AI Intelligence

Ask questions like "Which Year 9 students missed more than 5 days this term?" and get instant, accurate answers from your school data.

See how it works

Generate personalised report card comments from assessment data, learning notes, and student context — reviewed and refined by teachers before publishing.

See how it works

In Assessment & Reporting, AI drafts rubric-aligned feedback and marking guidance from the task you configured — surfaced in a marking queue so teachers accept, edit, or discard every suggestion. Nothing is published to students or parents until a human approves it. The Assessment & Reporting module covers the full grading workflow end to end.

See how it works

Automatically surface unusual patterns in attendance, behaviour, and academic performance so nothing slips through the cracks.

See how it works

Machine learning models identify students at risk of chronic absenteeism weeks before it becomes critical, enabling early intervention.

See how it works

Automatically prepare comprehensive handover briefs for casual relief teachers, including class profiles, medical alerts, and lesson context.

See how it works

AI-powered analysis of incident patterns and language cues to support wellbeing teams with early safeguarding identification.

See how it works

Break language barriers with real-time translation of notices, messages, and communications into 30+ community languages.

See how it works

Auto-generate student summaries for parent-teacher meetings, pulling together attendance, grades, wellbeing, and behavioural data.

See how it works

Generate a concise pastoral briefing from aggregate attendance shape, wellbeing record counts, incident severity tallies, fee pressure, and recent grade averages — counselling notes, medical details, and incident narratives never leave your school boundary.

See how it works

Turn live operational aggregates — attendance today, enrolment pipeline, wellbeing tier counts, and open work orders — into a plain-language executive briefing for leadership.

See how it works

Teaching load heatmaps from homeroom assignments and roster totals — department equity watchlists and rules-based overload flags for leadership planning.

See how it works

Extend beyond on-demand message translation — batch-translate published notices, newsletters, and report content into each family's preferred language with staleness detection when source text changes.

See how it works

Retrieval-augmented generation lets staff query school policies and procedures in natural language, always grounded in your actual documents.

See how it works

Continuous AI analysis of multi-signal data (attendance, incidents, mood check-ins) to maintain live risk tiers for every student.

See how it works

AI-powered moderation screens parent-teacher messages for inappropriate content before delivery, protecting staff and maintaining professional communication.

See how it works

Student data is automatically pseudonymised before any external AI call — names, DOBs, and identifiers never leave your school's boundary.

See how it works

Analyse the tone and sentiment of incoming parent messages to flag urgent concerns and prioritise responses.

See how it works

Full transparency on AI usage per school — model, tokens, cost, and feature — so there are never surprise charges.

See how it works