From Hype to Action: A Practical AI Framework for Higher Education

Why Read This Research

While many higher education institutions are developing AI governance policies, leaders often face challenges with practical implementation. This white paper introduces a risk-based framework to guide institutional AI efforts, enabling rapid deployment of low-risk innovations while ensuring careful oversight for high-risk applications.

Key Questions Answered

• What key AI challenges must institutions address to manage risk while building capability?
• What steps should a higher education institution take to develop an AI strategy that supports effective governance, a culture of safe experimentation, and a clear strategic focus?

Features

• Software Category in Focus: AI/ML Platforms
• Future Campus Impacts: Retain, Employ, Operations, Revenue, Governance, Innovate
• Author: Alpha Hamadou Ibrahim, PhD, Vice President of Data, Analytics, and AI, Tambellini Group
• Research Availability: November 2025

Table of Contents

1. Executive Summary
2. Hype vs. Reality: Defining the 2025 AI Capability Spectrum
3. The Core Challenges: A Comprehensive Assessment
4. A Practical Action Plan