From Vision to Value : An Explorative Study of AI Expectations and Attitudes Toward Integration in Project Management Tools

Sammanfattning

This thesis explores how artificial intelligence (AI) might be integrated as support within C7 Projects, a project management platform developed by Triona. The study aims to identify current challenges, understand user expectations, and investigate attitudes toward AI among both system developers and end users. Using a qualitative research approach, semi-structured interviews were conducted with seven participants, and the data was analysed using thematic analysis. The findings reveal several recurring challenges, such as data quality issues, interface complexity, and lack of system integration. Both user groups expressed cautious optimism toward AI, but from different perspectives: developers focused on technical feasibility and oversight, while end users emphasized transparency, control, and usability. A conceptual idea of implementing rulebased AI is proposed as a low-risk, explainable entry point for AI adoption, especially given current data limitations and early-stage development. The discussion draws on the Technology Acceptance Model (TAM) and interactional perspectives on trust to contextualize these findings.The thesis concludes that successful AI integration will depend not only on technical readiness but also on aligning design with user expectations, transparency, and perceived usefulness. Future research should focus on participatory design and real-world testing of AI features with a broader user base.