AI Governance Health Check
Review approved uses, data handling, human oversight, supplier/model risk, policies, staff guidance and decision-making controls.
Education
We help schools, academy trusts, colleges and universities understand where technology, AI and automation can remove friction while preserving human accountability, accessibility, security, data protection and sector-specific responsibilities.
Review approved uses, data handling, human oversight, supplier/model risk, policies, staff guidance and decision-making controls.
Map repetitive administrative work across finance, HR, admissions, communications, reporting and operational workflows to identify safe automation opportunities.
Assess systems, duplication, reporting, handoffs, data quality, process friction and opportunities to simplify the technology estate.
Support school business leaders and MAT executives with proportionate governance, productivity, process and technology transformation.
Improve administrative and knowledge workflows while respecting safeguarding, accessibility, privacy, procurement and public-sector obligations.
Professional-services transformation, research administration, AI governance, digital operations and knowledge-management support alongside separate academic collaboration routes.
Engagements involving children, students or education records require particular care. We apply data minimisation, role-based access, appropriate DPIA/privacy assessment, human review, safeguarding-aware process design, accessibility and supplier/model scrutiny. We do not encourage schools to place sensitive pupil information into unapproved AI tools or to automate consequential decisions without appropriate oversight.
Universities and researchers can also work with the Raeburn Institute on research, student projects, guest teaching, peer review and knowledge exchange. Academic collaboration is not represented as a formal institutional partnership unless explicitly agreed.
University & academic collaboration