Behind Klarna’s AI CEO Clone for Customer Feedback Calls

As AI development accelerates, it is achieving concepts once unimaginable to humans – now, it can clone us.

Klarna, the Swedish buy-now-pay-later financial services company, has launched a customer feedback hotline featuring an AI clone of CEO Sebastian Siemiatkowski trained on his voice and business insights.

Klarna operates as a payment solution provider that allows consumers to split purchases into instalments or defer payments.

The company processes transactions for retailers globally and has built its business model around providing flexible payment options at the point of sale.

How does Klarna’s clone work?

The service allows Klarna's 100 million customers to provide feedback and ask questions through phone calls to an AI system that mimics the company's co-founder.

The technology is Klarna's attempt to replace traditional customer feedback mechanisms with voice-enabled AI interactions.

Additionally, the AI-Sebastian system has been trained using machine learning (ML) algorithms fed with the real CEO's voice patterns, business philosophy and operational experience. 

Klarna's AI infrastructure processes real-time customer conversations

The new hotline service launches initially in Sweden and the US, with plans for expansion to additional markets later in 2025.

Customers can access the service through regular phone calls without additional charges – and each conversation undergoes real-time analysis and transcription using natural language processing technology. 

Upon call completion, the system generates automated summaries that feed directly into Klarna's internal workflow systems.

These summaries reach product development teams immediately, with the company claiming that customer feedback can result in product improvements within 24 hours of submission.

The transcription process relies on speech recognition algorithms that convert audio signals into digital text – as speech recognition technology analyses sound waves, identifies individual words, and constructs coherent sentences from conversational input.

Traditional customer feedback collection methods typically involve surveys, questionnaires and online forms that often produce low response rates. Yet these static feedback mechanisms require customers to navigate multiple pages or answer predetermined questions that may not capture specific concerns or suggestions.

As a result, Klarna's approach eliminates structured questionnaires in favour of open-ended conversations that allow customers to express concerns using natural speech patterns.

The technology aims to capture nuanced feedback that might be lost in traditional form-based systems.

Sebastian Siemiatkowski positions AI hotline against traditional feedback methods

“For far too long, customer feedback has been synonymous with boring surveys and complicated forms that no one reads, 2 Sebastian says.

“We're changing that now. With our new way of collecting feedback, customers can easily say exactly what they think, exactly how they want it – and their ideas reach the right people at our company in real time.”

The CEO hotline forms part of Klarna's broader AI implementation strategy across customer service operations.

The company's existing AI chatbot currently handles two-thirds of all customer chat interactions, processing over 1.3 million cases monthly.

This chatbot deployment has reduced average customer service handling time from 12 minutes to under two minutes while maintaining customer satisfaction scores.

Furthermore, the efficiency gains have enabled Klarna to reduce its customer service workforce requirements by the equivalent of 800 full-time employees.

Already, Klarna has replaced over 1,200 external software-as-a-service solutions with proprietary technology infrastructure. 

The consolidation of external services into internal systems has contributed to revenue per employee increases of 152%, with the company approaching US$1m in revenue per employee annually.

This metric indicates operational efficiency improvements resulting from AI automation across business processes.

Voice cloning technology raises questions about AI authenticity

In the broader picture, the AI-Sebastian system is an advancement in voice cloning technology, which uses deep learning algorithms to replicate individual speech patterns, tone, and inflection. 

Voice cloning requires extensive audio samples from the target speaker to train algorithms on pronunciation, accent and speaking style – meaning that the resulting AI system can generate new speech that sounds like the original speaker saying words they never actually spoke.

However, this technology raises questions about authenticity and customer expectations when interacting with AI systems designed to replicate specific individuals.

Customers calling the hotline will interact with an AI representation rather than the actual CEO, though the system aims to provide responses consistent with Sebastian’s business philosophy.

“With our new way of collecting feedback, customers can easily say exactly what they think, exactly how they want it – and their ideas reach the right people at our company in real time,” Sebastian says.

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