Københavns Ejendomme: AI strengthens decision-making and planned maintenance

Københavns Ejendomme has gained a new strategic overview of its extensive property portfolio. With AI analyses and data integration from proprty.ai, the municipality can now make faster, more informed decisions and shift focus from reactive repairs to planned maintenance.

Challenge: Lack of overview and fragmented data

Managing hundreds of buildings and large volumes of data made it difficult for Københavns Ejendomme to establish a valid, unified decision foundation. Data was spread across multiple systems, and ensuring data quality and governance required significant resources.

“We have a lot of fragmented data, and when we need to make decisions across our portfolio, the data foundation is not always reliable enough. That makes it harder to manage both maintenance and CO₂ considerations,” says Michael Friis Ørsted, Head of Property Data and Sustainability.

At the same time, tight budgets increased the need to prioritise investments precisely and avoid costly, unplanned repairs.

Solution: AI-based analyses and a shared data foundation

With proprty.ai, Københavns Ejendomme now has a platform that consolidates and analyses data across the entire portfolio. The solution delivers AI-based condition assessments, remaining lifetimes, and financial insights, enabling decisions to be made on a solid and transparent basis.

“With proprty.ai, we get a tool that shows where data quality is lacking, so we can focus our efforts where it matters instead of launching large, resource-heavy data projects,” says Michael Friis Ørsted.

The platform makes it possible to combine public and internal data, integrate CO₂ calculations, and support compliance with energy performance improvement requirements.

Results: From reactive operations to strategic maintenance

Københavns Ejendomme has achieved a significantly improved overview of the technical condition of its buildings and a stronger foundation for management reporting.

“We can now monitor that we are actually moving from reactive to planned maintenance and document the impact in our reporting,” says Michael Friis Ørsted.

Sune Svendsen, Strategic Planning Coordinator, adds:

“AI-based condition assessments allow us to prioritise far more precisely. We save time, reduce fire-fighting, and gain objective data across the entire portfolio.”

The result is fewer unnecessary repairs, better use of resources, and more credible analyses for both operational and political decision-makers.

Looking ahead: A data-driven foundation for CO₂ reduction

Københavns Ejendomme continues its collaboration with proprty.ai to expand analyses with CO₂ data and energy impact, enabling maintenance and renovation decisions to be made with climate considerations at the forefront.

“The collaboration gives us a tool developed together with the industry, and one that helps us move closer to our sustainability goals,” concludes Michael Friis Ørsted.

Video interviews: Watch Københavns Ejendomme talk about their collaboration with proprty.ai

🎥 Michael Friis Ørsted, Head of Property Data and Sustainability – “AI strengthens data quality and management reporting”

🎥 Sune Svendsen, Professional Coordinator, Strategic Planning – “AI helps us plan maintenance more strategically”