CONCEPTUAL MODEL OF THE STRUCTURE OF AN INFORMATION TECHNOLOGY FOR ORGANIZING THE AUTOMATED EXECUTION OF DESIGN TASKS IN IT-PROJECTS

Abstract

The article explores the problem of enhancing the efficiency of managing task execution in IT projects, particularly under conditions of dynamic changes in task structures and a diversity of specialist competencies. The importance of minimizing manual intervention in task distribution processes is emphasized, along with the need for rapid decision-making – both of which positively influence timely project implementation and rational resource utilization.To address these challenges, a conceptual model of an Information Technology (IT) structure has been developed. This model integrates a modular approach, graph databases, and elements of artificial intelligence. It consists of four key modules – planning, dispatching, monitoring, and analytics – as well as a corresponding database for data storage. The planning module is responsible for generating a list of tasks, prioritizing them, and identifying resource constraints based on external inputs, including data from corporate ERP/CRM systems. The dispatching module performs automated selection of the most suitable executors using a graph-based representation of relationships between tasks and potential performers. The analytics module applies machine learning methods to predict the time of task execution and assess risk factors, relying on historical data stored in the graph database. The monitoring module provides real- time tracking of task statuses and visualizes project progress for all stakeholders, enabling prompt responses to deviations from the planned course. A key advantage of the developed model is its transparency and consistency in data exchange between modules through standardized interfaces. As a result, each IT component plays its role in retrieving, processing, storing, and transmitting information, forming a unified and adaptive decision-support mechanism.The proposed model aims to reduce bottlenecks in workload distribution and increase the accuracy of task completion forecasts. Its implementation will contribute to improved management of IT project execution through automated resource allocation, faster task assignment, and more effective control over task performance. In the future, the described IT structure is planned to be implemented as a fully functional information system capable of operating in real-world distributed IT project environments.