Context
The institution had strong interest in AI but no shared model for readiness, policy, or priority workflows.
Representative case study
University AI Readiness Sprint
A short readiness sprint can turn diffuse AI interest into a sequenced institutional roadmap.
A university readiness sprint mapped faculty capability, assessment pressure, governance gaps, and initial pilot opportunities.
readinesshigher educationpilot design
Intervention
ATRISI mapped current practices, surfaced assessment and research workflow gaps, and translated signals into program recommendations.
Outcome
The sprint produced a readiness narrative, workshop sequence, and initial pilots aligned to governance and faculty needs.
Related content
Continue the thread.
Framework
AI Readiness Framework for Higher Education
A university readiness model that connects AI use to governance, curriculum, assessment, and research outcomes.
Program
Resonance with AI
Resonance with AI enables faculty and universities to redesign learning and research with AI-native methods.
Insight
Why AI Adoption Fails in Universities
Universities do not fail at AI because faculty lack curiosity. They fail when adoption is treated as procurement instead of institutional redesign.
Strategic engagement