Leveraging Digital Colleagues for Enterprise Value
Name
2026_0401_DigitalColleagues_WeillWoerner.pdf
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259.83 KB
Format
Adobe PDF
Checksum (MD5)
b7a28fda5a9011d3c96d0d5ba6754724
Author(s)
Weill, Peter
Woerner, Stephanie L.
Date Issued
April 16, 2026
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Weill, Peter and Stephanie L. Woerner. “Leveraging Digital Colleagues for Enterprise Value.” MIT CISR Research Briefing Volume XXVI, no. 4 (April 2026). https://dspace.mit.edu/handle/1721.1/174879.
Series/Report no.
MIT CISR Research Briefing, Vol. XXVI, No. 4
Abstract
Digital colleagues AI-enabled systems that collaborate with humans to perform complex work are rapidly transitioning from experimentation to an embedded enterprise capability. Unlike traditional automation or reactive AI assistants, digital colleagues integrate generative AI, agentic systems, machine learning, use of enterprise data, and embedded governance mechanisms to function as members of human teams. They may perform tasks autonomously, engage in dialogue, learn over time, operate continuously, and escalate consequential decisions to humans. This briefing describes digital colleagues, where value from their use is emerging, and the organizational choices that distinguish higher-performing enterprises.
Subjects
Information Technologies
Data, AI, and Analyticsn
Organizational Structure and Agility
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
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