Artificial intelligence streamlines social and health services in the Päijät-Häme welfare region
The Päijät-Häme Welfare Region
The Päijät-Häme Welfare Region has taken a major step by implementing AI in its customer service. This new solution, built on a large language model, improves accessibility and eases the workload of professionals. It also serves as a prime example of how AI can solve challenges in social and healthcare services.


AI in customer service
Rami Autio, CDO and product owner for digital services, highlights the high expectations for AI across welfare regions. He believes that cost savings enabled by AI and support tools in the coming years may be critical for survival given the current financial pressures.
Päijät-Häme and other regions are facing tight resources, and a key challenge lies in guiding customers effectively. The region spans several municipalities with varied health services. Small teams may receive thousands of weekly calls, and they are legally required to maintain a high service quality. To address this, they decided to add a conversational, natural language–based advisor on their updated website, aiming to reduce pressure on call centers, improve discoverability of services, and steer users toward the right channels.
They selected twoday’s AI Agent following a tender process. Autio said: “twoday’s solution was the most advanced, cost-effective, and manageable over its lifecycle.”

Benefits of the new AI assistant
Replacing the older chat solution, the new AI-powered advisor offers many benefits, aiding user information retrieval and alleviating staff workload. It answers questions and guides users to proper services.
“We wanted an interactive conversational style without compromising on speed or quality. In twoday, we succeeded excellently,” Autio praises.
Anneli Vitikainen, head of AI at twoday, emphasized their experience: “With over 300 use cases and more than 200 clients, we have the expertise and confidence to deliver AI initiatives.”
Compared to the previous hybrid bot, the advanced solution supports vast data sources and flexible prompt engineering by just one person. It learns from conversations, recognizing patterns and delivering highly tailored responses.

Ongoing development & new features
The chatbot is trained using website and other data sources, employing deep learning and natural language processing. Training is continuous, ensuring accurate service without compromising data or patient security.
“When serving such a broad public, it's important that systems are secure and information is expert-verified,” Vitikainen states. The service does not provide medical advice and is not a medical device.
Deployment was far faster and more streamlined than prior implementations.
“twoday executed the project excellently and we are very satisfied with the development process. The transparent and strictly focused monitoring model for the different phases of the project gave clarity on where we are going.”
Project manager Tuukka Heinonen also thanked the region’s professional project team.
Future plans include better support for proxy use and improved information retrieval, leveraging evolving language models to offer multilingual, empathetic interactions. Autio adds that AI will free resources for more demanding tasks and foster a positive, secure experimentation culture.
In his summary: “This project is an excellent example of how AI can streamline public services and enhance customer experience.”
Interested? Leave your contact details and we'll be in touch.
Other success stories with our customers

Visit Finland's digital services support sustainable development and internationalization in the tourism sector
Visit Finland's digital services, DataHub and Sustainable Travel Finland, support the sustainable development and internationalization of the tourism sector by providing Finnish companies with effective tools. With these services, Finland strengthens its position as the world's most sustainable trav...

Driving Change: How Fintraffic Mobile Improves Traffic Safety and Efficiency
Fintraffic is a state-owned company under the Finnish government that manages traffic across land, sea, and air. It also aims to promote the use of traffic data and support the growth of the entire transport and logistics sector.

Precise forecasting and rapid response to business changes - RELEX uses pigment for business planning
For years, RELEX has relied on Excel as the tool for financial planning, but with the growth of the company, it began encountering increasing challenges with scattered data and manual processes. Moving to Pigment solution brought significant benefits, such as increased transparency, the reduction of...