JMU Uses AI to Synthesize Campus Strategic Feedback
The university's planning team used a generative chatbot to condense months of input, a research-to-practice case showing how institutions may apply AI to document-heavy work.
Updated on Nov. 5, 2026 in Artificial Intelligence

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James Madison University used Microsoft Copilot, a generative AI chatbot, to help develop the Five Pillars of its Strategic Plan, which was proposed by President Jim Schmidt in August 2025 and was due for completion in April 2026. The plan, now finalized as The Madison Promise, is a capability deployed in an institutional planning process rather than a new product.
Why it matters
The university used the tool to consolidate more than 200 pages of online feedback from faculty, students, and staff, a synthesis task that may otherwise have taken longer to complete. The team was working on a tight timeline and sought efficiency, and the resulting pillars now guide both the Strategic Plan and the Master Plan.
The evidence is a planning-process account from JMU, which reports eight months of work and more than 200 pages of online feedback processed with Microsoft Copilot. The source does not quantify time saved or accuracy relative to manual synthesis, and it does not say how many AI prompts were required beyond describing multiple rounds of consolidation.
The players
James Madison University
A public university in Harrisonburg, Virginia, whose planning process here used a commercial generative AI tool to synthesize campus-wide feedback.
Microsoft Copilot
Microsoft's generative AI chatbot, used here to consolidate feedback into the themes of the Five Pillars.
Jim Schmidt
President of James Madison University, who proposed the Strategic Plan in August 2025.
Chris Orem
The JMU leader who directed the team that asked Copilot to consolidate the feedback.
The details
Chris Orem and his team asked Copilot a series of prompts to consolidate the campus feedback into themes. Generative AI is software that produces new text in response to a written request, and the team reviewed the AI-generated responses tied to specific feedback until they were confident in the results. Senior leadership input and other perspectives were then brought in, so the AI served as a starting point rather than the final authority.
Timeline
August 2025: President Jim Schmidt proposed the Strategic Plan.
April 2026: The Strategic Plan was due to be completed.
2040: The horizon year for the Master Plan's benefits and expansion targets.
The Tech Race
Universities are testing generative AI tools such as Microsoft Copilot for document-heavy administrative work, and JMU's use of it for synthesizing a strategic plan adds a concrete campus example to that trend. The source does not identify any competing institutional program or prior JMU milestone for comparison.
For students, faculty, and staff at JMU, the Five Pillars now shape the Strategic Plan and Master Plan that set university direction. The source does not say whether AI-assisted drafting will be used in future planning cycles, and JMU has no university-wide AI policy, with faculty expected to state their own AI policy in their syllabi.
The takeaway
JMU's planning process shows a university using generative AI as a first-pass synthesis tool while keeping senior leadership in charge of the final decisions. Readers should watch whether JMU adopts a university-wide AI policy, since the source notes that none currently exists and that faculty set their own rules in syllabi.
Further reading
For broader context on how institutions are adopting these systems, explore more coverage in Artificial Intelligence reporting from Harrisonburg.
Source note: This article includes information reported by The Breeze.
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