Optimizing request for information (RFI) prioritization with machine learning

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings As conflict resolution and communication tools, RFI’s are key for tackling issues before they grow, especially in complex projects such as the construction industry. In the article by Yilmaz et al. (2025), the authors found empirically that machine learning models enable the prediction of RFI resolution times with high accuracy, allowing for prioritization of the largest tickets and reducing backlog for optimal resolution times and reduced costs. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.