4 Ways IT Can Prepare Institutions to Scale AI Adoption -- Campus Technology

4 Ways IT Can Prepare Institutions to Scale AI Adoption

Fragmented data, privacy and governance concerns, and unpredictable AI consumption costs stall AI adoption and limit its positive potential. Complex legacy environments absorb staff time, while growing demands on compute, storage, and connectivity compete with existing services.

This whitepaper sets out four priorities for IT teams preparing to scale AI: measure software demand before provisioning, reduce the cost of core operations, establish boundaries for AI access and use, and support the people affected by change. Explore how usage evidence and simpler software delivery can release budget and staff capacity, alongside considerations for approved tools, usage limits, student learning, staff retraining, and accountability.

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