Exploring the Effectiveness of AI in Project Risk and Overall Return Management; How Project Managers Can Facilitate the Changes

Abstract

The study has investigated the process of operational returns by understanding the stakeholders’ role and the collaborative efforts of the project managers to explore AI-driven solutions in an actionable form. The study aims to review the effectiveness of AI in project risk and overall return management. The study's purpose is to analyse how project managers can facilitate the changes. PLS Smart software has been used with a set of 100 samples. The data has been investigated in the positivism support. It has been found that all 11 hypotheses are proved as positive because the data narrates practical implementation in the outline of justification. The study concludes by recommending the project managers about the application of AI implementation in the handling of projects and make sure that data has been facilitated in the paradigm of working efficiency to increase the overall returns.