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Managing Stakeholder Expectations in IT Projects with AI and Cybersecurity
Subject area: Science,Engineering and Technology · Area of research: IT Projects with AI and Cybersecurity
Abstract
Management of stakeholder expectations in IT projects is a complex activity, requiring strategic alignment, transparency, and proactive risk management. The intersection of Artificial Intelligence (AI) and cybersecurity has transformed this landscape, enabling more precise expectation management, risk profiling, and real-time decision-making. AI-driven analytics enable project managers to anticipate stakeholder concerns by analyzing historical data, sentiment analysis, and predictive modeling. Automated reporting mechanisms enhance communication by ensuring stakeholders are informed in a timely fashion with actionable insights. Cybersecurity is essential to building trust and compliance through the protection of sensitive project information, breach prevention, and regulatory compliance. AI-powered threat detection and response systems actively deal with security threats, reducing disruptions that may affect stakeholder trust. AI-driven chatbots and virtual assistants enhance engagement by providing round-the-clock support and responding to queries in real time. While AI-based stakeholder management has its benefits, it also comes with challenges, including ethical issues, data privacy, and the requirement for human intervention to be fair and transparent. Implementation can only be successful if it is balanced, blending AI functionality with conventional project management best practices to uphold credibility and stakeholder satisfaction. This article explains the intersection of AI, cybersecurity, and stakeholder expectation management in IT projects, highlighting best practices, risks involved, and how harmony can be established. By leveraging AI-powered insights and mature cybersecurity models, organizations can enhance stakeholder trust, deliver improved project outcomes, and drive innovation in an increasingly digitized world.
References
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How to cite this paper
@article{1707593,
author = {Mahabub Hasan},
title = {Managing Stakeholder Expectations in IT Projects with AI and Cybersecurity},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {9},
pages = {1152-1156},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707593.pdf},
abstract = {Management of stakeholder expectations in IT projects is a complex activity, requiring strategic alignment, transparency, and proactive risk management. The intersection of Artificial Intelligence (AI) and cybersecurity has transformed this landscape, enabling more precise expectation management, risk profiling, and real-time decision-making. AI-driven analytics enable project managers to anticipate stakeholder concerns by analyzing historical data, sentiment analysis, and predictive modeling. Automated reporting mechanisms enhance communication by ensuring stakeholders are informed in a timely fashion with actionable insights. Cybersecurity is essential to building trust and compliance through the protection of sensitive project information, breach prevention, and regulatory compliance. AI-powered threat detection and response systems actively deal with security threats, reducing disruptions that may affect stakeholder trust. AI-driven chatbots and virtual assistants enhance engagement by providing round-the-clock support and responding to queries in real time. While AI-based stakeholder management has its benefits, it also comes with challenges, including ethical issues, data privacy, and the requirement for human intervention to be fair and transparent. Implementation can only be successful if it is balanced, blending AI functionality with conventional project management best practices to uphold credibility and stakeholder satisfaction. This article explains the intersection of AI, cybersecurity, and stakeholder expectation management in IT projects, highlighting best practices, risks involved, and how harmony can be established. By leveraging AI-powered insights and mature cybersecurity models, organizations can enhance stakeholder trust, deliver improved project outcomes, and drive innovation in an increasingly digitized world.},
month = {March},
}