Abstract

The paper explores the integration of artificial intelligence (AI) functionalities in project communication management (PCM), highlighting its application areas and associated risks. It outlines how AI technologies support key PCM activities such as communication planning, execution, and monitoring, while also addressing key challenges such as data privacy, bias, and over-reliance on automation. The paper defines PCM and presents a comprehensive list of its tasks and processes. A content analysis of AI tool webpages is conducted to identify applications offering AI-based functionalities supporting specific PCM tasks. The empirical section presents findings from a survey of project professionals, revealing which communication management tasks are currently supported by AI in practice and highlighting existing gaps. Notably, over 40% of respondents reported working primarily in agile project environments, providing insights into how AI tools are used in adaptive, fast-paced contexts. The study offers a grounded perspective on the evolving role of AI in PCM across various project management approaches.

Recommended Citation

Muszyńska, K. & Marx, S. (2025). AI-based Functionalities for Project Communication ManagementIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.20

Paper Type

Short Paper

DOI

10.62036/ISD.2025.20

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AI-based Functionalities for Project Communication Management

The paper explores the integration of artificial intelligence (AI) functionalities in project communication management (PCM), highlighting its application areas and associated risks. It outlines how AI technologies support key PCM activities such as communication planning, execution, and monitoring, while also addressing key challenges such as data privacy, bias, and over-reliance on automation. The paper defines PCM and presents a comprehensive list of its tasks and processes. A content analysis of AI tool webpages is conducted to identify applications offering AI-based functionalities supporting specific PCM tasks. The empirical section presents findings from a survey of project professionals, revealing which communication management tasks are currently supported by AI in practice and highlighting existing gaps. Notably, over 40% of respondents reported working primarily in agile project environments, providing insights into how AI tools are used in adaptive, fast-paced contexts. The study offers a grounded perspective on the evolving role of AI in PCM across various project management approaches.