Key points:
- Every technology decision shapes the digital experience students navigate at their institution
- Building AI that teaches: Scaling learning systems
- Purpose, ethics, visibility, assurance, and compliance in the age of AI
- For more news on the digital experience and AI, visit eCN’s AI in Education hub
Artificial intelligence is now emerging as a strategic priority across higher education, but many institutions are still determining how to move from experimentation to institution-wide adoption.
According to the 2025 EDUCAUSE AI Landscape Study, 57 percent of institutions now view AI as a strategic priority, yet only 22 percent have implemented an institution-wide AI strategy. This gap reveals a broader challenge facing colleges and universities as they modernize technology and rethink the student experience.
The resolution depends on decisions that often predate AI by many years. Higher education invested heavily in technology to improve the student experience. Institutions modernized student information systems, adopted CRM platforms, expanded learning technologies and introduced specialized applications to support advising, financial aid, student success and campus life. While every investment’s mission was to address a real institutional need, the reality is complicated: Students move between disconnected systems, receive endless communications from multiple sources and search across numerous applications to complete tasks that should feel seamless.
Creating a true digital campus experience requires institutional leaders to think about how every technology decision contributes to the overall online journey. Without this perspective, institutions risk falling into the tech debt trap. Technology environments become increasingly complex as new applications, integrations and processes accumulate over time. Individual projects succeed, yet the technology landscape grows more difficult to manage with each new investment. Staff devote more time to maintaining systems, while students continue navigating experiences reflecting institutional structures instead of student expectations.
AI depends on connected information, trusted data and clearly defined ownership. These elements equip institutions to deliver more personalized experiences and reduce administrative burden. In their absence, AI often magnifies existing complexity rather than improving it.
In this environment, governance is critical to helping institutions make technology decisions that support both immediate priorities and long-term strategy.
Start with the student experience
While technology decisions often begin with a departmental need, governance encourages institutional leaders to begin somewhere else by asking how a new investment will improve the overall student experience. Rather than evaluating a solution solely on the problem it solves today, leaders also need to consider how it contributes to a more connected digital environment tomorrow.
Seton Hill University took a cross-functional approach when launching MySHU, its campus experience platform. IT partnered with student life, marketing and other campus teams to shape the user experience while gathering feedback from stakeholders across the institution. The collaborative process transformed the initiative from a student portal into a campus-wide platform, encouraging departments beyond IT to rethink how technology could better engage students and empowering student life to help maximize the platform’s impact.
Evaluate technology as part of a long-term strategy
Every technology investment should stand on its own merits, but it should also strengthen the institution’s broader technology environment. Governance creates space for leaders to ask questions that often receive less attention during procurement. Will this solution complement existing capabilities? Will it create another destination students must learn to navigate? How will it support future AI initiatives? Who will own and maintain it over time?
When the Arkansas State University System began creating a shared digital front door across its campuses, leaders recognized that technology decisions in one location could affect the experience across the entire system. Governance became the framework for balancing institution-wide consistency with the flexibility each campus needed to serve its students. This approach allows campuses to adopt new capabilities while strengthening the broader technology strategy instead of creating additional complexity.
Review governance as technology evolves
As institutional priorities, student expectations and AI capabilities continue changing, technology strategies also need to evolve. Governance works best when leaders revisit technology portfolios, evaluate adoption, clarify ownership, and retire tools no longer delivering meaningful value. Those conversations help institutions reduce complexity before it becomes technical debt and ensure new investments continue advancing the digital experience.
The University of Central Florida expanded digital services across departments over time instead of treating implementation as the end of the journey. The ongoing review process helped the university build on existing investments while introducing new capabilities in a deliberate, coordinated way.
Higher education will continue investing in AI, and the technology will undoubtedly evolve faster than anyone expects. Institutions don’t need to chase every new innovation to remain competitive. They need a disciplined approach to technology decisions keeping the student experience at the center, strengthening the digital front door and reducing the complexity that quietly accumulates over years of well-intentioned investments.
Every technology decision shapes the digital experience students navigate at their institution. Governance helps ensure those decisions continue serving students long after the excitement surrounding the latest technology fades.
