The AI Adoption Maturity Model v1.0

Organizations achieve lasting AI value and return on investment (ROI) through discipline—not just speed. True AI maturity is not measured by how much AI an organization deploys, but by its ability to build trustworthy and resilient capabilities, rigorous engineering practices, and governance approaches aligned with business outcomes and evolving technological realities. Without maturity, AI adoption risks becoming experimentation at enterprise scale.

As a federally funded research and development center (FFRDC), the Carnegie Mellon® University (CMU) Software Engineering Institute (SEI), in collaboration with Accenture, developed the AI Adoption Maturity Model through continuous refinement, real-world application, and community engagement, to help organizations drive sustainable AI transformation and advance the state of the practice.

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