Guest article by CEO Holger von Seherr-Thoss

AI in Automotive CX: The difference is made in the moment of interaction

Artificial intelligence has made a measurable impact on customer experience in the automotive industry in recent years. Today, feedback is systematically collected, consolidated across multiple touchpoints, and analyzed in real time. AI helps structure large volumes of data, identify patterns, and set clearer priorities. 

Especially in complex dealer networks, this is a major step forward. Transparency emerges where previously individual perspectives dominated. Differences between locations become visible, and critical developments are identified earlier. In this sense, AI is no longer a topic of the future—it is an integral part of modern CX management. 

And this is exactly why the key question is shifting. 

AI has significantly advanced Customer Experience

Artificial intelligence has made a measurable impact on customer experience in the automotive industry in recent years. Today, feedback is systematically collected, consolidated across multiple touchpoints, and analyzed in real time. AI helps structure large volumes of data, identify patterns, and set clearer priorities. 

Especially in complex dealer networks, this is a major step forward. Transparency emerges where previously individual perspectives dominated. Differences between locations become visible, and critical developments are identified earlier. In this sense, AI is no longer a topic of the future—it is an integral part of modern CX management. 

And this is exactly why the key question is shifting. 


The decisive moment lies in the interaction 

Today, the question is less about whether data exists or how it is analyzed. What truly matters is what happens next—in the moment of customer interaction. 

Because this is where the actual customer experience is created. 

A workshop visit, a consultation at the dealership, or an unexpected service situation are not abstract processes—they are real interactions. This is where it is decided whether a customer builds trust, whether a problem is resolved satisfactorily, and whether a single experience turns into long-term loyalty. 


AI creates clarity—but does not replace experiences 

In this context, AI can deliver significant value. It can provide guidance, highlight anomalies, and make priorities visible. It can filter relevant signals from thousands of feedback entries and ensure that critical issues are not overlooked. In doing so, it lays the foundation for better and faster decisions. 

What it cannot do is replace the interaction itself. 

Whether a customer feels taken seriously, whether a conversation happens on equal footing, or whether a problem is convincingly resolved—these are decided in direct contact. These are the moments when analysis turns into actual experience. 


From insight to real experience 

This is where the central challenge in automotive CX lies today: not in understanding data, but in consistently translating insights into behavior. It is about ensuring that insights reach the right people—and have the right impact at the right moment. 


The new balance in Automotive CX 

The discussion around artificial intelligence falls short if it focuses solely on technological capabilities. What matters is not what can be automated, but how technology and human action effectively work together. 

The future of customer experience in automotive will not be defined by an “AI-first” mindset. It will be defined by integration. AI brings speed, structure, and direction. Humans bring context, accountability, and relationships. 

The difference is made where both come together—in the moment of interaction. 

Because in the end, customers do not remember systems or analyses. 
They remember how they were treated. 

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