AI voice agent for incident calls at a scooter and car rental company

This case focuses on incident calls from customers who have already rented: breakdowns, questions on the road, unexpected problems. If what you need is an agent that answers and qualifies new customers before they book, take a look at AI phone answering service: handling and qualifying calls for a car rental company.

The problem

When a customer has a problem with a rented scooter or car, they don’t want to wait for someone to get around to checking their phone. They want a clear, fast answer and to know what to do next. For the team, on the other hand, answering all those calls immediately, seven days a week and outside office hours too, was expensive and hard to sustain. The usual outcome in this kind of business: missed calls, anxious customers on the roadside and a team constantly interrupting its work to handle queries that often repeat.

The context

A scooter and car rental company in Mallorca, with an intense high season, customers speaking several languages and vehicles out across the whole island. Incidents don’t give any warning: they arrive on a Sunday afternoon, at lunchtime or when the entire team is busy at the counter. We don’t publish recordings, locations or customer data; what we describe here is the pattern of the process.

What kind of calls an AI voice agent can handle

Most incident calls follow recognisable patterns: a breakdown or a puncture, a question about what to do after a mishap, a query about returning the vehicle or about how to act in a specific situation. They matter to the customer, but they are repetitive for the team. That is exactly where an AI voice agent makes the most sense: high frequency, known answers and genuine urgency. The same technology sits behind an AI voice agent for appointment booking or for order status calls; what changes is the process around the conversation, not the technology.

The solution we built

We created an AI voice agent that picks up immediately, converses naturally and follows the business process: it understands what happened, asks the necessary questions, collects the important data and guides the customer through the next steps. It is not a voicemail with menus or a chatbot read out loud: it is a conversation designed around this business’s real incidents.

How the call flow works

• Immediate response, 24/7: the customer doesn’t hear endless ringing or a voicemail; someone (even if it’s an AI) answers straight away.
• It says it is an AI: the agent introduces itself as an automated assistant as soon as it picks up, and offers to put the customer through to a person whenever they ask. Beyond being the honest thing to do, it is a legal requirement: the European AI Act requires telling people they are interacting with an AI system.
• It understands the incident: the agent identifies what happened and what the customer needs before anything else.
• It collects the key information: vehicle details, the situation, the approximate location of the problem, whatever the team will need afterwards.
• It guides the next steps: the customer hangs up knowing what to do, which is exactly what they called for.
• It leaves the incident ready: the case is logged and organized so the team can pick it up with full context.

Human oversight and escalation

This is not about replacing the team. When a case needs human intervention (a delicate situation, a decision that shouldn’t be automated) the agent escalates it with the information already collected, filtered and organized. The team doesn’t arrive blind: it arrives with context. Designing those boundaries well matters as much as designing the conversation, and it is one of the first things we define in any AI voice agent for business project.

Results

No inflated metrics: the change is that the customer is no longer left without an answer and the team no longer lives glued to the phone. Repetitive calls are resolved or prepared automatically, and the ones that require human judgement arrive with the complete picture. For a seasonal business with long opening hours, sustaining that level of coverage with people was unfeasible; with the agent, it is simply how things run.

Do you have a similar process?

This pattern fits when there are many repetitive queries, long service hours and situations where a fast reply makes a big difference to the experience: vehicle rental, technical support, services with emergencies. Before building an AI voice agent it pays to understand the process properly; we explain it in how to implement AI in my business and in what processes can be automated.

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Do your customers need a fast answer outside office hours or at peak times? Tell us what kind of calls you get and we’ll see whether an AI voice agent fits your process.