Development of an Implementation Guide for Intelligent Assistance in ProjectManagement Processes according to PMI Guidelines using AI-Powered TechnologicalTools

Authors

  • Jhonathan Steven Diaz Vargas Estudiante de Maestría de Desarrollo y Gerencia Integral de Proyectos Author
  • Ana Milena Gonzalez Doncel Estudiante de Maestría de Desarrollo y Gerencia Integral de Proyectos Author
  • Jose Luis Portela Centeno Estudiante de Maestría de Desarrollo y Gerencia Integral de Proyectos Author

DOI:

https://doi.org/10.46659/26191830.v1.n1.2025.244

Keywords:

Efficiency, Generative Artificial Intelligence, Intelligent Assistance, Project Management, PMI

Abstract

Project management has evolved beyond the traditional focus on scope, time, and cost, incorporating factors such as stakeholder satisfaction and value creation. However, many initiatives still face challenges in achieving efficiency and effectiveness. In this context, Artificial Intelligence (AI) emerges as a key tool to optimize processes and enhance decision-making. This research develops an Implementation Guide for Intelligent Assistance in Project Management Processes, aligned with PMI guidelines and focused on Generative AI tools. The study concentrates on planning processes, assessing available technological tools in the market and their applicability across different process areas. Levels of human intervention are defined, and optimized prompts are designed to facilitate interaction with AI. Furthermore, a step-by-step implementation approach is proposed, supported by flowcharts that illustrate the integration of these tools into project management. The results provide a practical resource that enables project managers to establish AI-supported information flows to improve planning, reduce uncertainty, and optimize decision-making, thereby increasing project success rates.

Downloads

Download data is not yet available.

References

Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: the simple economics of artificial intelligence. Harvard Business Review Press.

Bandi, A., Adapa, P. V. S. R., & Kuchi, Y. E. V. P. K. (2023). The power of generative AI: a review of requirements, models, input–output formats, evaluation metrics, and challenges. Future Internet, 15(8), p. 260. https://doi.org/10.3390/fi15080260

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., & Amodei, D. (2021). Language models are few-shot learners. Advances in Neural Information Processing Systems, 34, pp. 1877-1901.

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.

Davenport, T. H., & Harris, J. G. (2019). Competing on analytics: the new science of winning. Harvard Business Review Press.

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), pp. 108-116.

European Parliament. (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (General Data Protection Regulation - GDPR). https://eur- lex.europa.eu/eli/reg/2016/679/oj

Gartner. (2022). Magic quadrant for enterprise conversational AI platforms. https://www.gartner.com/en/documents/4000118

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative adversarial networks. Advances in Neural Information Processing Systems, 27, pp. 2672-2680.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), pp. 436-444. https://doi.org/10.1038/nature14539

Maphosa, V., & Maphosa, M. (2022). Artificial intelligence in project management research: a bibliometric analysis. Journal of Theoretical and Applied Information Technology, 100(16), pp. 3525-3543.

OpenAI. (2023). GPT-4 technical report. https://openai.com/research/gpt-4

Project Management Institute (PMI). (2022). Process groups: a practice guide. Project Management Institute.

Project Management Institute (PMI). (2023). Shaping the future of project management with AI. https://www.pmi.org/learning/thought-leadership/future-of-project-management-with-ai

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

Published

2025-12-20

Issue

Section

Papers

How to Cite

Development of an Implementation Guide for Intelligent Assistance in ProjectManagement Processes according to PMI Guidelines using AI-Powered TechnologicalTools. (2025). Revista Investigación En Desarrollo Y Gerencia Integral De Proyectos. ISSN En línea 2619-1830 , 8(1). https://doi.org/10.46659/26191830.v1.n1.2025.244