Editor’s note: This article is adapted from a conversation with Laura Trombley on the Illumination Podcast. To hear the full discussion, listen to the episode here.
Higher education has spent the last decade investing in technology to improve the student experience. From CRM platforms and predictive analytics to AI-powered engagement, institutions have more tools than ever to identify student needs, personalize outreach and streamline services.
Yet technology alone cannot create the one thing students increasingly expect from their institution: trust.
Today's learners are navigating more pathways than ever before. Some are pursuing traditional degrees, others are earning certificates, balancing work and family responsibilities or exploring careers they may not have considered just a few years ago. As student expectations evolve, institutions must move beyond transactional interactions—course registration, financial aid reminders and advising appointments—and instead build relationships that make students feel known, supported and confident in their decisions.
The institutions that succeed won't necessarily be those with the most sophisticated technology. They'll be the ones that use technology to create more opportunities for meaningful human connection.
Personalization Starts with People
Personalized engagement is often discussed as a technology challenge. In reality, it's a cultural one.
Students don't remember being included in an automated workflow. They remember the advisor who called unexpectedly to check in, the staff member who remembered their goals or the career conversation that helped them realize there was another path forward.
These seemingly small interactions build trust. They communicate that a student is more than an enrollment number or retention statistic—they're an individual with unique aspirations, challenges and potential.
Creating that experience doesn't require institutions to abandon structure or data. It requires designing systems that give advisors the time and flexibility to build authentic relationships instead of simply managing transactions.
AI Should Enhance Relationships, Not Replace Them
As AI becomes embedded across higher education, many institutions are asking the same question: How do we automate without losing the human touch?
The answer isn't choosing between technology and people. It's understanding what each does best.
Data can identify patterns, predict risk and help institutions prioritize outreach. AI can reduce administrative burden, surface insights and make support more proactive.
But neither can replace empathy.
Behind every dashboard is a student with a story that no algorithm can fully capture. Technology may identify who needs support; trusted advisors determine how that support should be delivered. When institutions allow AI to handle repetitive tasks, advisors gain more capacity to focus on conversations that build confidence, belonging and persistence.
Rather than viewing AI as a replacement for advising, institutions should see it as a way to make advising more human.
Career Readiness Shouldn't Begin at Graduation
Students increasingly measure the value of higher education by the opportunities it creates after completion. That means career readiness can no longer be confined to the final semester.
Career exploration should begin before students even arrive on campus and continue throughout their academic journey. Advising conversations should naturally include discussions about interests, skills, work-based learning and evolving career goals—not simply course selection.
This approach also creates space for exploration. Students change majors, discover new interests and rethink career plans. Rather than viewing these moments as setbacks, institutions can use them as opportunities to help learners make informed decisions before they invest years pursuing the wrong path.
Embedding career development throughout the student lifecycle creates graduates who leave with both credentials and meaningful experience—an increasingly important distinction in today's workforce.
Measure More Than Outcomes
Retention and graduation rates remain critical institutional metrics, but they tell only part of the story.
Institutions should also examine the quality of student engagement. Are students responding to outreach? Are they meeting with advisors more than once? What communication methods encourage meaningful interaction? Most importantly, what do students themselves say made the difference?
Sometimes the strongest evidence of success isn't found in a dashboard but in a student's explanation of why they stayed.
Quantitative data reveals trends. Qualitative feedback reveals why those trends exist. Together, they provide a more complete understanding of institutional impact and where improvements should be made.
The Future of Student Success Is Built on Trust
Technology will continue to evolve. Student expectations will continue to shift. Workforce demands will continue to change.
What shouldn't change is higher education's commitment to helping students feel seen, heard and supported.
Institutions that intentionally combine data, AI and personalized engagement won't simply improve operational efficiency. They'll create environments where students trust the people guiding them, remain engaged throughout their educational journey and leave prepared for whatever comes next.
In an era increasingly defined by automation, trust may prove to be higher education's greatest competitive advantage.
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