AI use cases in Finland
7 documented implementations
Finnish ministries pilot generative AI on Finnish language models for legislative drafting and consultation statement summaries
Sitra funded two pilots with the Finnish Ministry of Transport and Communications, the Prime Minister's Office and the Ministry of Justice. One further trained Finnish language models (FinGPT, Poro) on legislative texts to support drafters, with a demo service by Futurice. The other produced draft summaries of consultation statements, with a demo service by SiloGen AI. Pilots ran January to June 2024.
Finnair's AI Agent Sisu Resolves 80% of Customer Service Chats with Agentforce
Finnair built Sisu, an AI agent powered by Salesforce Agentforce, to instantly answer customer questions about luggage, check-in and flight extras on its website and app, unifying data from Service Cloud, Amadeus reservations and Finnair Plus loyalty details via Data 360, and escalating complex cases to reps with full context, resolving 80% of customer service chat inquiries.
City of Helsinki pilots watsonx.ai for multilingual customer care chatbot translation
The City of Helsinki collaborated with IBM Client Engineering and IBM Consulting on a Proof of Value testing whether IBM watsonx.ai could translate foreign-language questions into Finnish for its customer care chatbot, which supports Finnish, English, and Swedish. Watsonx.ai scored 0.90 on the COMET machine-translation metric for English-to-Finnish translation (versus 0.91 for the incumbent system) and 0.87 for Swedish-to-Finnish (versus 0.86), performing on par with the city's existing translation solution.
KONE deploys generative AI Technician Assistant to speed elevator and escalator field service
KONE, the Finland-based elevator and escalator company, built a Technician Assistant using Claude 3 through Amazon Bedrock to help field technicians resolve equipment issues more efficiently. The assistant supports more than 40,000 field technicians per day and handles approximately 30,000 technical help desk calls monthly, speeding resolution and improving service.
Using data to power-fuel the transition to a carbon-neutral world
Helen, Helsinki's energy utility, built a centralized data and AI platform on Databricks to power forecasting and optimization models for its district heating system serving about 90% of Helsinki's population, processing real-time streaming sensor and IoT data to optimize distributed energy resources and EV charging placement as part of a plan to cut carbon emissions over 80% by decommissioning coal plants.
City of Lohja creates chatbot to power document insights with Oracle AI solution
The Finnish city of Lohja, working with Oracle partner Miracle Finland Oy, built an internal support chatbot using OCI Enterprise AI, Oracle Autonomous AI Lakehouse, Oracle AI Vector Search, and Oracle Graph. The chatbot connects large language models to analyze internal documents and extract entities such as projects, decisions, and people, combining graph and vector queries to answer approximately 85% of HR and ICT helpdesk support questions.
Supermetrics: Helping Marketers Redefine Efficiency with AI-Powered Data Analysis
Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.


