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AI in Car Rental Should Be the Customer’s Advocate, Not Accuser

Opinion/Editorial: What happens when AI randomly overcharges car renters outrageous fees and penalties?

by Nick DiPrima, The Merlin Group
June 30, 2025
Close up of a blue car’s headlight with white marks or scratches on the surrounding auto body.

Should a car renter be dinged hundreds of dollars in repair costs for minor scratches, marks, or scuffs beyond their control and not resulting from any impact or collision?

Photo: Pixabay /djvalo

4 min to read


AI-powered vehicle inspection technology is moving into car rental operations, promising a future of unprecedented efficiency and accuracy. 

Major players are investing in applications. The buzz at events like the International Car Rental Show is undeniable: AI is the future.

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However, as this technology moves from press release to the front lines, a dangerous “transparency paradox” is emerging. 

While marketed on clarity, recent high-profile uses create confusing and punitive customer experiences. Media outlets have lit up with stories of renters facing staggering bills for minor issues — like a $440 charge for a one-inch wheel scuff, inflated by $190 in vague "administrative" and "processing" fees. 

This isn’t a technology problem; it’s a company policy problem. The industry faces a clear choice between two different paths for how this technology will shape our relationship with customers for the next decade.

AI as a Blunt Instrument

The first path, which we're seeing gain early traction, treats AI as a blunt instrument in a technological arms race. The goal here seems simple: find more damage, “weaponize automation,” and maximize revenue collection, regardless of the impact on customer trust.

Nick DiPrima advises car rental companies that they can either use AI to amplify an old, adversarial model that profits from customer frustration, or build a new one based on trust and transparency. 

Photo: Nick DiPrima

This approach reveals a flawed focus on pure damage detection over a fair resolution process. The customer experience is punitive by design. We see an "efficiency-to-penalty" pipeline, where the operational savings from AI are not used to lower costs but to invent opaque ancillary fees. As one online observer rightly asked, "Shouldn’t this be cheaper than paying a human being?"

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Worse yet, customers with legitimate financial disputes are funneled into a "black box" resolution process. They are forced to interact with chatbots that offer no clear path to a human agent, leaving them feeling powerless and profiled. 

The inevitable outcome of this path is clear: short-term gains from individual claims that guarantee long-term brand erosion, the destruction of customer lifetime value (CLV), and the confirmation of the public's worst fears about our industry.

Path B: AI as a Tool for Trust

There is a better way. The second path reimagines AI as an impartial witness — a tool that builds trust by providing radical transparency for both the rental operator and the customer. This path is built on four pillars of a customer-centric strategy.

  1. A Focus on Fair Resolution. A complete system cannot stop at detection. It must include the workflows and communication tools to resolve a claim fairly and respectfully. A model for this is integrating damage detection with an AI-powered estimation tool, like Wenn and Tractable. This can deliver an immediate, impartial repair cost estimate to the customer at the point of return. No delays, no disputes

  2. AI with a Human Touch. Automation should streamline processes, but empathy cannot be automated. A staggering 82% of U.S. consumers want more human interaction in customer service, not less. A system must always provide a simple, direct path to a human agent for sensitive financial matters. This "human-in-the-loop" model is not just a best practice; in a market where the leader is deploying chatbots as gatekeepers, it's a powerful competitive differentiator.

  3. A Transparent Business Case. The business case for AI should be built on justifying legitimate repair costs, not inventing new fees. Instead of levying obscure "processing" charges, we should provide customers with the actual, itemized repair invoice. This radical transparency in billing builds the brand credibility necessary for long-term loyalty.

  4. A Demand for True Partnership. Finally, operators must look beyond technology vendors to find strategic partners. The goal isn't just to buy a scanner; it's to integrate a system that aligns with your brand's core values of service and fairness. A true partner consults on the entire end-to-end process to ensure technology enhances, rather than harms, the customer relationship.

The long-term outcome of this second path is a stronger brand, higher CLV, lower customer acquisition costs, and a powerful, sustainable competitive advantage built on a foundation of trust.

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The Choice Ahead Will Define the Leaders

The future of our industry will not be defined by AI technology itself, but by the philosophy behind its usage. The choice is clear. Companies can use AI to amplify an old, adversarial model that profits from customer frustration, or they can use it to build a new one based on trust and transparency. 

The companies that choose the path of the customer advocate will not only protect their brands — they will emerge as the undisputed leaders in the new era of car rental.

Nick DiPrima is a senior associate at The Merlin Group. This article was authored and edited according to Auto Rental News editorial standards and style. Opinions expressed may not reflect those of ARN.

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