As a mid-sized Swedish municipality with over 3,000 employees, Katrineholm faces the same pressure as governments everywhere: deliver more with less. With Intric, they showed that AI can create real value for a municipality—and do so quickly.
Barriers to AI Adoption
Across Sweden and Europe, local governments are under pressure to deliver more welfare with fewer resources. AI is now part of many digitalisation strategies, but in practice it is often limited to small pilots within central IT and digitalisation teams.
Katrineholm's early AI experiments revealed the challenge: identifying use cases was slow, building assistants centrally was resource-intensive, and missing GDPR guidelines made employees hesitant. Most AI platforms required technical skills or even coding—keeping AI locked to specialists instead of enabling frontline staff.
As Shamil, AI lead, put it:
“There was nothing like Intric when it came to user-friendliness. The other platforms were far too technical – you basically had to be able to code to use them.”
Katrineholm needed an AI platform that non-technical staff could use safely and independently, aligned with municipal governance, GDPR and information security. That is why they chose Intric.
How Katrineholm Scaled AI with Intric
Katrineholm’s early AI work showed potential but lacked the competence and structure needed to scale. When Shamil joined, he made competence-building the catalyst: training leaders, managers and key staff so the whole organisation understood what AI could do and how to use it safely.
All 7 major departments now use Intric, with deployment expected across all 3,000+ employees.
The first assistant, ICAI, took about three weeks to build and deploy. Today, departments create working assistants in a single day—sometimes within a two-hour workshop. This acceleration reflects both growing platform familiarity and organisational AI maturity
Examples include:
1) The municipality-wide knowledge assistant
Connected directly to the intranet, ICAI gives staff instant access to routines, guidelines, HR information and policies. It was built and deployed within weeks, becoming a fast, organisation-wide entry point to accurate information.
2) Home-care assistant
Supports home-care staff with routines, decision support and translations. Especially valuable for new staff and employees with Swedish as a second language. Raises the quality of documentation and improves compliance with care routines.
3) The Invoice Case (1.3 million SEK recovered)
By comparing supplier contracts with incoming invoices, the assistant uncovered billing errors where costs should have been included in the base agreement. After legal review, Katrineholm recovered 1.3 million SEK, proving the financial impact of AI and enabling further automation across invoice checking, contract data and coding support.
An organisation in transformation
Within twelve months, Katrineholm moved from isolated AI experiments to organisation-wide AI adoption.
AI maturity has grown dramatically. Staff across all competence levels now understand what AI can do and use it actively in daily work. Perhaps most striking: the transformation reached groups many assumed would resist. As Shamil notes:
"What surprised me most? You have managers about to retire who use AI today. Staff who've worked in care for 30-40 years, who documented on paper and pen—they now have AI on their phone they ask anything. The fear we had that change was impossible—it wasn't, if you do it the right way. If you involve people."
From push to pull. The first assistant took three weeks to build; today, departments create working assistants in a single day, often during a two-hour workshop. They come to the digitalisation team with their own use cases and build solutions themselves. AI is no longer locked in IT—it's a capability across the organisation.
"In the beginning, we had to go out to departments and figure out what they needed. Now it's different. They come to us and say: these are the use cases, and we want to keep building."
The transformation wasn't purely technical—it was cultural, organisational and strategic. And it happened in a year.
What does the future hold?
Katrineholm's AI journey is accelerating, not slowing down. The organisation has moved from proving AI works to embedding it as infrastructure.
Access to AI is being broadened for all 3,000+ employees, making core functionality such as the knowledge assistant easier to use in daily work on both computers and mobile devices. At the same time, Katrineholm is scaling its most successful use cases—particularly in social services and care—and building further on proven results like the invoice assistant.
What started as experiments has become organisational capability—Katrineholm hasn't just adopted AI, they've built the infrastructure to keep evolving with it.
Ready to scale AI across your organisation?
See how Intric helped Katrineholm go from pilot to organisation-wide adoption in 12 months—and book a demo to explore what's possible for your team.
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