Fenix ​​– AI-based decision support for reuse of building materials and building components

The Fenix project aims to develop a prototype for an online-based service that allows users to ask questions about their BIM models in plain language. Fenix aims to democratize access to building information and enable sustainable decision-making in construction projects by using advanced AI technology to provide users with an easy-to-use decision support system for choosing the best options for reusing materials in construction and renovation projects.

The project's focus is on optimizing sustainability, business models, and the digital economy. The construction sector is a significant source of greenhouse gas emissions, which can be reduced by using reused materials. Building Information Modeling (BIM) is a way to gain a comprehensive overview of materials, allowing all data about a building to be collected in a 3D model with all its components. However, there are challenges in implementing BIM and providing information to various users in the construction industry.

The project aims to facilitate access to building information and decision support, including promoting equality in the sector, focusing on the life cycle perspective, and supporting industry transformation. Many working on sustainability issues are women, while most working on technology in the construction industry are men.

Therefore, women working on sustainability may depend on information from men to perform their work in the construction industry. The project strives to promote circular resource management, improve the quality of the built environment, and reduce greenhouse gas emissions in line with Sweden's climate goals for 2030.

The project involves innovations, new applications, and business models in the construction sector.

Stakeholders include property companies like Higab, engineering consultants like Plan B and Yoin Technologies, as well as small and medium-sized enterprises and municipalities. It is especially important for smaller actors, such as municipalities, who may not have the resources to employ personnel with expertise in BIM.

The project explores the possibility of offering digital services that enable sustainable construction and decision-making based on data and AI instead of traditional hourly billing, which is crucial for the long-term survival of consulting firms.

The project aims to understand user needs, map current workflows, assess the willingness of property companies to pay, evaluate the performance of the AI model, and disseminate the results to relevant projects and organizations, including.

The project's methodology is based on Scrum, which is a project management methodology that promotes collaboration, transparency, and continuous improvement by organizing work into short cycles with recurring evaluation of results.