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.
Need Similar Results?
Talk to our team to see how we can help.