Volume 1 - Issue 4, November - December 2025

Artificial Intelligence (AI) has become a transformative force in complex project environments, significantly expanding human capability and improving decision-making accuracy. This paper investigates how AI enhances human performance through intelligent automation, predictive analytics, cognitive augmentation, and adaptive support systems. It also analyzes challenges faced during AI–human integration, including data limitations, trust issues, ethical concerns, and system interpretability. A mixed-method methodology—combining literature review, system evaluation, and user feedback—was used to understand the outcomes and effectiveness of human-AI collaboration. Results indicate that AI integration enhances productivity, reduces human error, and enables faster execution of complex tasks. The findings highlight the importance of balanced automation where human oversight, contextual judgment, and AI efficiency operate together.