Dropout early warning
Every Monday, at-risk students get support before it’s too late.
The problem
Dropout is noticed after the student is gone. The signals (low grades, absences, debt) are in the academic system, but nobody cross-checks them in time or alerts the tutor.
The real flow in n8n
Captured from the editor. Click to enlarge.
Step by step
- 1Runs automatically every Monday at 7:00 a.m.
- 2Reads midterm grades, attendance, debt, and work status.
- 3Computes dropout probability with a logistic model.
- 4Keeps only high- and medium-risk students.
- 5 IAAI: writes an empathetic message to the student and a technical note to the tutor.
- 6Sends the emails and logs the intervention.
- 7 IAAI: drafts the weekly report for the dean’s office and posts it on Slack.
Built and tested in self-hosted n8n, with Anthropic Claude. Sensitive decisions go through human approval.
More prototypes from this service
n8n + AI automationAI admissions assistant
Every applicant gets a personalized reply within minutes, and advisors know who to call first.
View prototype
n8n + AI automationIntelligent invoice processing
Invoices are read, validated, and recorded on their own; people only approve exceptions.
View prototype
n8n + AI automationWeekly AI executive report
Every Monday, management gets a clear report: what happened, why, and what to do.
View prototype
n8n + AI automationHelp desk agent with RAG
An agent answers 24/7 from the official rules and escalates to a person when needed.
View prototypeReady to turn your data into smart decisions?
We build this kind of solution with your own data. Let’s start with a free 30-minute call.