Artificial Intelligence (AI) is no longer a futuristic idea reserved for laboratories and technology enthusiasts. It is here, woven into the systems we navigate daily, from the recommendation on Netflix to the email that suggests our next meeting. Yet, for many university administrators, the question still lingers: What does AI have to do with me?

During the 11th KNUST Summer School (22nd – 23rd October 2025), I had the honour of facilitating a session for the Registrar’s Division on “The AI-Driven Era: Building Capabilities and Mechanisms for Higher Education Administration.” What unfolded was not just a workshop but a necessary conversation about the evolution of administration in an AI-enabled world.

AI’s evolution has mirrored the changing demands of human problem-solving. Software 1.0 relied on explicit human instructions such as, “If staff is 60, mark retired.” Then came Software 2.0, where machines learned patterns and predicted behaviour. Now, Software 3.0 has emerged, a generation where we communicate with our systems through natural language.

In this new phase, English has become the new programming language. An administrator need not be a coder; what is required is the clarity of thought and command of language to guide machines intelligently.

Dispelling the myths

The conversations during the session revealed a lingering unease that AI will replace people. The truth is simpler and far more empowering: AI will not replace administrators; administrators who use AI will replace those who do not.

AI does not think like a human being. It processes probabilities, identifies patterns, and offers predictions. It automates repetitive tasks but opens entirely new avenues for analytical and creative engagement. Our challenge, therefore, is not fear; it is adaptation.

And adaptation demands responsibility. AI is only as ethical as the data that feeds it. We must remain vigilant about privacy, fairness, and bias. Every administrator must become a steward of digital ethics, ensuring that automation never replaces judgment.

The Registrar’s Office: The first data engine

The Registrar’s Office is often seen as a hub of bureaucracy, full of files, forms, letters, and policies. In reality, it is a data powerhouse. Every meeting agenda, correspondence, and signed minute generates structured and unstructured data, the fuel that powers AI.

The aim, as Carly Fiorina once said, “is to turn data into information, and information into insight.”

Our offices must evolve from repositories of paper to centres of decision support. By adopting an analytics mindset, administrators can move beyond asking what happened to exploring why it happened and what should happen next.

In our discussions, I introduced the Analytics Ascendency Model, a pathway that transforms routine reporting into predictive and adaptive intelligence. This is the model of the future Registrar’s Office: an engine that runs on data, analytics, and ethical intelligence.

The Microsoft 365 imperative

The second day of our training moved from philosophy to practice. We explored Microsoft 365, not just as a toolset but as an ecosystem for collaborative administration.

Using Teams, Planner, Lists, and Outlook, we simulated workflows for secretarial and managerial tasks, explored automation for leave applications, and discussed how committees could function seamlessly through shared digital spaces. A proposed Governance Structure for Microsoft Groups illustrated how communication could cascade from the Registrar to college and departmental levels, creating an agile and transparent administrative system.

When infused with Copilot, Microsoft’s AI assistant, these platforms can draft letters, summarise reports, and schedule meetings, all within the framework of institutional control and human oversight.

Building the AI toolbox

At the close of the session, administrators were challenged to design their own AI Toolbox, a curated set of applications and practices for daily productivity. The task underscored a simple truth: AI is not magic; it is mastery through mindful use.

By combining workflow automation, ethical awareness, and continuous learning, every administrator can become an architect of digital excellence.

A call to the data-driven future

As universities transition into an AI-driven era, our effectiveness will depend not on how much technology we own but on how intelligently we use it. AI is not here to replace empathy, discretion, or institutional memory; it is here to enhance them.

For KNUST, the road ahead is clear. We must infuse AI into our administrative culture, ethically, collaboratively, and strategically, ensuring that every byte of data supports the university’s mission of excellence.

If “knowledge is power,” then in this century, data is the new currency, and AI is its language.

By Emmanuel Mfum-Mensah, Head of Data Analytics, UITS-KNUST