Accenture (NYSE: ACN) and the Carnegie Mellon University Software Engineering Institute launched the AI Adoption Maturity Model, a framework designed to help organizations scale artificial intelligence with measurable outcomes.

The model provides a structured approach for commercial enterprises and government organizations to assess their AI capabilities, identify gaps and build roadmaps for AI adoption. It 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.

According to Accenture research cited in the announcement, 86% of C-suite leaders plan to increase AI spending in 2026. However, only 21% of organizations are redesigning end-to-end processes with AI at the core, and nearly half of executives report AI has delivered little impact on profit.

To develop the framework, the organizations reviewed more than 100 existing AI maturity efforts, conducted approximately 25 executive interviews, surveyed nearly 600 practitioners and completed pilots with Fortune 500 organizations.

"Many AI maturity models in the market now focus on high-level strategy without considering the engineering rigor that organizations actually need to scale," said Manish Sharma, Chief Strategy and Services Officer at Accenture.

The model includes an assessment tool that enables structured implementation and benchmarking across industries. Organizations can use assessments to establish baseline readiness for incorporating AI into workflows and technology ecosystems.

Accenture reported generating approximately $70 billion in revenue in fiscal year 2025 and serving approximately 9,000 clients with its 786,000 employees. The company states it has delivered more than 11,000 advanced AI projects worldwide.