AI for schools, MATs and training providers: protect teaching time, personalise learning, lift outcomes.
Education leaders are asked to lift outcomes while teacher workload climbs. We design AI systems that take marking, admin and reporting off teachers and give learners genuinely personalised support.
Common Challenges
- Teacher workload — marking, planning, reports — driving attrition
- Personalised intervention impossible at class scale
- Parent communications inconsistent and time-consuming
- Funding bid and Ofsted / inspection evidence scattered across systems
- Learner data trapped in SIMS / Arbor / Bromcom and rarely actioned
- Apprenticeship and ESFA evidencing burden for training providers
AI Opportunities
AI marking assistant
High impactDrafts feedback against the mark scheme; teacher approves with one click.
Adaptive learning agent
High impactGenerates targeted practice for each learner from their gap analysis.
Parent communications agent
Personalised progress updates drafted from MIS data, approved by tutor.
Intervention triage
High impactFlags at-risk learners daily with the next-best action.
Lesson planning copilot
Curriculum-aligned plans with adaptations for SEND learners.
Example AI Agents
Marking & Feedback Agent
Drafts written feedback against the rubric for the teacher to approve.
Intervention Agent
Reads MIS data overnight; surfaces a daily watchlist with concrete actions.
Parent Update Agent
Composes personalised half-termly updates per learner from attendance, behaviour and progress data.
Funding & Compliance Agent
Assembles bid and inspection evidence from across SIMS / Arbor / SharePoint.
Automation Opportunities
Expected ROI
Across KS3/KS4 written subjects with rubric-graded work.
Per pastoral lead, week on week.
On personalised vs templated comms.
Technology Stack
Case Study Examples
Marking agent integrated with Google Classroom and SIMS.
Evidence agent integrated with OneFile.
Products we've built for this sector
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