As a mid-sized Swedish municipality with over 3,500 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.

The challenge

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 the organisation lacked AI solutions that could be used sustainably while aligned with the regulations they needed to follow. 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:

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.

The Journey: How Katrineholm moved from pilots to broad adoption

Katrineholm’s early AI work showed potential but lacked the competence and structure to scale. Competence development became the catalyst: by educating leaders, managers, and key personnel so the entire organization understood what AI could do and how to use it safely.

The first assistant took about three weeks to build and deploy. Today, departments create functioning assistants in a day. The acceleration reflects both increased platform knowledge and organizational AI maturity.

All 6 departments now use Intric, with planned deployment for all 3,500+ employees. Katrineholm has gone from a handful of prototypes to dozens of assistants built across the organization. Examples:

1) The municipality-wide knowledge assistant

Connected directly to the intranet, IKAI 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) 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 Contract Reviewer 

The contract reviewer helped them go through large contracts and interpret them, which then made it possible to review incoming invoices. The review revealed that they had received incorrect billing documentation, and after a legal review, significant amounts were credited. This clearly showed the AI solution's economic effect and laid the foundation for continued automation of invoice control and contract-related processes.

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:

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.

The future for Katrineholm

Katrineholm’s AI journey continues to accelerate. Access to AI is planned to be broadened during 2026 for all 3,500+ employees, meaning everyone will have access to assistants to support their daily work on both computers and mobile devices. Katrineholm will also continue to scale its most successful use cases—particularly within social services.

What started as a pilot has become organizational capability—Katrineholm has not just adopted AI; they have built the infrastructure to continue developing with it.