AI-Supported Contract Management and Claims Prevention in Oil and Gas Capital Projects" A PMI-CPMAI Aligned Governance Framework"

Authors

  • Maryam Alyammahi Hamdan bin Mohamad Smart University
  • Khalid Aljasmi Hamdan bin Mohamad Smart University
  • Zayed Aldhanhani Hamdan bin Mohamad Smart University
  • Mounir El Khatib Hamdan bin Mohamad Smart University

DOI:

https://doi.org/10.54489/ijbas.v6i1.607

Keywords:

Artificial Intelligence (AI), Contract Management, Claims Prevention, EPC Projects, Oil and Gas Projects, PMI-CPMAI

Abstract

Oil and gas capital projects frequently experience claims, disputes, and contractual conflicts due to project complexity, multiple stakeholders, and reactive contract management practices. Artificial Intelligence (AI) offers new capabilities for contract risk identification, compliance monitoring, and early detection of potential claims through predictive analytics and natural language processing. However, the effectiveness of AI depends on the presence of appropriate governance mechanisms that ensure accountability, transparency, and reliable decision-making. This study examines the role of AI in improving contract management and claims prevention within Engineering, Procurement, and Construction (EPC) projects using the PMI-Cognitive Project Management for AI (CPMAI) framework. The study proposes a CPMAI-aligned governance framework that integrates AI-driven contract intelligence with structured oversight and risk management processes. The findings are expected to demonstrate that AI, when supported by effective governance, can enhance contractual compliance, reduce claims, and improve project performance in oil and gas capital projects.

 

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Published

2026-06-23

How to Cite

AI-Supported Contract Management and Claims Prevention in Oil and Gas Capital Projects" A PMI-CPMAI Aligned Governance Framework". (2026). International Journal of Business Analytics and Security (IJBAS), 6(1), 177-190. https://doi.org/10.54489/ijbas.v6i1.607

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