kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университет10.55452/1998-6688-2025-22-3-381-389kaz29-2141Research ArticleЭКОНОМИКА И БИЗНЕСECONOMY AND BUSINESSИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В УПРАВЛЕНИИ ПРОЕКТАМИ: ОБЗОР И ОЦЕНКА КРИТИЧЕСКИХ ФАКТОРОВ УСПЕХАARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT: REVIEW AND ASSESSMENT OF CRITICAL SUCCESS FACTORShttps://orcid.org/0009-0007-9753-3071ЖуматаеваА. Г.ZhumatayevaA.

магистр, младший научный сотрудник

г. Алматы

Master's degree, junior researcher

Almaty

asyl.zhumatayeva@bk.ruhttps://orcid.org/0000-0003-1003-176XМукашевЕ. Б.MukashevY.

PhD, ассоциированный профессор

г. Алматы

PhD, Associate Professor 

Almaty

e.mukashev@kbtu.kzКазахстанско-Британский технический университетКазахстанKazakh-British Technical UniversityKazakhstan202527092025223381389Copyright © Жуматаева А.Г., Мукашев Е.Б., 20252025Жуматаева А.Г., Мукашев Е.Б.Zhumatayeva A., Mukashev Y.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/2141

Технологии искусственного интеллекта (ИИ), такие как машинное обучение, прогнозная аналитика и обработка естественного языка, все больше интегрируются в рабочие процессы проектов в организациях. Однако, в то время, как ИИ повышает эффективность, автоматизацию и принятие решений, многие организации испытывают трудности с технологической инфраструктурой, готовностью персонала и соблюдением нормативных требований. Целью данного исследования является проведение обзора и оценки критических факторов успеха (КФУ), которые влияют на ход внедрения технологии ИИ в управлении проектами. На основе методологии библиометрического анализа и экспертной оценки, были изучены передовые исследования по тематике, выявлены основные направления развития области и КФУ, способствующие эффективному внедрению технологии ИИ. Выводы показывают, что успешная интеграция ИИ требует поддержки высшего руководства, сильного лидерства, организационной гибкости, компетентности персонала и технологической готовности. Полученные результаты будут полезны проектным менеджерам в организациях, которые планируют внедрение ИИ для повышения эффективности их рабочих процессов и проектов. Применение 6 КФУ в системе управления проектами позволит организациям наиболее адаптивно и плавно перейти от традиционных методов управления проектами к методам, основанным на ИИ.

Artificial intelligence (AI) technologies such as machine learning, predictive analytics, and natural language processing are increasingly being integrated into project workflows in organizations. However, while AI improves efficiency, automation, and decision making, many organizations struggle with technology infrastructure, workforce readiness, and regulatory compliance. The purpose of this study is to review and assess the critical success factors (CSFs) that influence the implementation of AI technology in project management. Based on the methodology of bibliometric analysis and expert assessment, advanced research on the topic, key development areas in the field were examined, and CSFs that contribute to the effective implementation of AI technology were identified. The findings indicate that successful integration of AI requires senior management support, strong leadership, organizational agility, workforce competence, and technology readiness. The results will be useful for project managers in organizations planning to implement AI to improve the efficiency of their workflows and projects. The application of the recommended list of 6 CFUs in the project management system will allow organizations to most adaptively and smoothly transition from traditional project management methods to AI-based methods.

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The authors declare that there are no conflicts of interest present.