Overview of artificial intelligence-based project management tools for business representatives

Abstract

The study aimed to identify effective artificial intelligence tools that can improve the productivity, accuracy, and flexibility of management processes in the field of project management. The study analysed the functionality of digital project management platforms and artificial intelligence-based tools, as well as cases of their practical application in international and Ukrainian companies. Trello, Wrike, Monday, Microsoft Power Automate, Taskade and Timely were noted to differ in terms of automation, integration, process visualisation and flexibility. For example, Microsoft Power Automate provides the setup of automated task flows, and Timely provides accurate time tracking. Chat Generative Pretrained Transformer, Gemini, International Business Machines Corporation, Watson Assistant, Jasper, ClickUp Artificial Intelligence Assistant and Fireflies tools increase analytics, personalise processes, support natural language interaction and automate routine tasks. The analysis of the cases proved the effectiveness of artificial intelligence. Duolingo implemented Chat Generative Pre-trained Transformer for adaptive learning, Webster First Federal Credit Union uses Jasper to create marketing content, Lulu Press uses ClickUp Artificial Intelligence Assistant to optimise task management, and Moonfrog Labs integrated Fireflies to analyse online meetings. Asana, used by Kenshoo Skai, improved the coordination of multichannel campaigns, while Zoho Projects at Sgurr Energy increased control over technical phases of projects. Ukrainian examples also demonstrated the successful integration of artificial intelligence tools. Ajax Systems implemented relevant solutions for real-time security monitoring, Nova Poshta optimised logistics and customer support, and Liga:Zakon automated the processing of legal information. The analysis of strengths, weaknesses, opportunities, and threats showed that artificial intelligence tools contributed to the automation and analytical nature of project management, although they required significant resources and specialised training. The practical significance of the study is determined by the identification of tools that can be integrated into management processes to achieve greater efficiency.