How to keep human connection at the center of your campus AI strategy
Students often turn to advisors, faculty, and staff when they need help, and those relationships can build a stronger sense of belonging that supports their decision to stay enrolled. As institutions begin using AI tools to help students find answers on their own, many leaders are considering how to balance AI support with opportunities for human connection.
EAB’s 2026 Student Success Leaders Survey highlights both the opportunities leaders see for AI and the personal connections they want to protect. When asked how AI and staff interactions should fit together, 75% of respondents favored keeping staff interactions the norm, including 59% who supported AI handling routine or repetitive engagements. Leaders also expressed concerns about expanding AI’s role, with 25% of respondents citing the potential loss of personal connection with students and 31% citing privacy or data security risks.
Making AI work for students means protecting their connections with people and being intentional about where technology fits into their support. These three strategies offer a starting point for keeping people at the center of AI-supported services.
1. Decide which interactions are AI-led, AI-informed, or human-led
Making AI part of student support starts with defining which tasks it can handle and where staff expertise and judgment are needed. Clear boundaries help institutions put AI to work answering routine questions and preparing information, freeing up staff time for conversations that require empathy and a deeper understanding of a student’s circumstances.
For example, a student uses a chat agent to ask about meeting with their advisor and then schedules an appointment. Before they meet, the advisor uses an AI assistant to summarize the student’s profile and inform the conversation, so they can give the student their full attention during the appointment. Here, AI leads the initial exchange about scheduling the appointment and then informs a personal conversation led by the advisor.
| Role | What defines the interaction | Examples |
|---|---|---|
| AI-led | Routine, straightforward tasks that rely on established information and require little interpretation or judgment | Answering questions about office hours or published deadlines, helping a student schedule an appointment, or drafting routine outreach |
| AI-informed | Tasks where AI gathers or organizes information that staff interpret and use to guide their work | Preparing advising summaries or generating a data report from a plain-language request |
| Human-led | Conversations that require empathy, context, professional judgment, or trust built through personal contact | Helping a student who is considering leaving college, discussing a mental health crisis, or considering exceptions to a policy |
Defining these roles helps institutions plan intentionally for moments when students need immediate help or a relationship with someone who understands their circumstances. In those moments, AI can serve as a bridge to staff by recognizing when human attention is needed, helping students reach the right person, and sharing relevant context so the conversation can move forward.
2. Use AI to connect data points that may predict which students are silently struggling
It is not always easy to tell which students are struggling, and even students who recognize that they need help may not know when or how to reach out. Using AI to recognize those needs and prompt personal outreach remains an untapped opportunity. In EAB’s survey, just 17% of leaders reported that their institutions use AI to uncover retention gaps in student success data, and only 15% use it to identify students who may need additional support.
Expanding these uses could help institutions connect with students before challenges interrupt their education. By bringing together information such as LMS interactions, missed tutoring appointments, and advising history, AI can help staff spot signs that a student may need support and identify where a human conversation could make a difference.
Institutions can start by considering how AI could help them:
- Find students whose needs might otherwise go unnoticed. Use AI to identify patterns that warrant a closer look, such as declining course participation alongside missed advising appointments. Staff can review those signals and reach out to learn what is happening.
- Provide differentiated care. Use those insights to guide the type and frequency of personal support. One student may need a brief conversation to resolve a registration issue, while another may benefit from regular meetings and coordinated assistance across several offices.
- Check whether the support is helping. Use AI to help staff track whether students attended an appointment, connected with tutoring, or resolved a hold. When an issue remains unresolved, staff can reconnect with the student and adjust the plan.
For example, AI might flag a student whose attendance has dropped and who has missed a tutoring appointment. When an advisor reaches out, they learn that the student’s work schedule has changed. Together, they discuss course options and arrange check-ins that fit the student’s availability.
AI provides a starting point for that conversation, while staff work with the student to understand what support would help. Used this way, AI can help colleges direct more personal attention to students who need it most, including those who might never ask for assistance.
3. Make AI agents a door opener to personal support
Identifying a student’s need for support is only the beginning of making a personal connection. Institutions also need clear ways for students to reach someone, whether AI flags a concern or a student asks for more guidance. For example, a chat agent might explain how to withdraw from a class, while the student wants to discuss financial aid implications with someone in person. Planning those transitions helps students move easily from getting information to having a conversation.
Ways to keep clear pathways to people are:
- Give students a choice. Make it clear when students are interacting with AI and provide an easy way to request a person. Students should be able to choose personal support even when their question is routine.
- Identify what should trigger personal support. Define phrases and scenarios that prompt AI to bring in staff, such as “I’m thinking about leaving,” repeated confusion about financial aid, or a mental health emergency. Consider the conversation’s context alongside keywords, since students describe similar needs in different ways. Urgent safety concerns should activate the institution’s established emergency support process.
- Explain why talking to a person could be helpful. When a trigger appears, AI can explain why speaking with someone could help: “A financial aid advisor can talk you through how withdrawing from your course might affect your financial aid. Would you like help connecting with one?” Depending on the situation, the next step could be to issue an alert to staff, offer an appointment, or send a follow-up.
- Make someone responsible for follow-up. Decide which staff member or team receives each request, what relevant context accompanies it, and who checks that the student received help. Review handoffs periodically to identify missed connections and adjust the process.
For example, a student might ask a chat agent which courses fit a particular career interest. The agent could provide approved program information and help arrange a conversation with an advisor who can explore the student’s interests in more depth. With a clear path between the two, AI helps the student begin a relationship that can support them throughout college.
How EAB can help
EAB’s approach to AI keeps humans at the center, focusing on connecting students and staff. The embedded AI in Navigate360 helps students get timely support and gives staff more room for the conversations and relationships that matter to student success.
Tools include:
- AI Assistant for Staff: Helps staff prepare for student meetings, summarize notes, draft communications, and generate reports through plain-language requests, giving them more time to interpret information and work directly with students.
- Agent Campaigns: Help teams coordinate proactive outreach and follow-up so students receive timely prompts to take their next steps and staff can focus their attention where personal support is needed.
- AI Assistant for Students: Gives students a place to ask questions, find information, and connect with relevant resources around the clock, with pathways to staff when students need more help.
These tools operate within a bounded AI system, where institutions set guardrails for how AI behaves, what information it draws on, and when staff need to become involved. EAB works alongside campus teams to establish those boundaries and address privacy and security needs, helping institutions put AI into practice in ways that reflect their expectations for student care.
As conversations about AI in higher education evolve, the focus has shifted from experimentation to figuring out where AI adds real value while maintaining a strong human connection with students. That means being thoughtful about where AI can make support easier, where students still need people, and how the two can work together.
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