01
Pilot a focused cohort
Start with one school or selected staff group and agree what the pilot will test.
Schools and MATs overviewGDPR Safe Mode: enabled by default
Move from fragmented AI use to a coordinated MAT approach
Pilot practical staff workflows, gather evidence and build a more consistent route to responsible adoption across schools.
GDPR Safe Mode: enabled by default
Privacy built for education
Consistent privacy protection across every school
Give staff the same default protection across your MAT, without relying on every user to remove names or change privacy settings manually.
- Enabled by default for every user
- Provider storage disabled where supported
- Temporary provider files deleted where supported
- Pupil and school data is not used to train RockettAI models
What happens before and after AI processing
- 01
Detect and replace
RockettAI identifies supported personal details and replaces detected information with neutral placeholders.
- 02
Generate without identifiers
The AI provider receives the working context with those original personal details removed.
- 03
Restore for the user
After the response returns, RockettAI restores the original details in the authorised user’s output.
RockettAI restores the details after generation. The AI provider does not need the original identifiers to return a usable draft.
Why RockettAI
A practical route from individual use to shared practice
Focus on the recurring work staff need to complete, with a platform designed around school workflows.
Shared approach
Give schools a common platform and clearer expectations.
Less fragmentation
Reduce disconnected tools and uneven individual adoption.
Responsible rollout
Support policy-aware use with professional review built in.
Evidence to scale
Use pilot feedback and usage to inform the next decision.
What it supports
Create consistency without ignoring school context
A shared platform can support trust expectations while leaving staff responsible for adapting outputs to their pupils and setting.
- A consistent staff workspace
- Phased pilot and onboarding
- Practical workload reduction
- Responsible use expectations
- Usage insight for leaders
- Scalable school access
A phased rollout
Start focused, learn and expand with purpose
02
Gather useful evidence
Review uptake, time saved, output quality and the support staff needed.
03
Plan the next phase
Expand, refine or pause using evidence from real school workflows.
Planning a wider introduction? Use the school and MAT rollout checklist and our responsible-AI guidance to support staff confidence and clear review expectations.
Explore a focused MAT pilot
Tell us about your schools, staff cohort and the outcomes you want to test.