Evaluation of Organizational AI Maturity: A Systematic Literature Review and Extraction of AI Maturity Frameworks

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Azari Fatemeh; Abdollahi Ali

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Journal Paper

Paper Information

Journal: JOURNAL OF INTELLIGENT STRATEGIC MANAGEMENT Year:2025 | Volume:4 | Issue:1 Page(s): 145-170

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Information Journal Paper

Title

Evaluation of Organizational AI Maturity: A Systematic Literature Review and Extraction of AI Maturity Frameworks

Author(s)

Azari Fatemeh | Abdollahi Ali | Issue Writer Certificate

Keywords

Artificial intelligence

Maturity model

AI Maturity

AI Maturity Assessment

Abstract

To effectively leverage artificial intelligence (AI), organizations need a comprehensive understanding of their AI maturity level. Assessing AI maturity can serve as the first step in developing a digital transformation roadmap and AI strategies. This study aims to present a comprehensive framework for evaluating organizational AI maturity. The research methodology employed is a systematic literature review. Through this process, after screening and assessing the quality of scientific articles and consulting reports, 31 selected documents were analyzed. The findings indicate that key dimensions of AI maturity include strategy and leadership, organization and culture, data, technology and infrastructure, operations, decision-making, ethics and regulations, security, and privacy. Additionally, it was found that existing maturity models primarily focus on technical and managerial aspects, with less attention given to social, legal, and ethical dimensions. By conducting a comparative analysis of various AI maturity models, this study proposes a comprehensive framework for assessing organizational readiness in adopting and developing AI, which can serve as a guideline for policymakers and organizational managers.

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