Last year, higher education leaders were preparing for the possibility of Workforce Pell. Now, institutions have federal guidance, implementation timelines, and growing pressure to act.
The U.S. Department of Education’s (DOE) final Workforce Pell rule establishes a framework for short-term, Pell-eligible programs beginning July 1, 2026. For colleges and universities facing enrollment pressure, changing learner expectations, and increased scrutiny around career outcomes, this development represents a meaningful strategic opportunity.
It’s time for institutions to move from awareness to preparation.
The Workforce Pell Grant program expands Pell eligibility to certain short-term undergraduate workforce training programs. The goal is to create new pathways for students seeking faster, career-focused education opportunities.
Under the DOE’s newly released guidance, eligible programs must generally:
The rule also allows governors to establish agreements that enable approved workforce programs to be offered across state lines through distance education.
While institutions now have a clearer framework, many details will continue evolving over the next several years. State workforce priorities, approval standards, and accountability expectations may vary during the transition period leading up to the federal earnings metrics scheduled for 2030–31.
For institutions, Workforce Pell creates a new category of aid-eligible programming that connects workforce development more directly to academic strategy.
The institutions most likely to benefit from Workforce Pell are the ones that focus on aligning academic portfolios with workforce demand and student expectations.
The opportunity extends beyond launching additional certificate programs. Workforce Pell creates new ways to engage adult learners, working professionals, career changers, and stop-out students seeking shorter educational pathways tied directly to employment outcomes.
Many of these learners prioritize flexibility, affordability, and clear career value. Short-term workforce programs supported by Pell funding align closely with those priorities.
At the same time, institutions may uncover opportunities to expand or refine their portfolios through stackable credentials, workforce-focused certificates, and employer-aligned education pathways.
As opportunities expand, accountability expectations will also increase. Institutions will need to demonstrate that programs lead to meaningful workforce outcomes and sustainable earnings potential. That reality places greater emphasis on labor market alignment, employer engagement, and data-informed planning.
Although the final rule provides important direction, several operational questions remain unresolved.
Governors and state workforce boards will play a major role in defining workforce priorities and approval standards until federal earnings metrics take effect. Institutions operating across multiple states may encounter varying expectations regarding program eligibility and workforce demand.
Operational readiness will also become a major factor in institutional success. Launching Workforce Pell-eligible programs requires coordination across academic leadership, enrollment operations, marketing, financial aid, instructional design, and employer partnerships.
Many institutions already have promising workforce concepts in place. The larger challenge may involve building the infrastructure and processes needed to implement programs efficiently while maintaining compliance and quality standards.
Higher ed is hard — but you don’t have to figure it out alone. We can help you transform challenges into opportunities.
Schools don’t need to wait for every detail to be finalized before beginning strategic planning. Early preparation will help colleges and universities move more confidently as Workforce Pell implementation approaches.
Many institutions may already offer undergraduate programs that align with Workforce Pell requirements or could qualify with modest adjustments.
Key questions to evaluate include:
This process can help institutions identify existing opportunities within their current portfolio.
Workforce Pell eligibility will depend heavily on workforce demand and earnings potential. Institutions should evaluate regional employment trends, high-growth industries, wage projections, employer hiring demand, and skills shortages before making program expansion decisions.
Data-informed planning will become increasingly important as institutions compete to launch workforce-relevant offerings.
Collegis helps institutions identify high-demand, high-wage program opportunities through labor market analysis, publicly available workforce data, and Lightcast-powered insights. These resources help institutions align academic strategy with student demand and regional economic needs.
Learn more about this process in our article, “Leveraging Data to Guide Academic Portfolio Strategy”.
Institutions should also evaluate whether they have the operational infrastructure needed to support Workforce Pell implementation.
Areas to assess include:
Institutions that can move efficiently while maintaining strong student outcomes will be better positioned for long-term success.
Workforce Pell aligns with broader changes already shaping higher education. Students increasingly seek faster and more flexible pathways connected directly to career advancement. Policymakers continue focusing on measurable return on investment, while employers need workforce-ready talent equipped with in-demand skills.
Institutions that respond effectively will strengthen their ability to adapt to changing workforce needs and evolving student expectations.
Workforce Pell reinforces the shift toward workforce-connected, career-focused education. As institutions prepare for implementation, leaders will need to evaluate how their academic portfolios align with workforce demand, student expectations, and regional economic needs.
The colleges and universities that begin assessing program opportunities, market alignment, and operational readiness now will be in a stronger position when these regulations take effect in 2026.
If your institution is evaluating how Workforce Pell could shape future program strategy, Collegis is here to help. Through market research and portfolio development support, we help colleges and universities identify high-demand opportunities and make informed decisions about future growth.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
For years, higher ed digital teams have treated SEO, accessibility, and emerging technologies as separate workstreams.
SEO belonged to marketing. Accessibility lived with compliance or IT. AI was viewed as experimental — somewhere between innovation and disruption.
But the lines are blurring quickly, and that separation no longer reflects reality.
Today, the same signals that improve search visibility are increasingly shaping how AI systems interpret your institution’s content. And many of those same foundational practices also determine whether your digital experiences are accessible, usable, and trusted by prospective students.
That creates both opportunity and confusion for colleges and universities already navigating enrollment pressure, shrinking teams, and increasing expectations from students. The challenge is no longer deciding whether SEO, AI, or accessibility matter. It’s determining where to focus first when every initiative seems urgent.
The institutions making the most progress recognize that these priorities are deeply connected. At the center of all three is the same goal: creating structured, trustworthy, human-centered digital experiences that both people and machines can understand.
Traditional SEO focused heavily on rankings, keywords, and traffic acquisition.
But the rise of AI-generated search experiences is changing how prospective students discover information. Search engines are increasingly synthesizing answers directly within results pages. Generative AI tools summarize institutional content before users ever click a website. And recommendation systems are prioritizing clarity, structure, and authority over volume alone.
In other words, discoverability is evolving.
Institutions that relied on content volume or technical shortcuts are finding that those tactics do not necessarily translate into visibility in AI-driven environments. Instead, AI systems favor content that is:
Those are not just AI optimization principles. They are also hallmarks of strong SEO and accessible web design.
That overlap matters. Many institutional websites and content ecosystems are not prepared for how generative AI is reshaping the student journey.
Institutions have historically framed web accessibility as a compliance requirement. Institutions focused on meeting WCAG standards, remediating PDFs, or addressing legal exposure.
Those efforts remain important. But accessibility is becoming strategically central for another reason: Accessible web content is easier for machines to process.
Clear heading structures, descriptive links, semantic HTML, readable page hierarchies, transcript-supported multimedia, and properly labeled content do more than support users with disabilities. They also help search engines and AI systems understand your information more accurately.
That alignment is not accidental. AI systems rely on structure and context to interpret information accurately. Accessibility standards provide that foundation.
When institutions improve web accessibility, they often improve:
The result is a rare strategic convergence where improving the user experience simultaneously strengthens discoverability and future-proofs digital infrastructure.
Higher ed teams are under pressure to “do AI,” improve SEO performance, modernize websites, and advance accessibility initiatives all at once. That often leads to fragmented execution.
One team purchases AI content tools, another launches an accessibility audit, marketing revises metadata, and IT upgrades CMS infrastructure. But none of it connects strategically.
The institutions gaining traction are stepping back and asking a more important question: What digital capabilities improve outcomes across all three areas simultaneously?
That mindset changes prioritization entirely. Many of the highest-impact improvements are operational, not just technical. Institutions that establish clearer standards for how web content is created, managed, and maintained often see benefits across multiple digital priorities.
For example, creating better content governance may improve:
Likewise, improving structured content architecture may strengthen:
These are not isolated wins. Together, they create compounding advantages.
Higher ed is hard — but you don’t have to figure it out alone. We can help you transform challenges into opportunities.
Not every institution needs a massive AI transformation initiative immediately. But every institution should evaluate whether its digital ecosystem is understandable, trustworthy, and usable for both humans and machines.
That starts with these fundamentals:
Many institutions still operate under the assumption that publishing more pages equals better visibility. There used to be some truth to that. But increasingly, the opposite may be true.
AI systems reward clarity, authority, and usefulness. Thin or duplicative content can dilute institutional credibility and create confusion for search engines and prospective students alike.
Prioritize:
Content performance is driven less by volume and more by clarity, relevance, and authority.
Accessibility should not be treated as a remediation project after content is published. Institutions should embed accessibility into publishing workflows from the start through:
These practices improve the experience for all users while also supporting discoverability across search and AI environments.
Generative AI tools can accelerate production, but scaling poor content faster only compounds existing problems. Before deploying AI broadly, institutions should establish:
Without detailed guidance, AI often amplifies inconsistency rather than efficiency.
Traditional SEO metrics like rankings and traffic remain relevant, but they are no longer sufficient on their own. To understand the full picture, institutions should begin measuring:
Meaningful measurement should show whether students can find, understand, trust, and act on institutional information.
Future-focused institutions are building digital experiences that are easier to find, easier to navigate, and easier to trust.
That means reducing barriers for both users and the teams managing the digital experience, making information easier to find, understand, access, and maintain.
AI is accelerating expectations around speed, clarity, and usability. Accessibility standards reinforce those expectations, and modern SEO increasingly rewards institutions that deliver them consistently.
At Collegis, we help colleges and universities align digital strategy, technology, content, and user experience to build ecosystems that are discoverable, accessible, and future-ready.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
Rising acquisition costs, tighter budgets, and growing scrutiny from boards and cabinet leaders are forcing colleges and universities to rethink how they operate.
Many institutions have responded with budget reductions, hiring freezes, or across-the-board cuts. Yet cost-cutting on its own rarely creates long-term stability. In many cases, it limits growth opportunities, weakens the student experience, and reduces institutional agility at a time when adaptability matters most.
The greater opportunity lies in redesigning how work gets done across the institution.
Colleges and universities that improve operational efficiency and optimize enrollment spending are not simply reducing expenses. They’re creating stronger alignment between data, technology, and institutional leadership to gain clearer visibility into performance and make smarter investment decisions throughout the student lifecycle.
Understanding where acquisition and operating costs accumulate is the first step toward building a more sustainable path forward.
Financial pressure rarely stems from one source. It builds quietly across disconnected systems, siloed teams, and reactive decision-making.
Enrollment marketing budgets continue to rise, yet many institutions lack full visibility into:
Without integrated data, enrollment cost optimization becomes guesswork. Dollars are spent, but performance insights remain fragmented.
Technology investments should drive efficiency and innovation. But in many cases, they create new layers of complexity and cost.
Many institutions operate with:
When infrastructure isn’t streamlined, operational expenses rise while innovation slows. Technology should enable efficiency, not create friction.
Data often lives in disconnected systems: CRM, SIS, LMS, finance, and marketing automation. Reporting becomes manual, forecasting becomes unreliable, and decision-making becomes reactive.
Without unified, accessible data, higher ed operational efficiency remains out of reach.
Transitions at the executive level can stall progress. Open CIO, CMO, or enrollment leadership roles create uncertainty. Strategic initiatives pause and budget alignment weakens.
Institutions lose momentum, and momentum is expensive to rebuild.
Higher ed is hard — but you don’t have to figure it out alone. We can help you transform challenges into opportunities.
Reducing acquisition and operating costs requires more than tactical adjustments. It demands structural alignment.
Institutions that achieve sustainable higher ed operational efficiency focus on three integrated levers:
When these elements work together, enrollment cost optimization becomes measurable, repeatable, and scalable.
Executive leadership shapes how institutions allocate resources, prioritize initiatives, and measure success. But hiring full-time cabinet-level leaders isn’t always feasible, especially during financial constraints.
Fractional leadership offers a strategic alternative. Experienced higher ed executives can step in to:
The impact is immediate. Institutions gain strategic clarity without adding permanent overhead. Strong leadership reduces waste before it happens. It prevents misaligned investments. And it ensures every dollar supports institutional goals.
That’s the foundation of enrollment cost optimization.
Internal IT teams are often stretched thin, managing daily maintenance while attempting to advance digital transformation initiatives. This imbalance drives inefficiency.
A managed IT services model allows institutions to:
Economies of scale make enterprise-level expertise accessible at a fraction of the cost of building large internal teams. When infrastructure is stable and proactive rather than reactive, higher ed operational efficiency improves across every department — from admissions to advancement.
And when IT operates strategically, institutions reduce unplanned expenses, project overruns, and costly downtime.
Data isn’t just a reporting tool. It’s a financial strategy. Institutions that unify their data environments gain:
When data is fragmented, leaders rely on intuition. When data is integrated, leaders rely on evidence. That shift changes everything.
With a unified data environment, enrollment cost optimization becomes precise. Institutions stop overspending on low-performing tactics and reinvest in strategies that drive measurable returns.
Data clarity reduces volatility, protects tuition revenue, and fuels smarter growth.
Each lever (leadership, IT, data) creates value independently.
Together, they transform institutional performance. Fractional leadership sets strategic direction. Managed IT stabilizes and streamlines infrastructure. Unified data informs continuous optimization.
The result:
This isn’t isolated cost-cutting. It’s institutional alignment.
Cost discipline doesn’t mean contraction. When institutions eliminate inefficiencies, they create capacity.
Capacity to:
Higher ed operational efficiency strengthens mission delivery. Enrollment cost optimization protects revenue. And aligned systems allow institutions to compete with confidence.
Financial resilience and growth are not opposing goals. When strategy, infrastructure, and data work together, they reinforce each other.
Reducing acquisition and operating costs requires a more connected approach to institutional strategy. Colleges and universities that align decision-making with the right technology and operational structure are better positioned to improve efficiency, strengthen visibility into performance, and support sustainable growth.
When strategy, systems, and spending work together, institutions gain the flexibility to reinvest resources in areas that improve the student experience and strengthen long-term outcomes.
Collegis works alongside colleges and universities to build integrated operating models that improve institutional performance while supporting each institution’s mission and goals.
Let’s build an operating model that works harder for your institution.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
Most higher education institutions aren’t struggling to generate interest. They’re struggling to turn that interest into enrollment, revealing a growing challenge within higher education lead generation today.
For many institutions, inquiry numbers look strong on paper, but downstream conversions are telling a different story. As a result, marketing teams are under pressure to deliver more leads. Enrollment teams are tasked with converting them faster. And institutional leaders are left asking the same question: Why isn’t this working the way it used to?
The answer is simple — and uncomfortable. Visibility alone doesn’t drive enrollment growth. Viability does.
To compete in today’s enrollment environment, institutions must move beyond lead volume and focus on attracting, engaging, and converting the right inquiries. This is an essential shift in student lead optimization.
For years, success in higher ed marketing was measured by reach and response. More impressions. More clicks. More inquiries. But rising acquisition costs and shifting student expectations have exposed the limits of that approach.
Institutions now face a familiar set of challenges:
The result? Teams work harder, pipelines look fuller, and outcomes stay flat. This isn’t a performance problem. It’s a strategy problem, one that requires more intentional enrollment pipeline growth strategies across marketing and enrollment teams.
Inquiry success can no longer be defined by volume alone, especially in modern higher education lead generation efforts. Viable inquiries are students who demonstrate clear program interest, academic fit, and intent to move forward.
That shift changes everything.
Instead of asking, “How do we get more leads?”, institutions must ask:
Answering those questions requires more than tactics. It requires alignment across research, marketing, and enrollment.
Institutions can’t improve inquiry quality without understanding the market they’re recruiting from. Higher ed market research provides that clarity.
Done well, it reveals:
This insight informs smarter decisions before dollars are spent. Messaging becomes more precise and channel strategy becomes more intentional. This ensures program positioning aligns with real student needs, not assumptions.
Market research turns recruitment from reactive to strategic. And it ensures institutions invest in visibility that attracts viable demand.
Higher ed is hard — but you don’t have to figure it out alone. We can help you transform challenges into opportunities.
Marketing still plays a critical role in enrollment growth, but its role has evolved.
Effective higher ed marketing doesn’t just attract attention. It plays a critical role in student lead optimization by qualifying interest before a student ever submits an inquiry.
That shift demands a more disciplined approach that requires:
When marketing is aligned to enrollment viability, institutions see fewer unqualified inquiries and stronger funnel progression. Brand visibility becomes a lever for enrollment efficiency — not just awareness.
Even the most qualified inquiry can be lost without the right follow-up experience.
Once a student raises their hand, expectations are high. Delays, generic outreach, or disconnected communication quickly erode momentum. And when enrollment teams lack insight into inquiry intent, prioritization becomes guesswork.
High-performing higher ed enrollment operations focus on:
Inquiry quality doesn’t end at the form fill. It’s reinforced — or undermined — by every interaction that follows.
The most successful institutions don’t treat inquiry quality as a single-team responsibility. They treat it as a system.
Market research informs marketing strategy. Marketing insights guide enrollment engagement. Enrollment outcomes feed continuous optimization across the funnel.
When teams operate in silos, inquiry viability suffers. When they align around shared data, goals, and outcomes, institutions gain clarity and control over enrollment performance.
This integrated approach enables institutions to:
Alignment isn’t just operationally efficient. It’s strategically essential.
Enrollment growth doesn’t come from chasing volume. It comes from intentional visibility, informed by insight, and reinforced through experience. While many institutions are already working toward this alignment, sustaining it can be challenging without the right infrastructure, integrated data, and capacity to support ongoing optimization.
At Collegis Education, we partner with institutions to help connect strategy, data, and execution across the entire enrollment lifecycle. Through our Connected Core® platform, we bring marketing, enrollment, and institutional data together into a shared, actionable view — enabling clearer insight, smarter prioritization, and more consistent conversion. The result is greater efficiency and momentum, without adding unnecessary complexity for internal teams.
If this approach aligns with your enrollment goals, our team is ready to connect and explore what’s possible.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
Fraud in higher education is evolving quickly and institutions are feeling the impact.
What was once considered a rare occurrence has become a growing operational challenge across higher education enrollment teams. Since 2019, the federal government has uncovered more than $350 million in student aid fraud tied to “ghost student” schemes, according to the U.S. Department of Education Office of Inspector General.
At Collegis, conversations about fraudulent applicants are no longer occasional. They’re happening weekly with our partner institutions as they work to manage increasing volumes of suspicious applications entering the enrollment funnel.
While enrollment teams often feel the impact first, fraudulent applications also create financial, operational, and strategic challenges across the institution.
Fraudulent applicants, also called ghost applicants, generally fall into two categories:
In both cases, the goal is the same: Gain access to federal financial aid funds through FAFSA eligibility before disappearing from the enrollment process.
Some fraudulent applicants are relatively easy to identify. Their information may contain obvious inconsistencies, such as mismatched email addresses and applicant names, invalid phone numbers, or limited responsiveness beyond email communication.
Others are much more sophisticated.
In cases involving true identity fraud, applications can appear legitimate at first glance. Contact information may work properly, documents may seem authentic, and applicants may even participate in full enrollment conversations while posing as prospective students. These applicants often move rapidly through the enrollment process, progressing from application start to submission in an unusually short period of time.
As fraud tactics evolve, institutions are finding that many of the traditional red flags alone are no longer enough.
The rise in fraudulent applications is closely tied to broader shifts in higher education enrollment.
Programs that are fully online, high volume, and designed with streamlined admissions processes are often the most vulnerable. While those characteristics are essential for improving access and scalability, they can also create opportunities for misuse.
Fraudulent actors understand where low-friction processes exist and how to move through them quickly with limited interaction.
The continued expansion of online learning, combined with increasing sophistication in fraud tactics, has only accelerated the issue. Institutions that rely heavily on manual review processes or reactive fraud prevention measures are finding it increasingly difficult to keep pace.
And where there is one fraudulent application, there are often many more behind it.
The financial implications of fraudulent applicants are significant, but the operational and strategic consequences can be even more damaging.
Enrollment teams are already working under tight resource constraints. When staff members spend time reviewing suspicious records, validating questionable documentation, or conducting outreach to fraudulent applicants, they are pulled away from engaging legitimate prospective students.
That operational strain compounds quickly.
Fraudulent applications can overwhelm staff capacity, slow response times, and create unnecessary friction across the enrollment process. In some cases, institutions may even adjust staffing models, recruitment strategies, or marketing investments based on inflated application numbers that do not reflect actual enrollment opportunity.
The impact on institutional data is equally concerning.
Enrollment and admissions leaders rely on application and pipeline data to forecast performance, allocate budgets, and make strategic decisions. When ghost applicants artificially inflate application volume or enrollment projections, institutions risk operating from an inaccurate understanding of pipeline health.
In today’s increasingly competitive enrollment environment, institutions often have less time and margin for error to recognize and respond to those shifts before enrollment goals are impacted.
Higher ed is hard — but you don’t have to figure it out alone. We can help you transform challenges into opportunities.
One of the biggest challenges institutions face today is that fraudulent behavior is becoming more sophisticated and more difficult to identify.
Many of the traditional warning signs institutions once relied on are becoming less reliable. Fraudulent applicants are increasingly mimicking legitimate student behavior and progressing further into the enrollment funnel without obvious indicators of concern.
Still, there are several patterns institutions should watch closely, including:
The challenge is that identifying these signals manually does not scale effectively, especially when institutions are managing high application volumes.
Fraudulent applications are no longer a one-off issue that can be handled through occasional manual review. Institutions need systematic, scalable approaches to fraud detection that balance security with the student experience.
One of the most effective strategies is implementing earlier identity validation within the enrollment process. Emerging tools and technologies, including solutions like Stripe Identity, now allow institutions to introduce scalable verification checkpoints before significant staff time and institutional resources have already been invested.
Equally important is adopting a risk-based approach to review.
Rather than manually investigating every application, institutions can use known fraud indicators and behavioral patterns to identify higher-risk records that require additional scrutiny. This allows enrollment teams to focus attention where it is most needed while maintaining momentum for legitimate students.
At Collegis, we’re actively developing a fraud risk scoring methodology designed to help institutions identify potentially fraudulent applications based on known application and behavioral patterns. The goal is not to create unnecessary barriers for students, but to help institutions scale fraud detection efforts in a way that is operationally sustainable and minimally disruptive to the enrollment experience.
Institutions are working hard to expand access to education and create seamless enrollment experiences for prospective students. Fraudulent applicants undermine that mission by diverting resources, distorting institutional data, and creating operational risk.
As fraudulent activity continues to evolve, institutions need scalable, proactive approaches to identity verification and fraud detection. At Collegis, we’re committed to helping partners stay ahead of this challenge through data-informed strategies and smarter enrollment solutions that protect both institutional integrity and student experience.
If your institution is navigating challenges related to fraudulent applicants or enrollment integrity, reach out to the Collegis team to learn how we can help.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
Colleges and universities are under constant pressure to innovate as they roll out new systems, expand digital platforms, and elevate the online experiences students and faculty now expect. At the same time, cyber threats are accelerating in frequency and sophistication with the help of Artificial Intelligence (AI), and higher education remains one of the most targeted sectors.
This reality recently came into sharp focus after a cyberattack affecting Canvas disrupted access for students during finals week, underscoring how deeply institutions depend on digital systems to support learning, communication, and academic continuity.
Today, cybersecurity isn’t just an IT issue. It’s an institutional risk issue. It affects enrollment, retention, compliance, research integrity, and institutional reputation. When systems go down, so does student confidence. And when data is compromised, trust erodes.
Protecting your institution in today’s threat environment requires more than reactive defense. It demands a strategic, focused approach to higher ed cybersecurity.
Higher education environments are uniquely complex. Most institutions operate across decentralized colleges, departments, research centers, and administrative units. They rely on a mix of legacy systems, cloud platforms, third-party vendors, and homegrown solutions. And they serve thousands (sometimes tens of thousands) of users with varying access levels.
This complexity creates opportunity for attackers.
Common vulnerabilities across colleges and universities include:
Add regulatory requirements like FERPA, HIPAA, GLBA, state privacy laws, and PCI compliance, and the stakes grow even higher.
Higher ed institutions aren’t just protecting systems. They’re protecting students, families, faculty, alumni, donors, and research partners. That responsibility demands a specialized security strategy — not a one-size-fits-all enterprise solution.
When a cyberattack hits an institution, the damage extends far beyond IT.
Operational disruption is often immediate. Learning management systems, ERPs, CRMs, and enrollment platforms can become inaccessible. Admissions cycles stall. Financial aid processing slows. Faculty lose access to course materials. Students lose confidence.
Then come the financial and regulatory consequences:
And perhaps most damaging of all: reputational harm.
Prospective students and families expect institutions to safeguard their personal information. Faculty and research partners expect secure collaboration environments. When trust is compromised, recovery takes time.
Cybersecurity directly supports the institutional mission. It protects student success, operational continuity, and long-term sustainability.
Higher ed is hard — but you don’t have to figure it out alone. We can help you transform challenges into opportunities.
Many institutions still operate in reactive mode, responding to incidents as they occur. But today’s threat landscape requires a proactive, layered approach.
AI is now the number one vector for data leakage, according to a recent report by LayerX Security. They found that nearly half of enterprise employees are using generative AI tools, regardless of whether the institution has a policy for use or not, and 22% are sharing PII on these platforms.
An effective higher ed cybersecurity strategy includes the following elements:
Cybersecurity must integrate seamlessly with broader IT operations. It should support infrastructure stability, cloud strategy, and data governance — not operate in isolation.
Collegis works exclusively in higher education. That focus matters.
We understand the operational realities of colleges and universities — the budget constraints, the decentralized structures, the compliance pressures, and the need to balance innovation with risk management.
Our cybersecurity services are delivered as part of our comprehensive IT Managed Services offering. That means security isn’t treated as a standalone solution. It’s embedded into the broader infrastructure, systems management, and operational support institutions rely on every day.
This integrated approach strengthens institutional resilience while supporting long-term strategic goals. Our cybersecurity capabilities includes:
We don’t replace internal IT teams. We complement them, bringing specialized expertise, scalable support, and 24/7 monitoring capabilities that most institutions can’t sustain alone.
Because cybersecurity is embedded within our IT Managed Services model, institutions gain a coordinated approach to infrastructure, risk management, and operational stability. This ensures protection is aligned with performance and long-term strategy.
At its core, our work reflects our mission to enable partner institutions through data, technology, and talent across the student lifecycle. Security is foundational to that promise.
Cybersecurity should no longer be viewed as a cost center. It’s a strategic investment in institutional resilience, innovation, and long-term growth.
A strong security posture enables digital transformation, protects data-driven decision-making, and ensures secure online and hybrid learning environments. It gives institutional leaders the confidence to adopt new technologies without increasing risk. And it reinforces trust among students, faculty, alumni, and partners.
But technology alone isn’t enough. Institutions need a cybersecurity partner who understands higher education. When evaluating support, look for a provider that offers:
The right partner doesn’t simply deploy tools. They align cybersecurity with institutional priorities, protecting what powers your mission while enabling what’s next.
Your institution’s data, systems, and reputation power everything you do, from recruiting prospective students to supporting alumni engagement. Cyber threats aren’t slowing down. But with the right strategy and the right partner, your institution can stay ahead of risk.
Explore our cybersecurity services to see how Collegis helps colleges and universities strengthen protection, reduce risk, and safeguard what matters most.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
Higher education leaders are navigating a more complex landscape than ever before. Enrollment pressure is rising. Student expectations are shifting. And teams are being asked to do more with fewer resources, while continuing to deliver meaningful outcomes.
At the center of these challenges is the student journey. Too often, it’s treated as a series of disconnected moments: marketing hands off to enrollment, enrollment hands off to student support, and retention becomes a downstream concern. But when you approach the journey as a connected, data-informed lifecycle, you create momentum that improves both enrollment and persistence.
Reimagining the student journey isn’t about adding more tactics. Aligning strategy, technology, and teams moves you from fragmented efforts to intentional execution and leads to student journey optimization across the entire lifecycle.
Today’s learners don’t follow a straight path from inquiry to enrollment. They research across channels, pause and restart their journey, and expect you to recognize them at every step. When systems and teams aren’t aligned, friction becomes unavoidable, and even strong enrollment conversion strategies lose effectiveness.
These misalignments often show up as:
These breakdowns don’t just impact enrollment metrics. They affect student confidence, momentum, and long-term success. Addressing them starts with a full-funnel view of the student lifecycle.
Reimagining the student journey requires more than isolated improvements. These four tactics focus on aligning data, strategy, and execution across the student lifecycle to reduce friction, strengthen engagement, and drive measurable enrollment and persistence outcomes. Together, they form a practical framework for student journey optimization.
If your data lives in silos, it’s difficult to understand what’s really happening across the student journey. When CRM, SIS, LMS, and marketing platforms operate independently, your ability to act proactively is limited.
A data-enabled approach gives you clarity.
To support the full lifecycle, you need to:
When your data is integrated and accessible, you move beyond reactive reporting. You gain insight into what’s driving conversion, where students struggle, and how to intervene before challenges escalate. That visibility allows you to invest resources more strategically across both enrollment and retention, strengthening your enrollment conversion strategies while reducing stop-out risk.
Higher education marketing doesn’t stop at inquiry, and neither should your strategy. The messages you deliver before enrollment shape expectations that carry into the student experience.
To support enrollment and persistence outcomes, your marketing efforts should:
When your marketing reflects the full student journey, you attract better-fit students and reinforce trust at every interaction. That consistency supports stronger conversion rates and helps students arrive more informed and engaged.
All of this sets a stronger foundation for persistence. These lifecycle-based enrollment conversion strategies also play a critical role in persistence by setting clearer expectations from the start.
Every unnecessary step in your enrollment process increases risk. Complex applications, delayed follow-up, and inconsistent communication all contribute to melt, and it strains your teams in the process.
Modern enrollment operations prioritize clarity, speed, and relevance.
That often means:
When enrollment operations are designed to reduce friction, you improve conversion while freeing your staff to focus on high-impact engagement. Counselors spend less time managing manual tasks and more time guiding students forward with confidence.
Retention efforts often begin when a student is already struggling. By then, engagement has dropped and options are limited. Improving persistence outcomes requires earlier, more intentional support.
A proactive retention strategy allows you to:
When retention is embedded into the student journey (not treated as a separate initiative), you create continuity. Students feel supported earlier, challenges are addressed sooner, and persistence becomes a shared responsibility across teams. These proactive approaches form the foundation of effective student persistence solutions.
Improving enrollment and persistence outcomes doesn’t come from optimizing one area in isolation. Your greatest gains happen when marketing, enrollment, retention, and analytics operate as a connected system.
This alignment allows you to:
It also reflects a broader shift in higher education, moving away from fragmented solutions and toward a lifecycle-based strategy. True student journey optimization depends on this level of coordination. You don’t need more tools. You need stronger alignment across data, technology, and talent.
Institutions that strengthen enrollment and persistence outcomes don’t chase trends. They make intentional decisions about how the student journey is designed, supported, and measured.
That work starts by breaking down silos and committing to data-informed decision-making across the lifecycle. It also requires a foundation that brings systems, insights, and teams together. Collegis built our Connected Core® platform to support this kind of alignment, unifying institutional data into a single, actionable environment that helps you see the full student journey and act with confidence.
Reimagining the student journey isn’t a one-time initiative. It’s an ongoing commitment to meet students where they are, guide them forward with clarity and care, and ensure every touchpoint reflects a cohesive experience.
When you take that approach, enrollment improves, persistence strengthens, and the student experience becomes a true differentiator.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
AI didn’t just show up at this year’s ASU+GSV Summit. It took over.
In past years, artificial intelligence had its own dedicated space at the AI Airshow, a pre-conference event focused on emerging tools and forward-looking innovation. This year, that separation dissolved. Not because AI mattered less, but because it now defines the conversation.
AI wasn’t a track. It was just about the entire conference.
Across sessions, vendor showcases, and side conversations, one theme dominated: how AI is reshaping higher education. From student engagement to learning design to institutional strategy, AI has become the default lens institutions use to evaluate their priorities and how they invest for the future.
And yet, what stood out most wasn’t just what was present. It was what was missing.
For all the attention on AI, there was less focus on the systemic pressures facing higher education:
These challenges didn’t disappear. Not to say it was completely absent from the conversation, it was simply overshadowed.
AI is being positioned as the one-size-fits-all solution to many of these issues, but it does not address their root causes on its own. That disconnect is one that institutions cannot afford to ignore.
One of the most important shifts emerging from the conference is how institutions are thinking about AI implementation. The conversation has moved beyond tools.
Institutions are now being pushed to rethink AI as part of how work actually gets done. That means embedding AI into core workflows, including:
This is a meaningful evolution. But the market has not fully caught up.
Many solutions are still positioned as “easy buttons,” promising outcomes without requiring operational change. That gap between expectation and execution is where many AI initiatives will stall.
AI does not transform outcomes on its own. It requires institutions to redesign workflows, rethink processes, and align teams around new ways of operating.
If there was one clear line separating institutions poised to benefit from AI and those at risk of falling behind, it is data.
AI amplifies what already exists. It does not create capability from nothing.
Institutions with strong data foundations — including integrated systems, accessible insights, and clear governance — are already moving faster. They are scaling what works and translating experimentation into measurable outcomes. Others are stuck in pilot mode.
Without the right infrastructure, AI initiatives remain fragmented and difficult to sustain. This reinforces a broader reality. Data strategy is no longer a back-office function. It is a prerequisite for institutional transformation.
Collegis sees this firsthand. Institutions that invest in unified, actionable data environments are better positioned to drive decision-making, improve enrollment outcomes, and enhance the student experience at scale.
Another shift was impossible to miss. The traditional vendor model is breaking down.
AI solutions are not static. They require continuous tuning, iteration, and alignment with institutional context. There is no one-size-fits-all configuration that works across campuses.
As a result, institutions are rethinking what they need from external support. They are not looking for vendors. They are looking for partners.
The value is no longer just in the technology itself. It is in the ability to:
This shift reflects a broader trend across higher education. Sustainable impact comes from integrated partnerships, not point solutions.
Despite the heavy focus on technology, the most compelling narrative at ASU+GSV was not about automation. It was about people.
Across sessions, AI was consistently framed as a way to free up staff and faculty time, enabling more meaningful engagement with students. In a sector built on human connection, that framing matters.
But it also raises expectations.
If AI does not lead to better student outcomes — stronger persistence, improved engagement, and clearer pathways to completion — it will quickly lose credibility. Institutions are not investing in AI for efficiency alone. They are investing in impact.
Taken together, these themes point to a critical inflection point. Higher education is in a phase of rapid experimentation. AI tools are accessible, widely adopted, and full of promise.
But many of the solutions entering the market today lack the operational depth required to deliver sustained results. There are no plug-and-play answers to enrollment challenges or retention gaps.
These are system-level issues. Solving them requires:
The next phase will not be defined by experimentation. It will be defined by accountability.
For me, the key takeaway from ASU+GSV 2026 is clear: AI will be transformative, but only for institutions prepared to do the work around it.
That involves:
Institutions that take this approach will move beyond experimentation and unlock real, measurable impact. Those that do not will risk entering the next phase of the cycle, where expectations collide with reality and skepticism begins to take hold.
That shift may very well define next year’s conversation.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
In higher education, “partnership” is a word that gets used often. But in practice, many institutions aren’t experiencing true partnership — they’re simply managing vendors.
And there’s a difference.
Institutions today are operating in an environment defined by complexity. Enrollment pressures, evolving student expectations, and increasing scrutiny around outcomes are converging all at once. Internal teams are navigating this while balancing limited time, resources, and competing priorities.
After working closely with several institutional teams, one thing has become clear: Partnership works best when it’s truly integrated. Anything less can create friction, slow progress, and limit impact.
From the outside, institutional challenges can look straightforward. But inside, the reality is more nuanced.
There are silos across departments. Not because teams don’t want to collaborate, but because aligning priorities, timelines, and decision-making across a complex organization takes time. Everyone is working toward the same goals, but forward momentum can be slow.
At the same time, most teams are stretched thin. Leaders and staff are wearing multiple hats, often balancing day-to-day execution with long-term strategic initiatives. That combination (complexity and limited capacity) creates a real challenge. It’s not a lack of ideas. It’s a lack of time, alignment, and resources to move those ideas forward.
This is where the right partner can make a meaningful difference. Not by adding more to the plate, but by helping connect the dots, reduce friction, and create momentum across teams.
Many traditional outsourcing models weren’t built for this level of complexity. They often operate with limited transparency, where institutions don’t have full visibility into strategy, performance, or decision-making.
The focus tends to be on task execution rather than outcomes. And in many cases, there’s little effort to build internal capacity or share knowledge in a way that strengthens the institution over time.
The result is a disconnect. Work gets done, deliverables are met, but the institution isn’t necessarily better positioned for the future.
That’s the gap real partnership is designed to close.
A true partnership isn’t defined by deliverables — it’s defined by shared ownership.
This looks like:
It also comes with a different mindset. One grounded in trust, where recommendations are made with the institution’s best interests in mind. A true partner asks, “What would we do if this were our own investment?”
That level of alignment allows both sides to move faster, adapt quickly, and stay focused on outcomes that matter.
When a partner is fully integrated, the way work happens changes.
Meetings shift from presentations to working sessions. Teams collaborate in real time, bringing different perspectives to the table and solving problems together. There’s a shared understanding of when to take initiative and when to pause for alignment.
That proximity leads to better and faster decisions. It also builds stronger relationships. Over time, trust develops not just through results, but through consistency, communication, and a genuine investment in each other’s success.
The work becomes more human, more connected, and ultimately, more effective.
One example that stands out to me is a partner institution that lacked clear visibility into how their marketing efforts were performing. Data existed across systems and vendors, but there was no unified view, and no way to confidently connect strategy to outcomes.
Through close collaboration across teams, we aligned on both enrollment goals and a clear learning agenda for marketing. From there, we worked together to improve data governance, clean up historical data, and build custom reporting tailored to their business and learning needs.
The result was more than better dashboards. It was clarity beyond KPIs.
The institution gained a clear understanding of attribution, which allowed them to make more informed decisions, optimize their strategy, and ultimately drive stronger enrollment outcomes.
That kind of progress doesn’t happen in isolation. It requires integration, alignment, and a shared commitment to getting it right.
True partnership doesn’t happen automatically. It’s built over time.
It starts with listening — taking the time to understand each institution’s culture, history, and priorities. From there, it requires transparency. Not just when things are going well, but especially when they’re not.
Trust is built through honesty, alignment, and consistent follow-through. And most importantly, it’s sustained by a shared focus on outcomes. When both sides are aligned on what success looks like, the work becomes more focused, more collaborative, and more impactful.
For institutions evaluating potential partners, the right questions matter.
Look for a partner who can clearly articulate their approach — how they’ll understand your institution, align to your goals, and deliver results.
Understand how the partnership will function day to day. Who are your points of contact? How accessible are subject matter experts? How is communication structured?
And just as importantly, assess flexibility. The ability to adapt, pivot, and evolve alongside your institution is critical in today’s environment.
The right partner integrates into your team in a way that drives alignment, momentum, and measurable results.
Partnership models in higher education are evolving. Institutions are looking for greater transparency, more flexibility, and stronger alignment to outcomes. They need partners who can help them do more with less, leveraging data, technology, and expertise in ways that drive meaningful progress, not just incremental change.
The institutions that move forward fastest will be the ones that choose partners differently. Not vendors who operate at a distance, but integrated teams who align to their goals, adapt alongside them, and take shared ownership of outcomes.
That’s the standard Collegis brings to every partnership — working as an extension of your team to turn strategy into measurable impact.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
Higher education is at an inflection point with AI.
Across the market, institutions are being presented with a steady stream of solutions promising fast implementation, low cost, and immediate impact. For leaders navigating enrollment pressure, retention challenges, and operational strain, the appeal is obvious. A tool that delivers quick wins and signals innovation to boards and stakeholders feels like an easy yes.
But there’s a more important question beneath the surface: Are institutions truly positioned for AI to deliver value at scale?
That’s where many AI point solutions begin to fall short.
AI point solutions often perform well in controlled environments. They demonstrate clear value in narrow use cases such as automating outreach, flagging at-risk students, or improving service response times. In isolation, those capabilities matter.
But higher education doesn’t operate in isolation.
Most institutions are working across a complex ecosystem of systems and stakeholders. Student data lives in SIS platforms, LMS environments, CRMs, marketing automation tools, and more. Even when that data exists, it’s rarely unified. Definitions vary, records are incomplete, and structures differ across departments.
So while a point solution may function well on top of a single dataset, scaling that impact across the institution becomes significantly harder. Because when data is fragmented, outcomes are inconsistent. And when outcomes are inconsistent, adoption stalls.
There’s a common misconception driving many early AI investments: that AI can compensate for weak data environments. The truth is that it can’t.
AI accelerates analysis. It identifies patterns faster than any team could on its own. But it still relies on the quality, consistency, and completeness of the underlying data. And in higher education, that foundation is often the limiting factor.
A student is not a single record or transaction. Each student represents a series of connected signals over time, including academic progress, engagement patterns, financial behavior, and support interactions. When those signals remain disconnected across systems, no AI layer can fully reconstruct the story.
The result is partial insight. And partial insight leads to partial action.
Institutions don’t need more outputs. They need outputs they can trust and operationalize.
This is why successful AI adoption in higher education doesn’t start with the model. It starts with the data foundation.
At Collegis, we approach this through the concept of the ‘student digital twin’, a connected, continuously updated view of student behavior and institutional data. The goal isn’t to introduce another tool. It’s to create a trusted layer that enables better decision-making across enrollment, retention, and student engagement.
When AI models are built on that kind of foundation, the outputs become more than predictions. They become actionable insights tied to real institutional context.
We see this directly in our own solution design and delivery work. The most effective retention strategies don’t operate as standalone tools. They rely on structured data integration, defined onboarding processes, and governance frameworks that ensure outputs are grounded in accurate, current information.
That’s the work many point solutions attempt to bypass. And it’s the reason they struggle to deliver sustained value.
Even with strong data, another challenge emerges: how AI is deployed across the institution.
Too often, AI adoption begins as a series of disconnected experiments owned by individual departments, driven by immediate needs, and implemented without a shared framework. While that approach can generate early momentum, it rarely leads to long-term impact.
Scaling AI requires governance.
Institutions need clear answers to critical questions:
Without that structure, confidence in AI erodes quickly. Teams hesitate to act on insights they don’t fully understand, leaders struggle to evaluate effectiveness, and adoption slows.
This becomes even more critical in student-facing applications. If staff can’t explain how a recommendation was generated, or if the underlying data is unclear, trust breaks down. And without trust, AI becomes another underutilized tool rather than a strategic asset.
There’s one more gap that technology alone can’t close: context. AI can generate insight, but it doesn’t understand institutional nuance on its own.
Enrollment isn’t just lead management. Retention isn’t a standard lifecycle model. Student engagement isn’t solved through automation alone. Each of these areas requires a deep understanding of how colleges and universities operate, how students behave, how teams work, and where friction actually exists.
That’s where expertise becomes essential.
It takes experienced teams across enrollment, marketing, retention, and IT to interpret AI-driven insights, determine what matters, and translate that into meaningful action. Without that layer, even the most advanced models fall short of their potential.
Technology informs decisions. People make them effective.
None of this suggests institutions should slow down their investment in AI. The opportunity is real and growing. But institutions that see lasting value won’t be the ones that adopt the most tools. They’ll be the ones that build the right capabilities.
That includes:
Point solutions will continue to play a role. Some will deliver meaningful value within targeted workflows. But they aren’t a substitute for the foundational work required to support AI at scale.
If the goal is to improve enrollment outcomes, strengthen retention, personalize engagement, or drive operational efficiency, the path forward is clear: Build the infrastructure that makes AI effective before expecting it to be transformative.
AI will shape the future of higher education, but leadership in this space won’t come from moving fastest. It will come from building with intention.
The institutions that lead will invest in data they can trust, governance they can sustain, and expertise they can rely on. They’ll move beyond experimentation and toward integration, embedding AI into the way their institutions operate, not just the tools they use.
That’s where real impact happens. And it’s where Collegis continues to focus, helping our partners build the connected, scalable foundation required to turn AI from a promise into measurable progress, grounded in a clear data and AI strategy that aligns insight with action.
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.