A shared digital assistant for the public sector
The shared digital assistant for the public sector is a collaboration between Swedish authorities, municipalities, regions, and industry, coordinated by AI Sweden. The objective is to promote national cooperation on AI for text-based tasks and to create conditions for shared solutions in the public sector.
The ultimate goal is to support public sector employees by freeing up their time, allowing them to focus on more creative and interpersonal tasks. Achieving this requires public sector organizations to pool critical resources and share the effort of gathering the data needed to build truly capable and adaptable solutions.
It is a pioneering initiative that will free up time in the welfare sector and open up for more interpersonal and valuable work.
Julia Olander
Innovationsledare på Göteborgs stad
Shaping a user-friendly AI assistant
Building a prototype for a shared digital assistant is one of the identified tasks to support the use of AI in the public sector. Together with project partners, we explore and identify how the prototype should be designed in order to be easy to use and accessible to all staff members, regardless of technical skills.
Examples of tasks the assistant could be able to help with:
- Summarizing and analyzing large amounts of text
- Improving and editing texts for clarity and structure
- Create new texts, such as reports, documents, and applications, in accordance with specific templates and guidelines
- Classifying documents and providing decision support in administrative processes
- Developing personalized support to assist citizens
Annotation lays the foundation for better answers from Svea
During the initiative, participants in the project collectively spent over 5,000 hours annotating training data. In practice, this means rating combinations of questions and answers, data which is now used to train the AI models behind Svea. Read more about this work.
Watch this short video describing how the Knowledge source in Svea works:
A short video describing how the Knowledge source in Svea works.
What do we face ahead?
Public sector employees in Sweden deal with extensive and varied text-related tasks daily. These are essential to fulfill the sector's mission and provide services to citizens but are also often labor-intensive and time-consuming. At the same time, a significant shortage of staff is expected in the sector due to the aging population and declining labour force.
+50%
The number of people aged 80 or older will increase by almost 50% by 2031.
Source: SKR 2022
+410,000
By 2031, the number of workers needs to increase by 410,000.
Source: SKR 2022
Alongside the challenge of a shrinking labour force and the increasing needs of an ageing population, there is also a lack of AI skills, computational power, legal requirements and, above all, the lack of Swedish data that reflects the specific needs of the sector. These challenges are too big for individual organisations, and therefore a broad collaboration across the sector with joint initiatives for AI is required.
AI technology is part of the solution
AI technology, especially large-scale language models, has the potential to greatly support this challenge. In a 2019 report, DIGG estimated that AI technology could create a value of SEK 140 billion annually in the public sector (1). Moreover, the report was written before big language models had had time to prove their enormous value.
The potential of large-scale language models is particularly relevant for public sector organizations as much of the data handled in the sector is text-based. Research also shows that using large-scale language models can significantly increase the efficiency and quality of text-based work (2).
At Almedalen 2025, AI Sweden hosted the seminar “For an AI breakthrough in the public sector - a national responsibility on three levels” Watch the recording (in Swedish):
- Agency for Digital Government (DIGG). (2019). Främja den offentliga förvaltningens förmåga att använda AI
- (2023). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Working Paper 24-013, Harvard Business School.
How will the initiative be implemented?
The initiative is being implemented in three phases. Phase 1 was exploratory and focused on needs assessment, technology development, and establishing processes. In Phase 2, large-scale testing of a prototype (Svea) is being conducted, along with training initiatives and evaluation of the fundamental idea. In Phase 3, the goal is to find a long-term model for operation and continued development.
The project has developed a prototype for a digital assistant called Svea, which can already be used within the participating organizations. Svea is a web-based chat interface designed to be model agnostic and based on open source. This solution runs on infrastructure in Sweden.
In addition, the project requires extensive legal expertise, which is done in collaboration with the participating organizations. The aim is to design the system to be usable and adapted to the legal requirements of public organizations.
Change management is also a major part of the initiative. Employees and different levels of operations are engaged in finding new ways of working and using the digital assistant effectively and responsibly.
Timeline
Phase 1
- Conducted in 2024
- Funded by Vinnova and partners
- From the public sector: Kungsbacka municipality, Tjörn municipality, Gothenburg city, Region Skåne, Region Halland, and Västra Götaland Region
- Intel contributed the hardware infrastructure, including Gaudi2
Phase 2
- Carried out in 2025
- Funded by partners and Vinnova
- The AI infrastructure provider Airon contributed the hardware infrastructure
Over 50 municipalities, regions, and government agencies participated in and co-financed the project:
Ale kommun, Alingsås kommun, Arvika kommun, Burlövs kommun, Eda kommun, Flens kommun, Forshaga kommun, Grums kommun, Göteborgs stad, Göteborgsregionen, Hagfors kommun, Hammarö kommun, Huddinge kommun, Härryda kommun, Höganäs kommun, Inera, Jönköpings kommun, Karlstad kommun, Kil kommun, Kristinehamn kommun, Kungsbacka kommun, Kungälv kommun, Kävlinge kommun, Lerum kommun, Lidköping kommun, Lilla Edet kommun, Luleå kommun, Malmö stad, Mölndals kommun, Partille kommun, Region Halland, Region Skåne, Region Värmland, SKR-arbetsgivarpolitiska avdelningen, Skara kommun, Skövde kommun, Sollentuna kommun, Staffanstorp kommun, Stenungsund kommun, Stockholms stad, Storfors kommun, Sunne kommun, Svenljunga kommun, Svedala kommun, Swedac, Säffle kommun, Tibro kommun, Tjörns kommun, Torsby kommun, Trelleborgs Kommun, Upplands Väsby kommun, Uppsala kommun, Vara kommun and Öckerö kommun.
Phase 3
- Carried out in 2026 and continuing until the turn of the year 2026/2027
- Funded by project partners and Vinnova
- The AI infrastructure provider Airon contributes the hardware infrastructure
More than 120 municipalities, regions, and government agencies are participating in and co-financing the project:
AB Sjöbohem, Ale kommun, Alingsås kommun, Ängelholms kommun, Arbetsmiljöverket, Arvika kommun, Åstorps kommun, Båstads kommun, Bromölla kommun, Burlövs kommun, Eda kommun, Eslövs kommun, Flens kommun, Forshaga kommun, Försvarets materialverk (FMV), Göteborgs stad, Göteborgsregionens Kommunalförbund, Grums kommun, Hagfors kommun, Halmstads kommun, Hammarö kommun, Härnösands kommun, Härryda kommun, Hässleholms kommun, Helsingborg Stad, Hjo kommun, Höganäs kommun, Höörs kommun, Hörby kommun, Huddinge kommun, Inera AB, Integritetsskyddsmyndigheten (IMY), IT kommuner i Skåne AB, Jönköpings kommun, Karlstads kommun, Kävlinge kommun, Kils kommun, Klippans kommun, Kommunförbundet Västernorrland, Kriminalvården, Kristianstads kommun, Kristinehamns kommun, Kronofogden, Kumla kommun, Kungälv kommun, Kungsbacka kommun, Landskrona stad, Länsstyrelsen i Blekinge län, Länsstyrelsen i Dalarnas län, Länsstyrelsen i Gävleborgs län, Länsstyrelsen i Gotlands län, Länsstyrelsen i Hallands län, Länsstyrelsen i Jämtlands län, Länsstyrelsen i Jönköpings län, Länsstyrelsen i Kalmar län, Länsstyrelsen i Kronobergs län, Länsstyrelsen i Norrbottens län, Länsstyrelsen i Örebro län, Länsstyrelsen i Östergötlands län, Länsstyrelsen i Skåne län, Länsstyrelsen i Södermanlands län, Länsstyrelsen i Stockholms län, Länsstyrelsen i Uppsala län, Länsstyrelsen i Värmlands län, Länsstyrelsen i Västerbottens län, Länsstyrelsen i Västernorrlands län, Länsstyrelsen i Västmanlands län, Länsstyrelsen i Västra Götalands län, Lerums kommun, Lidköpings kommun, Lilla Edets kommun, Lomma kommun, Luleå kommun, Lunds kommun, Malmö kommun, Munkfors kommun, Mölndals stad, Norrtälje kommun, Öckerö kommun, Örkelljunga kommun, Osby kommun, Östra Göinge kommun, Partille kommun, Perstorps kommun, Region Halland, Region Jönköpings Län, Region Skåne, Region Stockholm, Region Värmland, Region Västernorrland, Säffle kommun, Sigtuna kommun, Simrishamns kommun, Sjöbo kommun, Skara kommun, Skaraborgs kommunalförbund, Skövde kommun, Skurup kummun, Sollefteå kommun, Sollentuna kommun, Staffanstorps kommun, Statens institutionsstyrelse, Stenungsunds kommun, Stiftelsen Bräcke diakoni, Stockholms stad, Storfors kommun, Swedac, Sunne kommun, Svalövs kommun, Svedala kommun, Svenljunga kommun, Sveriges Riksbank, Tibro kommun, Tidaholms kommun, Tjörns kommun, Tomelilla kommun, Torsby kommun, Trelleborgs kommun, Trollhättans stad, Tyresö kommun, Upplands Väsby kommun, Uppsala kommun, Vänersborgs kommun, Vara kommun, Västra Götalandsregionen, Vellinge kommun and Ystads kommun.
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