Attendance
Attendance Settings
The thresholds, review windows and autonomy settings that define the alerting logic behind the attendance module.
Target
School benchmark
Open alerts
Current threshold breaches
Autonomy
Human approval required for action
Thresholds and governance
These rules are explicit, versioned and visible to the people who own attendance decisions.
Attendance target
92%
School-wide threshold used for benchmark tracking
Attention threshold
85%
Students or classes below this level are flagged for attention
Critical threshold
80%
Escalated severity for extreme shortfall
Consecutive absence trigger
3 days
Opens a case when absences persist
Review window
7 days
Time window used for pattern detection
Autonomy level
Assist
AI may draft but not decide consequential actions
AI governance in this module
Nothing below the analytics tier executes without an authorised human decision, and consequential decisions are never initiated by the intelligence layer.
Runs automatically
Thresholds are explicit parameters, not hidden constants. Any rule change is auditable and the alerting model reflects it immediately.
Requires authorisation
AI can prepare a draft or summary from a threshold change, but it does not enact an escalation or disciplinary action.
Human decision only
Only a named human can confirm a consequential decision, including communication release, sanctioning and escalation.