Grow Enterprise AI Maturity for Bottom-Line Impact
Name
2025_0801_EnterpriseAIMaturityUpdate_WoernerSebastianWeillKaganer.pdf
Size
279.13 KB
Format
Adobe PDF
Checksum (MD5)
5fc4295bb6521be1874462a98687ed65
Author(s)
Woerner, Stephanie L.
Sebastian, Ina M.
Weill, Peter
Káganer, Evgeny
Date Issued
August 21, 2025
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Woerner, Stephanie L., Ina M. Sebastian, Peter Weill, and Evgeny Káganer. “Grow Enterprise AI Maturity for Bottom-Line Impact.” MIT CISR Research Briefing Volume XXV, no. 8 (August 2025). https://dspace.mit.edu/handle/1721.1/174848.
Series/Report no.
MIT CISR Research Briefing, Vol. XXV, No. 8
Abstract
Last year, MIT CISR introduced a four-stage enterprise AI maturity framework to help leaders identify how to create value from AI (artificial intelligence) technology. A new MIT CISR survey has found that enterprises today are making significant progress in their AI maturity, with the greatest financial impact seen in the progression from stage 2, where enterprises build pilots and capabilities, to stage 3, where enterprises develop scaled AI ways of working. In this briefing we describe how enterprises mature from piloting AI to scaling it, illustrated by case studies of the Guardian Life Insurance Company of America and Italgas Group.
Subjects
Assessing Performance and Value
Benchmarks
Information Technologies
Data, AI, and Analytics
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
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