MIT Center for Information Systems Research - CISR

With the rapid adoption of AI technologies — including machine learning and generative, agentic, and robotic AI — the MIT Center for Information Systems Research - CISR created a business model framework for the AI era that shows businesses evolving to become increasingly outcome oriented and enabled by autonomous AI.

Learn more: https://bit.ly/4qQ0Ij5

New MIT CISR research identified four stages of enterprise AI maturity, and found that financial performance improves with each stage. Most enterprises in the research were in the first two stages of AI maturity and had financial performance below industry average, while enterprises in stages three and four had financial performance well above industry average.

MIT CISR researchers Peter Weill, Stephanie Woerner, and Ina Sebastian detail these findings in CISR's December 2024 research briefing, titled “Building Enterprise AI Maturity,” and explain how enterprises need to cumulatively build capabilities and learnings from AI as they move toward a future-ready state of AI use. The briefing also describes what enterprises focus on in each of the four stages, and pinpoints capabilities an enterprise needs as it progresses through the stages.

Building Enterprise AI Maturity With so much excitement and hype around AI, we pursued research that would help leaders make sense of the chaos and understand how enterprises create value with AI. This briefing describes the MIT CISR Enterprise AI Maturity model, which depicts four stages of enterprise AI maturity we identified ba...