What transformation looks like in higher education

In student services, an on-top assistant can draft replies to common inquiries and triage the queue. An inside feature can improve knowledge article tagging and accessibility in the LMS. Underneath, the service becomes a true case management flow: the AI front door understands intent, checks policy, extracts key details from attachments, verifies information against the SIS, drafts a response, and, when confidence is low or the case is sensitive, routes to an advisor with a concise brief. The result is faster answers for students, fewer handoffs, and advisors spending their time on complex or delicate situations where human connection matters.

In admissions and financial aid, on-top document extraction lightens the load, and inside tools help detect duplicates or missing components. Underneath, the whole journey changes: transcripts are parsed automatically, exceptions are identified early, communications go out at the right moments, and verification requests are personalized and clear. Staff review edge cases rather than rekey information. The effect shows up in conversion, melt, and satisfaction measures.

In the research enterprise, on-top tools help principal investigators (PIs) and research administrators digest funding announcements and assemble checklists. Inside functionality improves eRA routing and guards against omissions. Underneath, the workflow extends from opportunity scanning through intent collection, budget and data management plan drafting, compliance pre-reviews, award setup, spending guardrails, and closeout. Policy is enforced by the flow, not by memory. Researchers see fewer delays and touchpoints; the office spends less time pushing paper and more time advising on strategy and risk.

The economics that persuade cabinets and boards

Executives do not buy technology; they buy outcomes. The case for on-top investment is straightforward: it is the fastest route to capacity relief and a morale boost, despite providing diffuse benefits and not yielding hard dollar ROI. The case for inside is about quality and speed within critical systems you already own and optimizing your investments in these systems. The case for underneath is about economics and competitiveness.

When a process is rebuilt underneath, three things happen simultaneously. Lead times fall, which improves student satisfaction and enrollment yield and shortens the funding cycle in research. Unit costs stabilize because routine work is handled consistently by digital workers, not by heroic manual effort. Risk exposure narrows because policy is embedded in the flow and exceptions are surfaced early. Institutions then have a choice: bank the savings, redeploy capacity to higher-value work, or reinvest in service improvements. Most choose a blend of all three.

It is helpful to frame the underneath business case in the language of outcomes rather than features. What would it mean if an admitted student received answers in real time instead of hours or days? How would the research portfolio change if proposals were submitted with fewer errors and weeks faster? What is the value of moving staff time from checklist chasing to advising at critical moments?

A pragmatic path forward

Successful institutions move in three waves that build on each other. The first wave is about visible wins: launch a handful of on‑top assistants in areas with high volume and low complexity and measure the benefits you care about, such as response time, first‑contact resolution, and staff hours returned. The second wave is about locking in gains: turn on inside features where your platforms are ready and update procedures so the improvements stick. The third wave is about recomposing one signature value stream underneath, such as student services end‑to‑end, or pre‑award to closeout, so that everyone can see what a process‑native, policy‑aware flow feels like. This is not a technology program alone; it is an operating model change with a product owner, a clear outcome, and a cadence of releases.

Most institutions can reach the third wave in a year if they choose one value stream, name an executive sponsor, and fund a small, persistent team that combines process owners, technologists, and change leaders. First achieve success with a narrow focus and then scale. The decision that accelerates everything is to manage the work by outcomes rather than by systems. When the KPI is time from inquiry to resolution or days from intent to submission, the organization naturally aligns around the student or the PI, not the application.

Make the ask in your next cabinet meeting

The most productive conversations begin with outcomes. Which student or research journeys would be meaningfully different if lead times were cut in half? Where does the work cross multiple systems and teams today? Which moments truly require a person’s judgment or empathy and which do not? If you choose one journey to rebuild underneath, who will own the outcome, how will you measure progress, and how will you communicate the change to the people whose work is affected?

Leaders do not need to solve everything at once. They need to choose one place to win, demonstrate what underneath feels like, and then expand with confidence. The early on‑top wins create credibility and funding. The inside features raise the floor. The underneath redesign raises the ceiling.

Start here

Begin where the friction is visible, the risk is manageable, and there is willingness. Prove results quickly with on top assistants. Turn on inside capabilities in systems you already own and adjust procedures so the gains stick. Then, for one or two signature value streams, put AI underneath the work and manage by outcomes. The aim is not novelty; it is durable advantage: faster student support, healthier enrollment, a stronger research portfolio, and staff whose time is spent where it matters most;

AI will touch every corner of higher education, but it will not create an advantage on its own. Advantage comes from where you place AI.

• On top delivers convenience.
• Inside delivers step‑change improvements.
• Underneath delivers a new operating model.

Institutions that master the progression will serve students and researchers better, steward resources more effectively, and compete with confidence in the decade ahead.