Source proof for Finnish authority builds AI-apuri, a RAG chatbot platform where civil servants create team chatbots, with 12 chatbots in production

…analyst Added on: 27 Oct 2026 Updated by: OECD analyst Updated on: 27 Oct 2026 AI-apuri is a commercial platform that allows civil servants to create tailored AI chatbots for specific work tasks. It was introduced to improve access to reliable information and save time in ro…

…that their use complies with Finnish legislation. Results, outcomes and impacts The initiative has led to 12 chatbots in production and over 60 explored use cases, tracked through a structured funnel from idea to deployment. Usage is monitored per chatbot. While some tools handle relatively few question…

…ture allows restricted and sensitive personal data to be processed securely, as inference residency is controlled and training data capture is not permitted. A distinctive feature of the initiative is its “citizen development” model. In…

…andle relatively few questions, a single interaction can save significant time: drafting a reply may save about 30 minutes per case, and translating and formalising a consumer complaint up to 15 minutes. Impact is measured through usage data, funnel progression and case-level time…

…e civil servant, for example by retrieving information or drafting a reply, but the final communication is always reviewed and sent by a human (human in the loop). The platform architecture allows restricted and sensitive personal data to be…

…l training data and cannot reliably rely on curated, task-specific information. Many work processes at the Authority require up-to-date internal guidance, legal interpretations and structured external sources. The initiative leverages retrieval-augmented generation (RAG) architecture, whe…

…ions for success. AI Tags AI-enabling Ecosystem Trustworthy AI AI in Government About the policy initiative Finland Category: AI policy initiatives, programmes and projects Initiative type: AI use cases/projects in the public sector Status: Active Star…

…icy initiative Finland Category: AI policy initiatives, programmes and projects Initiative type: AI use cases/projects in the public sector Status: Active Start Year: 2024 Target Sectors: Public sector OECD AI Principle…

…introduced to address a practical limitation of generic large language models: they generate answers based on their general training data and cannot reliably rely on curated, task-specific information. Many work processes at the Authority require up-to-date internal guidance, leg…

…l training data and cannot reliably rely on curated, task-specific information. Many work processes at the Authority require up-to-date internal guidance, legal interpretations and structured external sources. The initiative leverages retrieval-augmented generation (RAG) architecture, whe…

…-date internal guidance, legal interpretations and structured external sources. The initiative leverages retrieval-augmented generation (RAG) architecture, where chatbots retrieve answers from defined internal and external data sources. This allows more accurate, transparent and context-specific responses while mai…

…ve is its “citizen development” model. Instead of centralised development only, a network of civil servants designs and maintains tailored chatbots for their own teams with support from the ICT unit. This approach has enabled the scaling of use cases across the organisation, an…

…to their team’s needs, configuring them with curated datasets and, if required, instructing them to answer only on the basis of those sources. Current use cases are internal: the chatbot supports the civil servant, for ex…

…that their use complies with Finnish legislation. Results, outcomes and impacts The initiative has led to 12 chatbots in production and over 60 explored use cases, tracked through a structured funnel from idea to deployment. Usage is monitored per chatbot. While some tools handle relatively few question…

…andle relatively few questions, a single interaction can save significant time: drafting a reply may save about 30 minutes per case, and translating and formalising a consumer complaint up to 15 minutes. Impact is measured through usage data, funnel progression and case-level time…

…er case, and translating and formalising a consumer complaint up to 15 minutes. Impact is measured through usage data, funnel progression and case-level time saving estimates. Although individual use cases are limited in scope, the low threshold for creat…

…-date internal guidance, legal interpretations and structured external sources. The initiative leverages retrieval-augmented generation (RAG) architecture, where chatbots retrieve answers from defined internal and external data source…

…analyst Added on: 27 Oct 2026 Updated by: OECD analyst Updated on: 27 Oct 2026 AI-apuri is a commercial platform that allows civil servants to create tailored AI chatbots for specific work tasks. It was introduced to improve access to reliable information and save time in ro…

…that their use complies with Finnish legislation. Results, outcomes and impacts The initiative has led to 12 chatbots in production and over 60 explored use cases, tracked through a structured funnel from idea to deployment. Usage is monitored per chatbot. While some tools handle relatively few question…

…andle relatively few questions, a single interaction can save significant time: drafting a reply may save about 30 minutes per case, and translating and formalising a consumer complaint up to 15 minutes. Impact…

…e initiative leverages retrieval-augmented generation (RAG) architecture, where chatbots retrieve answers from defined internal and external data sources. This allows more accurate, transparent and context-specific responses while ma…