Enterprise IT Operating Models in the AI Era
Name
2025_1201_EntITOperatingModels_ThorogoodWoerner.pdf
Size
407.92 KB
Format
Adobe PDF
Checksum (MD5)
8b8cf7e435eece2298c11f6197cf2994
Author(s)
Thorogood, Alan
Woerner, Stephanie L.
Date Issued
December 18, 2025
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Thorogood, Alan and Stephanie L. Woerner. “Enterprise IT Operating Models in the AI Era.” MIT CISR Research Briefing Volume XXV, no. 12 (December 2025). https://dspace.mit.edu/handle/1721.1/174972.
Series/Report no.
MIT CISR Research Briefing, Vol. XXV, No. 12
Abstract
Newer digital technologies such as artificial intelligence are blurring the lines between the IT function and business units, offering new approaches to the enterprise IT operating model. As part of these approaches, many top performers are increasing both speed and scale, relying on modularity and reuse architected by strong IT leadership. In this briefing, we examine the pressures on enterprise IT operating models and propose a framework to help enterprise leaders make strategic choices. We also examine the differences in platform use and innovation among the models.
Subjects
Business Models
Operating Models
Decision rights/governance
Organizational Structure and Agility
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
Persistent DSpace Link
