The issue is no longer whether institutions have enough data. The real question is whether their systems, and the people running and engaging with those systems, are capable of turning that data into meaningful action.
A data ecosystem working against itself
Across higher education, student information lives in many places with each tool telling part of the story, but the full picture is missing, along with the insights needed to better support students. The data is there – spread across an average of 200 software systems.
Forward-thinking leaders recognize that without a shared, real-time understanding of what is happening with a student, teams are forced to be reactive. Support arrives late, outreach misses the moment, and even strong programs and initiatives struggle to scale because capacity and resources are consumed by work that does not move the needle.
This pressure is driving institutional leaders to think more intentionally about how they harness the data already scattered across a disconnected technology stack. The usual response is investing in solutions –now more than ever, embedded with the AI promise– that guarantee deeper insight.
The reality is that student success is not one-size-fits-all and too often, these tools rely on generic models trained on fragmented data or aggregated benchmarks, producing predictions that aren’t grounded in the institution’s reality, creating more noise than clarity to move forward.
Technology should reduce uncertainty and increase visibility, but when AI models ignore this unique institutional context, they risk oversimplifying a reality that is rich with insight. And when AI recommendations also live in disconnected dashboards or require teams to step away from their daily workflows to assess and act, those insights rarely translate into meaningful action.
What AI made for higher education looks like
As CEO of Civitas Learning, I see these patterns across hundreds of partner institutions. What colleges and universities need is not more data or more tools, but systems designed to bring intelligence and action together.
We built Civitas Learning’s Student Impact Platform with this challenge in mind. Our solution ecosystem sits on top of an institution’s existing data landscape, unifying information from systems like the SIS, LMS, and CRM to create a holistic, real-time view of the student experience.
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Institutional leaders are at a tipping point where they can move beyond fragmented data and disconnected tools toward smart systems that truly turn insight into action.
Many institutions already have access to solutions that promise to unify fragmented data sources. Too often, vendors operate like a hardware store: they provide the supplies and tools while institutions are left to assemble and maintain this data foundation themselves or rely on third parties. Civitas Learning takes a different approach. We fully design, build, and support the student success system for our partners, so leaders and front-line teams can focus on driving outcomes rather than constructing and maintaining infrastructure.
The true value of AI in higher education, however, emerges beyond the data infrastructure, with clear insight that shows up exactly where and when it is needed, helping teams focus their limited time and capacity where it can have the greatest impact.
Within the Student Impact Platform, intelligence is embedded directly into everyday workflows. Advisors and other student-facing staff receive next-best-action recommendations as they manage their caseload, and they save valuable time with AI-assisted prep and session summaries. Leaders can see where initiatives are driving impact, where curricular adjustments may be needed, and even interact with their data through natural language queries without requiring deep technical expertise. Our AI automates tedious and repetitive tasks, surfaces relevant factors, and highlights meaningful patterns, but decisions and next steps will always remain in the hands of advisors and staff who know their students best.
What comes next: redefining student success
Once a strong data infrastructure is in place and teams are empowered to act, another limitation of many student success tools becomes clear: a narrow definition of success that doesn’t convey the entire student experience.
Civitas Learning addresses this challenge by taking a multi-outcome approach to student success. Persistence, completion, engagement, thriving, career readiness, and even institution-specific outcomes, designed in collaboration with our partners, all matter at different stages of the student journey.
By expanding how we define student success, insights become truly actionable and impact becomes visible across the institution. With retention, for example, even a one percent improvement, driven by earlier and more targeted intervention across the student lifecycle, can make a difference. Over time, fewer students lost reduces reliance on increasingly expensive recruitment efforts, protects tuition revenue, and creates more opportunity to reinvest in student success.
At its core, improving student success is about designing systems that bring people together and equip them to support students today and in the future. Technology is not meant to replace that human connection or become the system itself. Its role is to scale what works, reduce friction, and create space for the meaningful, student-centered support that truly makes a difference.
That is how institutions, and leaders, move from a reactive approach where teams race to understand what happened, to a proactive, data-informed culture where you get to shape what happens next.
