Insights
Stay updated with expert insights, technology trends, and digital innovation stories from Tieto.

E-invoicing is no longer just about efficiency — it’s about compliance. Discover how evolving regulations and Tieto’s BIX Compliance Gateway can help you stay ahead and simplify complexity.
When Swedish regions review their electronic health record systems, it is easy to start at the wrong end of the process: Which system should we buy? But the more important question is often a different one. Which information architecture will give healthcare the best conditions for continuous development over time?
Over the last months, we have been experimenting with AI in our Quality Assurance process – not as a replacement for QA engineers (QAs), but as a practical assistant for test design, review, SQL support, documentation, and structured thinking. Our main question was simple: where can AI reduce repetitive work, improve structure, and help QAs focus on tasks of a more analytical nature?
At Vitalis, we demonstrated what happens when AI moves from general promises into real-world workflows in healthcare and social care. The focus was on medical-record summaries, better documentation, quality assurance and more usable healthcare data—but also on what is required for these solutions to work in practice: clear sources, quality-assured guidelines and integration with the systems that organisations already use.
Network automation projects have a reputation problem. Too many of them start with great ambition, consume years of effort and budget, and end up delivering something that's already outdated by the time it ships – or worse, never ships at all. The problem isn't a lack of effort or talent – often, it's a lack of foundation. Without the right framework to build on, even the best automation ideas struggle to scale, integrate, or last.