One Mobility case study: 31% of AI agent conversations become leads

One Mobility, one of the newest projects of OMR Group, offers long-term vehicle rental and leasing, and has a sales AI agent on its website. In six months, up to October 2026, the agent handled 1,065 conversations and created 332 leads, a conversation-to-lead conversion rate of 31%. 68% of conversations came in outside working hours.

The data comes from the Clover4 client portal as of October 2026. A comparison with another service business is available in Sales AI agents in the service industry.

What challenge did One Mobility have?

One Mobility is a highly visible project with a significant marketing and promotional focus across digital and offline channels, so its website gets a large number of visits. The company did not want visitors to browse the offer and make decisions on their own. It did not want a car showroom without a salesperson. It wanted a digital salesperson working 24/7 and making the most of that traffic.

The challenge had three parts:

• A new concept: long-term rental is unfamiliar to many buyers, who often confuse it with leasing and rent-a-car. The same questions, for example about the option to buy out the vehicle, kept coming up and took a lot of the customer support team's time.
• Leads going cold: interested visitors filled in a form on the website, the team received an email notification and then called them. Time passed between the form and the call, and nobody replied in the evening or at the weekend.
• The team's time: part of it went to buyers who did not meet the requirements.

What role does the AI agent have?

The agent does the job of a setter: it provides the necessary information and creates qualified leads. In a conversation with a buyer, it:

• Knows every vehicle, including detailed specifications that are not on the website.
• Explains the concept and answers standard questions, such as buyout and the difference between long-term rental, leasing and rent-a-car.
• Presents the offer and checks requirements, such as employment and, for leasing, the down payment.
• Hands over to sales a buyer who meets the requirements, along with their contact details and a summary of the conversation.

Negotiating and closing the deal stay with the salesperson.

What was hardest about building the agent?

The most attention went to mapping the communication process well and clearly defining the agent's role, for both individuals and companies. This is also the first step in building any sales agent: only when its job and the definition of success are clear do knowledge, actions and the way it runs a conversation get added. The full process is described in How to build an AI sales agent.

How were the results measured?

• Conversation: the visitor sent at least one message. Opening the window does not count.
• Created lead: a qualified buyer who left their details or booked a meeting.
• Conversion rate: the number of created leads divided by the number of conversations.

This rate is different from website conversion, which is calculated across all visitors.

How many conversations became leads?

Of the 1,065 conversations, 332 ended in a created lead, or 31%. The average across all Clover4 sales agents is around 30%.

The rate changes from month to month. In September 2026 there were 194 conversations and 48 leads, or 25%, so the result is best judged over a longer period.

What happens to conversations that did not become leads?

733 conversations did not become leads, and all of those buyers got an immediate answer without involving the team. The portal sorts them into three groups:

• 38 conversations: the buyer said they would get in touch.
• 467 conversations: three or more messages and shown interest. These are informed potential buyers who may later become leads through another channel: by phone, in person or by filling in a form. Such leads are not included in the 31% rate.
• 228 conversations: one or two questions, with no follow-up.

How many conversations come in outside working hours?

Working hours are counted as Monday to Friday, 9 am to 5 pm. Outside that window came 68% of conversations. In September the share was 72%, or 139 of 194 conversations.

This is the period when nobody used to reply to inquiries. In one snapshot of the lead list, four of six leads were created after 5 pm: at 19:19, 19:32, 22:39 and 23:19. Sales found them waiting in the morning.

What does sales get with each lead?

With each lead, the salesperson gets the buyer's contact details and a summary of the conversation: budget, chosen option, what the agent has already explained and what is still open. One buyer was looking for a vehicle under 209 euros a month, and the agent presented the available options. Another asked about buying with no down payment, and the agent explained that financial leasing requires a 20% down payment and offered long-term rental, which needs no down payment, before the conversation reached sales.

Management also receives a monthly analysis of conversations: key insights, the topics buyers raise, objections and sentiment.

What changed for the One Mobility team?

The team's workload has dropped significantly and leads come in continuously. Nemanja Karić, Manager at One Mobility, describes it this way:

"Working with Clover4 has enabled us to significantly improve the way we communicate with website visitors. Today, the AI agent handles a large part of the initial communication, qualifies inquiries, and directs them toward the next step. This has relieved our team and brought us higher-quality inbound leads."

Time savings can only be estimated. The estimate rests on two assumptions: that without the agent, half of the 733 buyers without a lead would have called or filled in a form, and that handling one such inquiry takes 20 minutes. On those assumptions, the saving is about 122 hours, or 15 working days of one salesperson over six months.

What do these results not show?

• The situation before the agent: the number of inquiries, response time and website conversion before the agent are not part of this analysis, so growth compared with the earlier period cannot be expressed as a number.
• Contracts: the data covers the path up to a created lead. The share of leads that became contracts is tracked by the client's sales team.
• Control group: there was none, so it is not possible to determine how many leads would have been created without the agent.

A calculation model of the effect on overall website conversion is available in Sales AI agents in the service industry.

What does this mean for other companies?

Companies face a similar challenge when their website gets plenty of visits, buyers have many questions before deciding and the deal closes with a salesperson. An example for vehicle sales is on the AI agent for car dealerships page, and costs and choosing a solution are covered in AI agent for your website.

To estimate the potential in your company, four figures are needed: the current conversion rate, the share of inquiries outside working hours, the time to first response, and the time salespeople spend on buyers who are not ready. If you would like to see how this could work for you, book a free demo.