AI adopted with governance, not hype.
Generative AI is already in your classrooms, your back office and your students' pockets. We help providers govern it deliberately - policy, risk, approval pathways and board oversight - so adoption is an institutional decision, not an accident.
AI Governance, as we practise it.
- Institutional AI policy - position, permissions and boundaries for staff and students
- AI risk assessment across teaching, assessment, admissions and operations
- Approval pathways for new AI tools and uses, proportionate to risk
- Academic governance of AI - keeping boards sighted and accountable
- Vendor and model due diligence - data handling, transparency, exit
- Staff and student guidance that people can actually follow
Three moves, in order.
Position
We help the institution decide what AI is for - and write the policy position leadership will stand behind.
Control
Risk assessment and approval pathways sized to your context, from pilot to enterprise adoption.
Oversee
Reporting and review cycles that keep academic boards genuinely across AI use, not rubber-stamping it.
Deliverables you can put in front of a board.
AI governance framework
Policy, risk taxonomy, approval workflow and oversight model in one coherent package.
Discuss this Data & AIAI use review
An audit of where AI is already used across the provider - sanctioned and unsanctioned - with risk ratings.
Discuss this Data & AIBoard briefing pack
Plain-English briefings that equip governing and academic boards to oversee AI with confidence.
Discuss thisPut ai governance on the roadmap.
Tell us where you are and where the institution needs to be - we will bring the map.