Vol. 3 No. 2 (2023): Journal of AI-Assisted Scientific Discovery
Articles

Automating Project Progress Reporting Through AI: Reducing Administrative Overhead and Improving Transparency

Emily Johnson
Assistant Professor, Department of Management, University of Washington, Seattle, USA
Cover

Published 06-11-2023

Keywords

  • artificial intelligence,
  • project progress reporting,
  • automation,
  • reporting accuracy,
  • project management

How to Cite

[1]
Emily Johnson, “Automating Project Progress Reporting Through AI: Reducing Administrative Overhead and Improving Transparency”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 426–431, Nov. 2023, Accessed: Nov. 12, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/166

Abstract

In the contemporary project management landscape, the efficiency of project progress reporting is crucial for success. Traditional reporting methods often involve significant administrative overhead, detracting from strategic activities. This paper explores the potential of artificial intelligence (AI) to automate project progress reporting, thereby reducing administrative burdens for project managers and enhancing transparency and accuracy in reporting. By employing AI-driven tools, organizations can streamline data collection, analysis, and dissemination, allowing project managers to focus on critical decision-making processes. The study examines various AI applications in project reporting, evaluates their impact on administrative efficiency and reporting accuracy, and presents case studies demonstrating successful implementations. The findings suggest that AI-based automation not only improves reporting processes but also fosters a culture of transparency and accountability within project teams.

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