Klarna, the Swedish fintech company serving over 150 million consumers globally, faced a customer service scaling challenge that was fundamentally incompatible with their growth trajectory. The company handled millions of customer inquiries monthly across 45 markets and 35 languages, relying on a distributed network of human agents and third-party BPO providers.
Average resolution time hovered around 11 minutes per inquiry, and customer satisfaction scores plateaued despite significant investment in agent training and support infrastructure. The economics of scaling human customer service linearly with transaction volume created a structural margin pressure — each percentage point of growth required proportional increases in support headcount, most of whom were employed by external vendors with high attrition rates.
More fundamentally, Klarna's leadership recognized that traditional customer service was reactive and transactional, rather than predictive and proactive. Customers contacted support when something had already gone wrong, creating friction in the user experience that drove down NPS scores and increased churn risk.
Klarna deployed an AI-powered customer service assistant in partnership with OpenAI, designed to handle the majority of routine customer inquiries end-to-end without human intervention. The system was trained on Klarna's historical support tickets, product documentation, and policy databases, learning to resolve issues ranging from transaction disputes to account management questions.
The implementation prioritized speed and accuracy. The AI assistant was engineered to provide responses in under 2 minutes — a five-fold improvement over human performance — while maintaining or exceeding the quality of human agent interactions. Natural language processing capabilities allowed the assistant to communicate fluently across 35 languages, eliminating the complexity and cost of maintaining multilingual human support teams.
Rather than replacing human agents entirely, Klarna repositioned its workforce to focus on complex cases, regulatory compliance, and quality assurance. The AI assistant handled tier-1 inquiries autonomously, escalating only the 33% of interactions that required human judgment, empathy, or policy exceptions. This hybrid approach preserved the value of human expertise while capturing AI-driven efficiency gains.
“The AI assistant has revolutionized our customer service operations. We are not just cutting costs — we are providing a fundamentally better, faster experience for our customers.”— Sebastian Siemiatkowski, CEO, Klarna
This case study is based on publicly available information about Klarna.
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