AI + Digital Transformation in HE: Preparing Your Data for AI Agentification

This article is part two in my series: Higher Education 4.0: Data-Driven AI Transformation and Agentification. - Exploring how data readiness and AI agents are reshaping the digital roadmap of Higher Education.

---

In my first article in this series, AI + Digital Transformation: Start with your Data, I outlined the foundational steps for AI adoption in Higher Education:

• Preparing data structures for AI integration

• Centralising internal knowledge for AI retrieval

• Training staff to understand and work alongside AI systems

This follow-up focuses on the groundwork needed to make that possible — by first understanding your data and preparing it to be accessed and used by emerging AI retrieval systems.

AI agentification is rapidly shaping business AI strategy in 2025 — and that shift matters for universities too, as it begins to reshape institutional AI strategies in Higher Education. Institutions that delay aligning their data and systems risk falling behind, as peers move faster and more strategically in this space.