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Signature Projects


Added by:   National contact point
Added on:   01 Oct 2025
Updated by:   OECD analyst
Updated on:   25 Dec 2025

The Signature Projects in Denmark test AI applications in the public sector to improve sustainability and reduce CO2 emissions. AI is applied in areas such as energy management, fleet optimisation, and flood forecasting. The projects aim to make public services more efficient and environmentally friendly.

Name in original language

Signaturprojekter

Initiative overview

The Signature Projects initiative was launched in 2020 to explore how AI technologies can improve public sector operations while contributing to climate and sustainability goals. The initiative supports testing and implementation of AI-driven solutions across multiple areas of municipal and public services.

Key focus areas include:

  • Energy optimisation of municipal buildings to reduce energy consumption and emissions
  • FleetOptimiser, which uses AI to manage municipal vehicle fleets efficiently and promote climate-smart driving
  • Forecasting tools to support planning, mapping, and flood warnings in rural and urban areas
  • Optimised building usage through AI to manage heating and resource allocation

By using AI to make operations more data-driven and efficient, the initiative aims to:

  • Reduce CO2 emissions across public sector activities
  • Save resources and costs for municipalities
  • Provide decision support tools for sustainable planning and service delivery

Name of responsible organisation (in English)

Danish Agency for Digitisation

About the policy initiative


Organisation:

  • Danish Agency for Digitisation

Category:

  • AI policy initiatives, programmes and projects

Initiative type:

  • Other AI policy initiatives, programmes and projects

Status:

  • Active

Start Year:

  • 2020

Binding:

  • Non-binding