AI in Sweden

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Trustly, a Swedish open-banking payments company, moved its analytics to Amazon Redshift and Amazon QuickSight and added Amazon Q in QuickSight for natural-language questions. Users grew from 80 to 300, dashboards refresh every 15 minutes instead of three times a day, and over six months staff asked 15,000 questions with 89% accuracy; AWS reports insights 4x faster.

Vattenfall deployed AI-equipped drones at DanTysk and Sandbank offshore wind farms and the 12-meter Blue Essence uncrewed vessel at Hollandse Kust Zuid, with Fugro reporting the uncrewed vessel emits 95% less CO2 than traditional survey vessels.

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Klarna's OpenAI-based customer service assistant, launched in February 2024, handled 2.3 million chats in its first month, automating 67% of conversations and doing the work of about 700 agents. By Q3 2025 it did the work of about 853 agents, but in May 2025 Klarna began rehiring human agents for complex cases and promised customers can always reach a person.

Hexagon worked with AWS's Prototyping and Cloud Engineering team to replace manual digitisation of standard operating procedures for its AcceleratorKMS software with a serverless pipeline: Claude 3.7 Sonnet on Amazon Bedrock extracts each page into structured JSON, Step Functions and Lambda orchestrate processing, and a review interface keeps humans in the loop. Accuracy exceeds 90%.

Klarna deployed an AI-powered customer service assistant that handles 66% of all customer service chats, equivalent to 700 full-time employees. The AI agent autonomously resolves queries related to order tracking, payment plans, refunds, and account management across Klarna's 150 million active consumers and 500,000 merchant partners in 45 countries.

Spotify, headquartered in Stockholm, operates one of the world's largest AI-powered music recommendation systems serving over 600 million users globally. The recommendation engine combines collaborative filtering, natural language processing, and audio feature analysis through deep neural networks to personalize playlists such as Discover Weekly and Daily Mixes for each user. Spotify's ML infrastructure processes billions of user interactions and listening histories to generate real-time recommendations updated every 24 hours. Audio analysis models use convolutional neural networks to extract features directly from raw audio waveforms, enabling the system to recommend new songs with similar acoustic characteristics even before they accumulate listening history.