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Good practice Imported

Kela — AI document pre-processing for benefit applications (Finland)

Finland · Helsinki · See the Finland profile · See the Helsinki profile

Evidence: Descriptive / self-reported Top 14% 80/100 · Ask Evidence Copilot about this practice

Kela automates the pre-processing of documents submitted with benefit applications — classifying, converting and routing attachments — saving an estimated 38 full-time equivalent years of caseworker work annually across Finland's national social security system.

38 FTE years
Estimated annual caseworker time saved (annual)
Kela — AI document pre-processing for benefit applications (Finland)

Details

Maturity
Established
Promoter
Kela (Social Insurance Institution of Finland / Kansaneläkelaitos)
Period
2022-present
Keywords
document classification, natural language processing, benefit administration, automation, social security

Context

Kela, Finland's national social insurance institution, has deployed an AI platform since 2022 to pre-process attachments submitted through its OmaKela digital portal, converting files, classifying document types, and routing them to benefit specialists. The system operates at national scale across Finland's social security system, which serves around 5.6 million residents.

Activities

The AI platform converts submitted files to required formats, identifies document types such as medical certificates, income statements, and identity documents, and routes them to the appropriate benefit specialists. Kela also maintains a public AI register documenting all its AI applications, publishes information on automated decision-making for specific benefit types, and has published responsible-AI principles with ongoing model monitoring.

Results

The OECD's 2026 report 'Building an AI-Ready Public Workforce' cited the system as saving an estimated 38 full-time-equivalent years of caseworker labour annually. Finland's Chancellor of Justice reviewed Kela's automated decision-making in 2020, confirmed legal compliance, and identified areas for procedural improvement.

Implementation

Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.

Commonly funded by

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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