What happened
Released June 8, 2026 by the Carnegie Mellon University Software Engineering Institute (SEI) in collaboration with Accenture, the AI Adoption Maturity Model v1.0 is the first empirically validated enterprise AI maturity model grounded in engineering-discipline methodology. The framework organises AI readiness across eight core dimensions — organisational strategy, workforce and culture, workflow re-engineering, risk and governance, data, engineering, operations, and ecosystem — with each dimension providing a structured assessment baseline and roadmap. Development involved systematic review of more than 100 existing AI maturity efforts, 25 executive interviews, a survey of approximately 600 practitioners, and intensive pilots with Fortune 500 companies. The report's headline finding: 'Only 8 percent of companies are scaling AI at an enterprise level and embedding the technology into their core business strategy to maximise value.' An accompanying assessment tool enables structured benchmarking. The model is available as a free download from the SEI Digital Library.
Why it matters
Most enterprise AI maturity assessments lack engineering rigour and real-world validation — this model fills that gap with four decades of CMU SEI maturity-modelling experience. The 8% statistic on effective enterprise-scale AI adoption gives boards a useful benchmark for assessing their own progress.
Action needed
Download the model from the SEI Digital Library and run the eight-dimension assessment against your current AI programme; use the output to structure a board-level conversation on where your organisation ranks relative to the 8% achieving enterprise-scale adoption.