AI som verktyg för effektivare byggprocesser : En fallstudie av AI-tillämpning i Sh bygg, sten och anläggnings anbudsprocess

Sammanfattning

The construction industry has long struggled with low productivity and a slow pace of digital transformation. Artificial intelligence (AI) holds significant potential to address these inefficiencies, particularly within the tendering process, a resource-intensive and repetitive phase. This study explores how AI-based tools can enhance efficiency in the tendering process at Sh Bygg, a mid-sized Swedish construction company. Six AI use cases were identified through interviews with internal stakeholders at Sh Bygg and subsequently evaluated using the Design Thinking framework DVF: Desirability, Viability, and Feasibility. The evaluation was based on insights from internal and external stakeholders, supported by relevant literature. The analysis shows that the use case sorting of tender documents received the highest overall score, reflecting strong desirability, technical and organizational feasibility, and clear business value. In contrast, use cases such as boundary lists and concept work and system selection scored lower, mainly due to high organizational and technical complexity. The study concludes that targeted AI adoption in low-risk, high-impact areas can deliver substantial value while aligning with Sh Bygg’s strategic goals, such as improved knowledge transfer and reduced dependence on individual expertise. These findings may support other mid-sized construction firms in identifying and prioritizing viable AI initiatives.