Accenture and the Carnegie Mellon University Software Engineering Institute launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI experimentation to scale artificial intelligence with measurable, repeatable outcomes. The model provides a structured approach for commercial enterprises and government organizations to assess their current AI capabilities, identify gaps and build a clear roadmap for responsible, value-driven AI adoption. The AI Adoption Maturity Model is a framework for assessing the ability of an organization to perform and sustain specific technical practices to achieve two key, high-level goals: organizational change and AI lifecycle engineering.
The model divides AI-relevant capability areas into eight core dimensions: organizational strategy, workforce and culture, workflow re-engineering, risk and governance, data, engineering, operations and ecosystem. An organization?s maturity is measured by how well key practices across these dimensions are implemented, governed and sustained?providing a clear baseline and a roadmap for improvement. The model is accompanied by an assessment tool that enables structured implementation and benchmarking of client outcomes across industries.
With an assessment against the model, organizations can establish their baseline readiness to incorporate AI into workflows and tech ecosystems?enabling organizations to identify use cases, institutionalize practices, focus on the value of investments and create a structured roadmap for adoption. With rigorous reassessments, organizations can check their AI maturity and realign the roadmap to changes in the AI landscape.
