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Artificial intelligence is a promising technology for companies to leverage optimization potential and remain competitive. Nevertheless, studies show that only a few companies use this technology. Maturity models can contribute to self-assessment and help to implement this technology. In this paper, capability, readiness and maturity models are presented based on a literature review and a qualitative analysis. Overall, the results show that the models can serve as a tool to assess and improve AI readiness and maturity. However, in order to fully exploit their potential from a user perspective, it is essential to further develop these models specifically for AI domains, ensure transparency in their design, draw clear conceptual boundaries and incorporate user-friendly assessment mechanisms. Furthermore, recommendations for action are made on the basis of this information.
Reichl et al. (Sun,) studied this question.
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