Teams | Collaboration | Customer Service | Project Management

M-Files is no newcomer to digital technologies. Quite the opposite. "We've been working with machine learning and artificial intelligence for decades. That’s the foundation for why our solution is among the top AI-powered platforms on the market today. It helps businesses of all sizes and across all industries improve information management, compliance, and productivity," says Stig-Arne Ryeng, expert in digitalization and information management at M-Files.

Choosing the right document management system (DMS) reduces friction, improves collaboration, and helps avoid costly errors. This guide walks through what to look for in a DMS and how to deploy it smoothly.

A document management system (DMS) is software that helps organizations store, classify, secure, and automate documents, cutting costs and improving team efficiency.

On April 10, 2025, leading experts and innovators gathered in Stockholm to explore how AI and innovation can shape the future of businesses. The event, sponsored by Microsoft and M-Files, featured a series of inspiring presentations and discussions on how AI can act as a catalyst for growth and efficiency. AI as a Catalyst for Growth One of the most prominent conclusions from the event was that AI has the potential to exceed expectations and create significant value, especially for larger companies.

Your documents are either worth their weight in gold—or worthless. What makes the difference? Accessibility. Even the most important information loses its value if it can’t be retrieved quickly and easily. M-Files makes it possible to find, use, and share documents— the right information, at the right time, with the right person. Simple, efficient, and without unnecessary clutter.

Companies lose valuable time and resources when intranet content updates stall in administrative queues. The impact becomes clear when a department head submits critical policy revisions, but three weeks later, employees still reference outdated procedures. Projects stall, compliance risks increase, and frustration spreads throughout the organization.

In a recent KMWorld article, M-Files Senior Director of Product Management, Frank Taliano, explores a persistent challenge in knowledge management: How can organizations efficiently access, share, and reuse institutional knowledge to drive efficiency? While technology has evolved, the core principles of KM remain the same—structuring information through metadata, taxonomies, and workflows to enhance both knowledge and document management, making problem-solving repeatable.