20.500.12556/DKUM-99010 From traditional to AI-augmented project management rethinking governance and managerial roles The rapid diffusion of artificial intelligence (AI) is fundamentally reshaping managerial work and governance structures in project-based organizations. As projects increasingly function as primary vehicles for digital and sustainability-driven transformation, traditional project management models - grounded in linear planning, human-centered decision-making, and static governance arrangements - face growing limitations in coping with heightened complexity, uncertainty, and interdependence. While existing research has largely focused on AI as a technical tool for improving forecasting, monitoring, and operational efficiency, its broader implications for project governance and managerial roles remain underexplored. This conceptual paper examines the transition from traditional to AI-augmented project management through a systematic synthesis of literature from project management, organizational governance, decision-making, and artificial intelligence. The analysis highlights how AI reshapes key phases of the project lifecycle, alters decision-making logics, and reconfigures the role of the project manager from a primary decision-maker toward a sense maker, orchestrator, and steward of AI-supported decisions. Building on this synthesis, the paper introduces the concept of AI-augmented project governance as a theoretical framework that addresses emerging challenges related to accountability, transparency, and alignment with sustainability and ESG principles. The paper concludes by outlining implications for project management theory and proposing directions for future empirical research. AI-augmented project management project governance managerial roles Decision-making in projects AI-augmented project governance sustainability and ESG true false true Angleški jezik Angleški jezik Znanstveno delo 2026-07-24 13:40:24 2026-07-24 13:40:25 2026-07-25 03:08:13 0000-00-00 00:00:00 2026 0 0 Str. 445-464 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2026-07-03 005.8:004.8 283282435 286001411 10.18690/um.epf.7.2026.24 https://press.um.si/index.php/ump/sl/catalog/book/1126/chapter/1309 1 7809f5ff-8754-11f1-8243-00155d0001be https://dk.um.si/Dokument.php?lang=slv&id=208599 RAZ_Kocet_Aljaz_2026.pdf RAZ_Kocet_Aljaz_2026.pdf 1 E8DDBB4A92D0673ADB7715F73894F564 a558091520ffe6408d46e7dd01337bb8b4dd6c892dd9235578be685d4cee5e93 8b2cf342-8754-11f1-8243-00155d0001be https://dk.um.si/Dokument.php?lang=slv&id=208600 Ekonomsko-poslovna fakulteta 0 0 0