with a completed questionnaire in amoCRM |
| Wholesale | picks products from 5,200 items, takes orders | a deal in amoCRM, the customer with the right manager |
Replying 24/7 in three languages: a laundry in Bali
25% → 43%conversion in 3 monthsThe laundry's customers write on WhatsApp and Instagram in Russian, English or Indonesian, often at night while the team sleeps. Those orders used to slip away.
The bot replies in the customer's language, understands voice messages and photos, gives prices and turnaround times, and takes the order in three steps. It now handles about 10,000 conversations a month, and conversion to orders has grown from about 25% to 43%.
This is one of my favorite projects. The average order here is small, so you have to reply fast, before the customer changes their mind. After Bali, we launched a second bot like it in Kuala Lumpur.
When it brings in a person. The bot passes tricky cases to a live manager, and the team now handles only those. We explain how the reminders and analytics work in the laundry case study.
Taking car rental bookings to the deposit link: Carloson Club
Up to the depositthe bot handles the customer on its ownCarloson Club rents out premium cars in Moscow, St. Petersburg and Sochi. Customers in all three cities talk to 2 bots: the first on WhatsApp, Telegram and MAX, a Russian messaging app; the second on Avito, Russia's largest classifieds site, and Jivo. The second bot picks a car and passes the lead to a manager. The first picks a car by the customer's criteria, checks the CRM to see if it's free on the dates they need and calculates the price.
If the car is taken, it says when it will be free and suggests alternatives. It handles the booking step by step, up to a CRM lead and a deposit link. If the customer goes quiet, the bot follows up.
When it brings in a person. Tricky cases go straight to a manager, and once a manager joins the chat, the bot pauses. More in the Carloson Club case study.
Picking a model, checking stock and taking the order: Comfers
CX World Awards 2026finalistComfers, a barefoot shoe brand, has one bot answering its customers on Instagram, Telegram and VK, a Russian social network. It picks the model and size, checks stock in RetailCRM, suggests only what's available, takes the order and replies to comments under posts. Shoppers get a reply even at 3 AM.
Comfers was a finalist at the CX World Awards 2026 in the “Startup with a CX strategy from scratch” category.
When it brings in a person. In direct messages, the bot says right away that it is an AI and explains how to reach a manager. Complaints about defects, returns and payment questions go to a person. More about the project in the Comfers case study.
Selling courses: Avto In Line online driving school
+300%online course salesAt Avto In Line, students learn the theory online and practice at a partner driving school in their city.
The bot finds out what the person is looking for and takes them down one of three paths: learning to drive, exam prep or refreshing their skills. It replies on WhatsApp, Telegram and in the school's app. Then it finds a partner driving school and sells video courses on the rules of the road.
Online course sales grew by 300%, and lead-to-payment conversion more than doubled.
When it brings in a person. The bot enters a hot lead's details in the CRM and passes them to a manager. Read how the bot works through the company's own CRM in the Avto In Line case study.
When you need an AI bot and which task to start with
A bot matters most where slow replies cost you customers: leads come in at night, on weekends or in a big wave, say after you launch ads, and the manager can't keep up. In a small team, the bot can take over the messaging and leave the tricky cases to people.
Start by giving the bot the task where you're losing customers right now. Open last week's chats and count how many times the same questions came up and how many messages waited until morning for a reply. Those questions are where we start the bot's knowledge base: we'll need about 20 of these conversations from you. We go through how to choose the first process in our article on how to bring AI into your business.
If you don't get many leads and a manager replies within minutes, you may not need a bot yet. We'll tell you that during the audit.
