Ai-Driven Workforce Transformation Model

Abstract A leading oil and gas company in Sultanate of Oman is pioneering HR digitization with an AI-driven Workforce Transformation tool. This solution addresses the challenge of redeploying redundant Sultanate of Omani personnel within the company's contracting community. By upskilling and redeploying this workforce, the tool aligns with Sultanate of Oman's Vision 2040, which emphasizes future-ready skills. In 2023, the tool transitioned over five hundred Sultanate of Omani personnel, showcasing its impact in the current economic climate. The tool analyzes expiring contracts, identifies at-risk Sultanate of Omani personnel, and detects skills gaps within this workforce. This enables strategic redeployment across the contracting community. It creates tailored upskilling, reskilling, or multi-skilling programs based on comprehensive needs assessments, collaborating with industry experts for relevance. The tool employs a diverse delivery model, including competency matching, experience level requirements, gap assessments, and various training methods such as classroom instruction, direct training, mentoring, and coaching. It also provides post-training support with job placement assistance and follow-up assessments. This process is continuously monitored and evaluated for data-driven improvements, ensuring a cost-optimized model with zero direct costs to the company. The AI-driven Workforce Transformation tool demonstrates its value in retaining skilled Sultanate of Omani personnel within the company's contracting community. By analyzing expiring contracts and identifying skills gaps, the AI tool matches redundant personnel with suitable redeployment opportunities, minimizing layoffs. Observations highlight the importance of targeted skills development programs for smooth workforce transitions. The tool's success lies in initiative-taking workforce management, data-driven skills matching, and economic stability. Its achievements underscore the potential of AI-driven solutions to foster a sustainable workforce while aligning with Sultanate of Oman's Vision 2040. This paper will discuss the AI tool's development and the process to manage the redeployment of redundant Sultanate of Omani workers in the contracting community, focusing on developing future skills. It will provide insights into the program's methods, procedures, and continuous improvements, including the sustainability of over five hundred employment opportunities. The paper will contribute to the existing literature by presenting a case study of a successful program that has enhanced human capacity and capability, making significant changes within the company's contracting community in a brief period.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.2118/222219-ms
Citations
2
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
1.35
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article

Ai-Driven Workforce Transformation Model

Abeer Al Yahmadi, Shabib Al Mahrouqi, Saoud Al Jabri, Nadir Al Hinai
2 citations
AI and HR Technologies
1.35
article

Ai-Driven Workforce Transformation Model

Abeer Al Yahmadi, Shabib Al Mahrouqi, Saoud Al Jabri, Nadir Al Hinai
article en
2 citations

Abstract

Abstract A leading oil and gas company in Sultanate of Oman is pioneering HR digitization with an AI-driven Workforce Transformation tool. This solution addresses the challenge of redeploying redundant Sultanate of Omani personnel within the company's contracting community. By upskilling and redeploying this workforce, the tool aligns with Sultanate of Oman's Vision 2040, which emphasizes future-ready skills. In 2023, the tool transitioned over five hundred Sultanate of Omani personnel, showcasing its impact in the current economic climate. The tool analyzes expiring contracts, identifies at-risk Sultanate of Omani personnel, and detects skills gaps within this workforce. This enables strategic redeployment across the contracting community. It creates tailored upskilling, reskilling, or multi-skilling programs based on comprehensive needs assessments, collaborating with industry experts for relevance. The tool employs a diverse delivery model, including competency matching, experience level requirements, gap assessments, and various training methods such as classroom instruction, direct training, mentoring, and coaching. It also provides post-training support with job placement assistance and follow-up assessments. This process is continuously monitored and evaluated for data-driven improvements, ensuring a cost-optimized model with zero direct costs to the company. The AI-driven Workforce Transformation tool demonstrates its value in retaining skilled Sultanate of Omani personnel within the company's contracting community. By analyzing expiring contracts and identifying skills gaps, the AI tool matches redundant personnel with suitable redeployment opportunities, minimizing layoffs. Observations highlight the importance of targeted skills development programs for smooth workforce transitions. The tool's success lies in initiative-taking workforce management, data-driven skills matching, and economic stability. Its achievements underscore the potential of AI-driven solutions to foster a sustainable workforce while aligning with Sultanate of Oman's Vision 2040. This paper will discuss the AI tool's development and the process to manage the redeployment of redundant Sultanate of Omani workers in the contracting community, focusing on developing future skills. It will provide insights into the program's methods, procedures, and continuous improvements, including the sustainability of over five hundred employment opportunities. The paper will contribute to the existing literature by presenting a case study of a successful program that has enhanced human capacity and capability, making significant changes within the company's contracting community in a brief period.

Muscat College (OM)
Openalex Percentile: Top 15%
AI and HR Technologies
1.35
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