Intelligent decision support in organizational management of software project development
Abstract
Intelligent decision support in organizational management of software project development
Incoming article date: 13.09.2025Rapid digitalization and the transition to flexible management methodologies pose fundamentally new challenges for IT project managers. Previously, classical planning schemes ensured the stability of processes, but today they are increasingly becoming vulnerable to chaotic requirements and staffing shortages in the industry. Paradoxically, technological progress, which generates these challenges, simultaneously offers tools to overcome them — intelligent assistants begin to play the role of strategic partners in decision-making. The central element of the study was an experiment on the integration of a cognitive assistant into the Timetta company's workflows. An analysis of the twelve-month implementation cycle revealed a curious pattern: the combination of generative language models with predictive analytics not only optimized routine operations, but also changed the very logic of interaction in teams. Automation of processing 63% of typical requests through NLP mechanisms freed up resources for solving creative tasks, which affected key metrics - reaction time was halved, and the employee loyalty index reached record levels. An unexpected discovery was the "synergy zone" between artificial and human intelligence. Contrary to the expectations of skeptics, algorithms have not replaced managers, but have become a kind of "cognitive enhancer." Dynamic dashboards and scenario risk modeling have transformed not so much the processes as the thinking of project participants. However, the success of this collaboration turned out to be fragile – the efficiency of the system dropped sharply when trying to completely replace specialists, which underscores the importance of balance in hybrid management models. The practical results of the research raise new questions for the community. How can algorithms be customized to suit the cultural characteristics of the teams? What ethical framework should be established for AI intermediaries in conflict situations? The answers to these challenges will be crucial for the next stage of the evolution of project management, where technological power will not be a competitor, but a continuation of human expertise.
Keywords: organizational management, software projects, intelligent decision support system, knowledge management, ontology, artificial intelligence, risk management, predictive analytics, resource allocation, flexible management