Building an AI Modernization Strategy for a Global Higher Ed Institution | Magic EdTech

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Case Study

Building an AI Modernization Strategy for a Global Higher Ed Institution

Key Result Highlights

  • Delivered a clear, scalable roadmap for AI transformation across the institution.
  • Projected to improve student engagement and course completion by 15–20%.
  • Enabled internal alignment on AI investment and multi-phase deployment.
  • Positioned the university as a digital innovation leader in global higher education.

The Client

The client is a globally positioned academic institution serving over 20,000 learners across diverse programs, with a mission to advance innovation in education and research.

The Challenge

The institution faced growing pressure to deliver adaptive, connected, and data-informed learning experiences. They needed a strategic partner to envision and plan a modern AI-enabled ecosystem that could support personalized learning, faculty productivity, and institutional
decision-making.

Critical Success Parameters

    • Identify 10+ high-impact AI use cases across teaching, learning, and administration.
    • Recommend a modular, scalable architecture with cross-platform interoperability.
    • Demonstrate AI capabilities in adaptive tutoring, assessment, and mastery tracking.
    • Enable rollout planning and governance across 3 academic divisions and 2 IT teams.
    • Compare out-of-the-box vs. custom AI solutions with cost-benefit analysis.

Our Approach

    • Conducted persona-based mapping of AI use cases for students, faculty, and administrators.
    • Developed a phased rollout roadmap, starting with pilot deployments in 3 departments.
    • Delivered working product demos using MagicBox, ezPrep, and KEA to showcase readiness.
    • Proposed a centralized architecture featuring:
      • Socratic AI Tutor to drive 30–40% increase in active student engagement.
      • RAG-powered Knowledge Base enabling semantic search across 1M+ content artifacts.
      • AI Question Generator & Grading Engine to cut authoring and grading time by 50–60%.
      • Analytics Suite for student progress insights across 100+ courses and pathways.
    • Presented cost models estimating 15–25% TCO savings with modular AI implementation.

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