Spain's Social Security Treasury uses AI to summarise and classify citizen appeals in its electronic file system
The General Treasury of Social Security (TGSS) in Spain uses AI inside its SIMAD-SIEE electronic administrative file system to summarise the content of citizen appeals and classify them for processing or redistribution to the right management area. The first phase went live in January 2026, with human oversight at all stages and AI limited to summarisation and classification. The source describes reduced time to understand appeals and more consistent routing but gives no figures; suggested resolution proposals are a planned later phase.
Overview
The General Treasury of Social Security (TGSS) in Spain uses AI inside its SIMAD-SIEE electronic administrative file system to summarise the content of citizen appeals and classify them for processing or redistribution to the right management area. The first phase went live in January 2026, with human oversight at all stages and AI limited to summarisation and classification. The source describes reduced time to understand appeals and more consistent routing but gives no figures; suggested resolution proposals are a planned later phase.
This entry has 12 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
The obligation of public administrations to resolve procedures within the legal timeframe, citizens' right to effective judicial protection and the increasing volume of appeals against decisions of the General Treasury of Social Security made it necessary to consider technological alternatives to expedite the processing and resolution of appeals.
The solution
In the first phase, AI summarises the content of appeals received and processed through the SIMAD-SIEE electronic administrative file system, and the appeals are then classified for proper processing or redistribution to the appropriate management area. Human oversight is kept at all stages, AI use is limited to summarisation and classification, and privacy safeguards are embedded in the file system.
Reported business value
Since January 2026 the system has enabled automatic summarisation and classification of appeals, which the source says has reduced the time needed to understand their content and facilitated faster and more consistent routing. No figures are given. Suggested resolution proposals for case managers are a planned later phase, and greater efficiency is described as expected.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other government & public sector entries in the register.
GovTech unlocks data insights to improve nationwide services with Databricks
Singapore's Government Technology Agency (GovTech) migrated from an on-premises dashboarding system to the Databricks Data + AI Platform on AWS with Unity Catalog and Delta Lake, cutting dashboard creation time from 90 to 30 days, democratizing data across 50% of corporate divisions in the first year, and saving 8,000 labor hours annually.
Estonia rolls out Bürokratt, an AI-guided virtual assistant network for public services
Bürokratt is a network of chatbots deployed on Estonian public sector institutions' websites, letting people obtain information from institutions and use public and information services via virtual assistants. It is a state-created, AI-based digital assistant that helps institutions deliver modern, efficient, around-the-clock customer service using large language models.
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.
Madrid builds VisitMadridGPT on Azure OpenAI to answer tourists in 95+ languages
The City of Madrid, with partner iUrban, built the VisitMadridGPT virtual assistant on Microsoft Azure OpenAI Service to give tourists accurate, real-time, personalized information in more than 95 languages, drawing from the city's official tourism content. Users average 2.8 questions and spend about 4 minutes 18 seconds per session with a low bounce rate, and the city analyzes assistant conversations to identify popular topics and refine its digital marketing strategy.
Was this helpful?
Your feedback helps us improve our use case database
