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Solutions/At-Risk Early-Warning
ResultsLane 03 · Teaching & results

At-Risk Early-Warning

Spots a student slipping before it shows in the report card — and tells the mentor exactly why, with a suggested action and an owner. Explainable drivers, never a black box.

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By the time a grade drops, the slide started weeks earlier. This watches attendance, marks and engagement together, flags early, and explains the 'why' so someone can act.

How it works

1
Watches the signals togetherAttendance, marks trend and engagement — combined, not in silos.
2
Flags & explainsSurfaces at-risk students with the specific drivers behind the flag.
3
Assigns a next stepSuggests an action and an owner; outcomes feed back to improve it.

What you get

Intervene weeks earlier, not after the fact
Clear reasons, not a mysterious score
Every flag has an owner and an action
app.scolit.ai/teaching/early-warning
Grade 9 · Coordinator view
42
Flagged
7
Critical
31
Open
StudentRiskSuggested action
A. SharmaHIGHAttendance 72% · Maths −2 grades → mentor call
R. IyerHIGHSudden Science drop → counsellor check-in
P. KhanMEDPost-exam dip → parent note + study plan

Concept preview — illustrative of how results appear in-platform.

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OSM Readiness EngineTeacher Lesson & Content Co-pilotAuto-Grading & FeedbackAdaptive Practice & Gap DiagnosticsView all solutions →

Built on the same secure foundation. Runs read-only inside your own cloud, with role-based access, pseudonymisation and DPDP-grade consent — student data never leaves your tenant.

Let's pilot it

See At-Risk Early-Warning on your own data.

One campus, read-only, six weeks. We'll bring it live in your cloud and let the results make the case.

Book a six-week pilot