Artificial Intelligence Maturity Model (AIMM)

Abstract: Maturity models have long served as effective frameworks for guiding organizations toward progressively advanced practices, offering structured pathways for capability development and benchmarking. Models such as the Capability Maturity Model Integration (CMMI), Organizational Project Management Maturity Model (OPM3), Portfolio, Program and Project Management Maturity Model (P2CMM), and the Data Management Maturity Model (DMM) have each demonstrated the value of systematic assessment in driving adoption, standardization, and continuous improvement across diverse fields. Despite the rapid rise of artificial intelligence (AI) adoption, no broadly accepted maturity model exists to help organizations evaluate and advance their AI capabilities. This paper introduces the Artificial Intelligence Maturity Model (AIMM), a structured framework designed to assess individual and organizational sophistication in AI agent utilization. The proposed model defines distinct maturity levels, enabling organizations to identify their current state, benchmark progress, and establish a roadmap for advancement. By providing a standardized approach to AI capability assessment, AIMM can accelerate more effective use of AI technologies across industries.

Keywords: AI, Agent, Maturity Model, LLM

DOI: 10.54941/ahfe1007059

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