AI Maturity Models — Assessing Your Organization's Readiness and Investment Path

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Authors: Oleh Ivchenko
Cited by: 0

Abstract

Organizations consistently overestimate their AI readiness while underestimating the investment required to bridge maturity gaps. This article presents a practical maturity assessment framework that predicts deployment costs with 82% accuracy, examining five distinct maturity levels and quantifying typical investments for each transition.

Fields of Study & Subjects

Artificial Intelligence Applications Information Technology Governance and Strategy Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026
Language
EN