Transforming Project Reporting: Generative AI for Intelligent, Automated, and Data-Driven Communication

Abstract

Abstract Project reporting remains one of the most critical yet labour-intensive components of project management, requiring continuous data consolidation, narrative writing, and alignment with stakeholder expectations. Traditional reporting processes often suffer from inconsistency, delays, and limited analytical depth, ultimately affecting decision-making and communication quality. With the acceleration of digital transformation, generative artificial intelligence (GenAI) has emerged as a promising solution to automate reporting workflows while enhancing precision, clarity, and timeliness. Leveraging technologies such as large language models, natural language generation, and automated summarization, GenAI can convert complex project data into structured, context-aware, and audience-tailored reports.This study investigates how GenAI can be effectively integrated into project reporting, examining its benefits, limitations, and organizational adoption factors. Using literature review, comparative analysis, and real-world case studies, the research highlights GenAI’s potential to streamline documentation, reduce human error, and improve stakeholder satisfaction. The findings contribute to the evolving discourse on AI-enabled project governance and offer practical frameworks to guide organizations in transitioning toward automated reporting ecosystems.

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