What we do
Capacity development, applied research, policy dialogue, advisory, and partnerships.
Strategic intelligence for education
Geneva Centre of Excellence for Global Impact
AI transformation for education, deployed.
Build workflows and cohort platforms that move institutions beyond pilots.
Curated by Ureka Education Group
Focus map
Education AI
Transformation Maps
Explore the connected issues shaping AI adoption in education.
GCEGI turns governance, support, faculty adoption, and cohorts into working workflows.
Discover focus areasOverview
Bridging policy, practice, and research
A Geneva-based centre for practical AI adoption in education.
Who we serve
Education leaders, public institutions, agencies, universities, and partners.
Rooted in Geneva
A Geneva base connected to international training systems.
The Challenge
Why AI stalls inside education institutions
Pilots are easy. Operating change is harder.
Pilot Purgatory
Pilots look good in demos. They rarely reach daily operations.
Content Without Capability
Courses create awareness. Institutions need systems and teams.
Governance Gaps
Privacy, integrity, data control, risk, and oversight lag behind.
Why Now
Students moved first. Institutions need an operating layer.
Adoption is near-universal. Capability, training, and governance still lag behind.
95%
of students already use AI
HEPI 2026
38%
say their institution provides AI tools
HEPI 2026
48%
feel supported to build AI skills
HEPI 2026
#2
priority: The Human Edge of AI
EDUCAUSE 2026
Source: HEPI / Kortext Student Generative AI Survey 2026, 1,054 UK undergraduates.
The Geneva Centre Advantage
Three pillars of sustained AI value for education
AI only matters when it changes how people learn, teach, administer, and decide.
AI Operating Models
We redesign admissions, services, faculty support, assessment, research, and operations.
White-Label Cohort Infrastructure
A platform for academies, executive education, certificates, cohort classes, and challenges.
Governance & Adoption
Human oversight, role-based access, privacy, adoption support, and clear metrics from day one.
Where Institutions Are Buying Now
AI systems tailored for education institutions
Institutions need systems that improve service, teaching, and trust.
Student Journey Copilot
One trusted front door for student support.
One front door across admissions, advising, financial aid, registrar, IT, and student services.
Admissions / Advising / Financial aid / Registrar / IT / Student services
Expected result: Faster answers, fewer tickets, clearer journey data.
Teaching & AI Governance Hub
Turn AI policy into classroom practice.
Faculty support, assessment redesign, AI-use rules, syllabus language, and audit trails.
Faculty support / assessment redesign / AI-use rules / syllabus language / audit trails
Expected result: Clearer policy, stronger faculty confidence, fewer integrity disputes.
Student experience over fragmented service. Academic trust over unmanaged AI.
Ready to Deploy
Launch branded cohort programs without rebuilding the operating layer
Your brand, learners, and programs on one governed platform.
- 01
Marketing & Enrollment
Landing pages, registration, payments, partner links, onboarding.
- 02
Participant Experience
Dashboards, milestones, resources, sessions, completion.
- 03
Program Operations
Cohorts, schedules, teams, submissions, rubrics, controls.
- 04
Reporting & AI Assistance
Dashboards, exports, AI summaries, reviewer support.
White-label infrastructure for AI-enabled learning programs.
Governed by design
Trust controls, built into the operating model.
Human review, access control, and audit trails are launch requirements.
Human in the loop
Every consequential AI action is reviewed or escalated to a person.
Role-based access
Staff, faculty, and students see only what their role permits.
Your data, your models
Model-agnostic; your data and IP stay in your environment.
Privacy & compliance
Designed for FERPA, GDPR, and EU AI Act alignment.
Full auditability
Every prompt, source, and decision logged for export.
Academic integrity
Course-level AI rules with transparent, citable sourcing.
Standards alignment: FERPA / GDPR / EU AI Act
Implementation Model
From AI ambition to operating change in 30 to 90 days
Diagnose, build, and embed around the workflows that matter most.
01
Week 1
Diagnose with you
Map high-value workflows and define the first measurable AI use cases.
02
Weeks 2 to 4
Build for your institution
Deploy the first workflow, platform layer, or cohort operating system.
03
Week 4+
Embed & scale
Train teams, monitor adoption, measure outcomes, and expand.
Transformation that sticks
Build the system, embed it in operations, and measure what improves.
Example workflows
Admissions triageStudent supportFaculty copilotsResearch administrationCohort delivery
Think Tank
Research, dialogue, and partnerships
GCEGI brings education, policy, and development leaders together around practical adoption.
Applied research
Evidence on adoption, governance, and institutional practice.
Policy dialogue
Connecting standards with what institutions can actually run.
International collaboration
Partnerships with training systems, agencies, and academic networks.
Start with the workflow diagnostic.
- Institutional capability over AI workshops
- Production workflows over isolated pilots
- Human-reviewed AI over unmanaged tools
- Your data and governance over lock-in
Get an Institutional AI Value Diagnostic.
Map the highest-value workflow to start with.
Request a diagnosticDiagnostic focus
Where AI is already used
What can deploy in 30 to 90 days
What controls are required