[ 01 ]
School AI Strategy & Governance Framework.
Vision, ownership model, Board oversight, approved-tools policy, human-oversight rules, and an assessment-integrity approach — built into your existing school governance, not layered on top.
Outcome: a strategy your Board can approve and your leadership team can implement.
[ 02 ]
Teacher AI Literacy Curriculum.
A staged programme aligned with UNESCO's AI Competency Framework for Teachers and DigCompEdu — subject-specific, cohort-based, and sustained through Professional Learning Communities.
Outcome: teachers fluent enough to lead AI in their classroom, not to be led by it.
[ 03 ]
Student AI Literacy & Assessment Redesign.
Age-appropriate AI literacy for students, calibrated to Swiss cantonal curriculum expectations — combined with a workable approach to assessment integrity in a generative-AI world.
Outcome: pedagogy that survives the technology.
[ 04 ]
Board & Leadership Briefing.
A structured session for your Board or leadership team on what AI now puts on the school — with a diagnostic your Board can use to test its own readiness.
Outcome: a Board that knows what it does not yet know about AI in your school.
[ 05 ]
Parent & Community Engagement.
Communication frameworks for parent evenings, community briefings, and public position statements on AI use in your school.
Outcome: parent trust built on substance, not on defensive silence.