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December 11, 2025
Pulse Check: Building the Modern Campus - A Higher-Ed Project Management Playbook Part 2

Building the Modern Campus - A Higher-Ed Project Management Playbook Part 2

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About the Episode

About The Episode:

Jake Tolman sits down with Kirsten Gallagher, founder of Kaizen Ninja and a process improvement expert, to explore how AI can be a powerful tool for refining operations and driving better student outcomes in higher ed. This episode dives deep into the messy middle of project implementation—where systems break down and process gaps become most apparent—and explores how AI can help campuses spot inefficiencies, adapt quickly, and scale with confidence. Whether you’re mapping out admissions workflows or figuring out how to better serve military students, this is a must-listen for higher ed PMs and campus leaders alike.

Key Takeaways

  • AI is not a replacement for human expertise—it’s an accelerator. When paired with the right subject matter knowledge, AI can help you quickly identify inefficiencies and improve processes across departments.
  • Process variation is the silent killer of student success. AI can surface blind spots and inconsistent outcomes by analyzing large datasets and flagging where specific student subgroups are being underserved.
  • Data quality matters more than ever. AI thrives on clean, consistent, and relevant data. Knowing what data to collect—and what data you’re not collecting—is key to transforming student journeys.
  • AI can enhance team collaboration and reduce resistance to change. By offering context-aware recommendations and support for softer skills like communication and change management, AI can actually improve team dynamics.
  • Don’t start big—start smart. Experiment with low-risk AI use cases, like identifying where students are dropping out of a process, to build confidence and show measurable impact.
  • Scalability requires process maturity. As institutions grow, they often outgrow their original workflows. AI helps keep up with scale by improving predictability, consistency, and personalization.

Episode Summary: Your FAQ on AI and Process Improvement in Higher Ed

How can AI support process improvement in higher education?

AI serves as a dynamic tool for accelerating change—not replacing people, but enhancing their ability to make data-informed decisions. Kirsten explains that AI can quickly identify inefficiencies or bottlenecks in student-facing processes like admissions, financial aid, and course registration. Instead of relying on gut instinct or anecdotal feedback, AI allows leaders to spot issues and act with confidence. Think of AI as a high-powered flashlight, exposing the dark corners of your workflows so you can clean them up.

When AI is applied to continuous improvement strategies, it becomes a tool for pattern recognition, risk detection, and time-saving automation. That means fewer manual checklists, fewer missed student touchpoints, and more time for staff to focus on meaningful engagement.

What’s the biggest barrier to better processes on campus?

Surprisingly, it’s not always the systems themselves—it’s the assumptions we make about the students we serve. As Kirsten notes, most institutions build workflows for the “average” student. But in reality, military-connected students, student-athletes, part-timers, and adult learners often fall through the cracks because the system wasn’t designed with them in mind. AI can help flag those misses early, ensuring no student is left unsupported due to outdated logic or rigid processes.

Moreover, AI can identify variance in output quality and spot where certain groups aren’t advancing through the funnel as expected—giving leaders a chance to intervene before complaints roll in.

What kind of data should schools be tracking to optimize processes?

Effective AI use hinges on the right data. Instead of drowning in reports, Kirsten advises schools to track key lifecycle milestones—where a student is, where they’re going, and what barriers they encounter. Platforms like Element 4.1 can unify this data, offering a single view from inquiry to graduation.

Just as important is recognizing what data you aren’t capturing. Missing fields or incomplete records could point to gaps in your onboarding workflows or communication plans. AI can flag these absences, allowing you to tighten up forms, feedback loops, and touchpoints before they derail a student’s progress.

How can teams strike the right balance between AI tools and human judgment?

AI’s power lies in its ability to process data at scale—but it still needs human context to be effective. That’s why Kirsten encourages project managers to treat AI as a collaborator, not a dictator. While AI might suggest automating a step or cutting redundant tasks, it’s up to campus leaders to decide what makes sense for their culture, their students, and their goals.

One helpful trick? Use AI to “coach” yourself through tough team dynamics. Ask tools like ChatGPT how to present ideas to different personality types, or what questions might uncover resistance. This isn’t just about optimizing workflows—it’s about improving communication, fostering buy-in, and building trust.

What are the “8 wastes” of process management and how does AI help reduce them?

Drawing from lean manufacturing, Kirsten points out that most of the work in a process—from early planning to post-launch cleanup—falls into categories of waste. That includes things like waiting, over-processing, excess motion, and more. AI helps cut through that waste by recommending what to trim, automate, or reassign.

For example, AI can suggest eliminating redundant forms, identify repetitive staff tasks that could be handled by bots, or streamline communications so students get what they need faster. The result? A cleaner, more focused process—and a better student experience.

How can institutions start experimenting with AI in a low-risk way?

You don’t need a multi-million dollar transformation project to get started. Kirsten recommends starting small: Pick a simple process where you often get stuck—like outreach to non-traditional applicants—and ask AI how to improve it. Even something as basic as, “What questions should I ask to fix this step?” can yield surprising insights.

Use AI to generate checklists, flag missing data, or provide communication scripts. Build your confidence and show early wins, then scale up. Remember, AI doesn’t replace your expertise—it amplifies it.

Enrollify is produced by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.

People in this episode

Host

Jake Tolman, Owner of Mainform Consulting, is a seasoned project management consultant.

Interviewee

Kirsten Gallagher

Kirsten is known for the passion and enthusiasm she brings to process improvement.

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