AI Consulting for
Student Affairs &
Higher Ed Professionals
PRACTICAL SKILLS
ETHICAL APPROACH
HUMAN-CENTERED EXECUTION
Trusted by these renowned organizations and their teams
AI isn’t a future trend. It’s already reshaping how work gets done.
And for Student Affairs teams, that reality may bring tension.
Most higher ed professionals are being asked to do more with less while navigating unclear guidance, ethical concerns, and very real human impact.
That’s where Fisheye can help.
We help Student Affairs divisions use AI thoughtfully, ethically, and practically— so teams can reduce overload and improve effectiveness.
AI done well doesn’t replace people.
It supports them.
And happier teams serve students better.
Our Services
1
Introduction to AI for Student Affairs Pros
This 1.5 virtual workshop is a foundational session that demystifies AI and sets clear ethical guardrails for Student Affairs work.
What's covered:
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What AI is (and isn’t) in plain language
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Ethical use, privacy, and institutional boundaries
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Clear do’s and don’ts for Student Affairs roles
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Real scenarios staff are already facing
Org outcome:
Teams feel informed, aligned, and confident navigating AI, without fear or misuse.
2
AI for Productivity in Student Affairs
A 1.5 hour virtual workshop focused on using AI to streamline everyday work, without compromising care, privacy, or trust.
What's covered:
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Low-risk, ethical productivity use cases
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Streamlining drafting, planning, and admin tasks
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Setting boundaries around student data
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Maintaining campus tone and values
Org outcome:
Less burnout, more capacity, and immediate time and budget savings.
3
Leading Teams
Using AI
A 1.5 virtual workshop designed for managers and directors navigating AI’s impact on people, performance, and morale.
What's covered:
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Setting team norms and expectations
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Managing AI-assisted work fairly
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Supporting staff with different comfort levels
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Leading change without increasing stress
Outcome:
More confident leadership and healthier team dynamics during change.
WHY FISHEYE
We started in higher education—and we’re bringing back what higher ed needs now.
Both of our lead facilitators began their careers in higher education, working closely with students, staff, and campus communities. Since then, we’ve partnered with tech organizations navigating rapid change—including Meta and Microsoft—to help teams adopt new AI tools thoughtfully and responsibly.
Now, we’re bringing those insights back to higher education to help Student Affairs teams reduce overwhelm, navigate AI with confidence, and protect what matters most: people, culture, and trust.
Our work helps institutions:
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Translate AI from an abstract concept into practical use
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Navigate ethical and cultural boundaries with confidence
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Support staff wellbeing while increasing effectiveness
This isn't about turning Student Affairs into tech. It's about giving higher ed teams the tools and perspective to lead responsibly in an AI-enabled world.
MEET THE FACILITATORS
Matthew Ferguson
Co-Founder & Lead Facilitator
Matt began his career in higher education as an Administrator, Faculty Member, and the Founding Director of Rutgers University’s Leadership & Experiential Learning Department. For over a decade, he designed and facilitated leadership, experiential learning, and team development programs for students and staff.
Today, Matt leads Fisheye Learning, drawing on his extensive facilitation experience across education, service, and hospitality. His work centers on building strong teams, translating complexity into action, and creating engaging learning experiences that resonate with higher ed professionals.
Nina Duong
Senior Consultant
Nina holds Master’s in College Student Affairs from Rutgers University. Her career spans higher education, organizational consulting, and large-scale training initiatives. At Fisheye Learning, Nina focuses on helping institutions improve team performance, navigate change, and adopt new tools—including AI—in ways that align with higher education values and student-centered missions.
See all the services Fisheye has to offer here: