Ateneo de Manila University

Janice Bello is the first Chief Information Officer and VP for Digital Information and Technology Services (DITS) at Ateneo de Manila University, where she established the university's centralized IT function. She brings 25 years of cross-industry experience, having led infrastructure operations and cloud transformation in the telecommunications and utilities sectors before moving into higher education. Her philosophy is foundations-first: build governance, security and trusted data before scaling analytics and AI, grounded in the belief that digital transformation is, at its core, people transformation.

Connecting Systems to Strengthen Student Experience

For me this starts with a mindset shift. At Ateneo we moved from systems thinking to student-experience thinking. What this means is simple: we let technology handle the routine, repetitive work, so our people can give their time to the students who need a real person. Like many universities that grew over decades, some of our systems grew up separately, so a student could end up logging into several of them just to move through enrollment. When we modernized our Wi-Fi and moved toward one secure login, that direction came from the students themselves. These were the things they told us made their day harder. The Ateneo Student360° Program is our effort to bring admissions, enrollment, services and graduation into one connected journey. None of this replaces the human side. It gives faculty and staff more time for teaching, mentoring and formation, which for a Jesuit university is really the heart of what we do.

Balancing Innovation with Accessibility and Engagement

For us, digital equity means three things: connectivity, access and simple processes. It starts with the basics: good coverage and an easy, secure login for everyone, not the newest tool. Accessibility cannot be an afterthought. If we do not design for it from the start, we end up with something that works for most students but leaves others behind. On engagement, I have learned to look past the numbers that only look good on a dashboard and ask a harder question: does this actually make things easier for students and faculty and are people still using it a month later? If a tool adds friction, for me that is not success. And before we automate anything, we take time to understand and improve the process together with the people who own it, because technology should make a good process better, not simply speed up what is already there.

Digital Transformation Begins with People

The most important lesson I learned is that digital transformation is really people transformation. Technology only supports it. As Ateneo's first CIO, I was asked to bring a distributed IT setup into one organization and that taught me quickly that a system, on its own, changes nothing. It is the people and the processes around it that make it work. Two things mattered most. First, IT cannot sit at the end of the line, brought in only to build what has already been decided. It has to be a partner in the value stream, part of the planning from the start, the way ITIL treats IT as a service to the whole institution, not a back office. Second, people support what they help shape, so we lead with small, visible wins and shared ownership rather than big announcements. Trust is earned slowly, one improvement at a time.

“A system, on its own, changes nothing. It is the people and the processes around it that make it work.” 

Building Digital Solutions through Shared Ownership

For every major initiative, we do not leave it with IT alone. We use what we call a two-in-a-box model: two leads on each project, an academic or administrative owner who holds the "why," and a technology lead who holds the "how," sharing the same goals and the same definition of success. We review learning technology through an EdTech Committee, so we weigh teaching value, academic integrity and responsible AI use together: pedagogy first, tools second. And we try to design with students, not just for them: we listen to where they actually get stuck and map their journey through our systems, because much of what we prioritized, like better Wi-Fi and a simpler, secure login, came straight from the problems they told us about. When it works, people call it "ours," not "IT's project." That shared ownership is what makes a solution actually fit the need.

Building the Foundation for Responsible AI

Everyone will say generative AI and it does matter. But I would frame it carefully. In high-stakes areas like admissions, financial aid and advising, AI should support the decision, not make it. A person keeps the judgment and the accountability. The honest reality is that most AI pilots fail and usually not because the model is weak, but because they are built on data that is not yet ready. That is why, for us, the aspiration for AI starts with data. The data and AI roadmap and aspirations for Ateneo follow Gartner's Data and Analytics Strategy and Operating Model and it is deliberately foundations-first. We are working up the data-maturity curve: cleaning up and connecting our data, putting governance in place so it is accurate, secure and responsibly used and starting with small, trusted wins like reliable dashboards before we scale. In practice that also means every new enterprise system we bring in is built to be AI-ready, so the intelligence layer can sit on a trusted foundation later, rather than being forced on too early. For us, innovation is not about being first. It is about being ready.