Detect dropout before it happens. Act with precision.

AI-powered retention platform that identifies at-risk students, automates interventions, and connects student success to financial impact — for institutions that need to retain more with lean teams.

Dashboard
High Risk
47
Medium Risk
128
Low Risk
325

At-Risk Students

Name Program Risk Last Action
MS

Maria Silva

Civil Eng...
High
Email sent ...
JS

João Santos

Business
Medium
WhatsApp scheduled
AC

Ana Costa

Education
Medium
Coordinator notified...
Projected Dropout
Jan Mar May Jul

Why retention teams choose eLabi

See how the platform solves the pain points of teams that still rely on spreadsheets, generic BI, or reactive processes.

✕ You use today

Spreadsheets + LMS reports

⚠ The problem

Outdated data with no prioritization of who needs help first

✓ With eLabi

AI trained on your institution’s data automatically prioritizes by risk and impact

✕ You use today

Generic BI tools

⚠ The problem

Shows numbers but doesn’t tell you what to do or track execution

✓ With eLabi

Actionable playbooks with audit trails and effectiveness tracking

✕ You use today

Generic CRM/CS

⚠ The problem

Good for sales, weak for academic context and learning signals

✓ With eLabi

Moodle integration captures real signals (logins, submissions, grades)

✕ You use today

Hiring more staff to “keep up”

⚠ The problem

More people without data = scattered effort and low impact per student

✓ With eLabi

Lean teams act with precision: where, when, and how to intervene

Book a Demo

How eLabi works differently

We’re not just another tool. See the advantages only eLabi delivers:

🎯

AI model trained on your institution’s data

Dropout prediction calibrated with real signals

We don’t use generic models. eLabi calibrates predictive algorithms with YOUR Moodle and SIS behavioral history: who dropped out before, when, and with which signals. The result? Early detection with actionable explainability — you know not only who is at risk, but why and what to do.

Automatic prioritization by dropout probability + financial impact
MS
Maria Silva
Civil Engineering • 4th term
High Risk
Dropout Risk
High (78%)
Identified Risk Factors
  • 📉Low Moodle activity (3 logins last 7 days)
  • 📊Below-average grade (5.2/10)
  • 🎯Missed the last 3 assignments
  • ⚠️At risk in 2 courses

Orchestrate the right actions at the right time — with evidence

Automated interventions via playbooks

Playbooks combine deterministic rules and AI to execute multichannel interventions (email, WhatsApp, SMS, coordinator alerts). Every action is logged in a complete audit trail: what was done, when, why, and with what result. Compliance assured, continuous improvement enabled.

Proactive communication without manual work
Evidence for quality and regulatory reports
Playbook: High-Risk Intervention
🚨 High-risk student detected
AI analysis — Actions triggered
✉️ Motivational email sent
💬 WhatsApp to coordinator
📅 Follow-up scheduled in 7 days
📋 Case created • SLA: 48h
📋

Case queue, owners, SLAs — full control

Operational retention management with clear priorities

Turn alerts into organized action. eLabi creates retention cases with prioritized queues, assigns owners, sets next steps and deadlines (SLAs), and centralizes student history. Coordinators and tutors know exactly where to focus, with effectiveness measured by cohort.

Lean teams act with surgical precision
Visibility into what’s being done and what works
📋 Retention Case Management
12 active cases
New 4
In Progress 3
Resolved 5
MS
Maria Silva
High Prof. João
Due in 2 days
PL
Pedro Lima
High Coord. Ana
Due today
JS
João Santos
Medium Prof. Carlos
In follow-up
AC
Ana Costa
Medium Mentor Marta
Follow-up tomorrow
LO
Lucas Oliveira
Low Prof. João
Closed 3 days ago
JF
Julia Ferreira
Low Coord. Ana
Closed 1 week ago
💰

Decisions based on financial impact, not intuition

Dashboards with projected loss and ROI

See concrete scenarios: “if we don’t act, how much revenue will we lose?”. Dashboards connect cohort/program dropout to projected tuition loss. Leadership can prioritize retention investments with clear ROI.

Business case for leadership to approve retention actions
Prioritization by financial return, not gut feeling
Executive Dashboard Next semester
Revenue at risk

R$ 2.4M

Civil Engineering
Business
Education
Law
No action -R$ 2.4M
Basic intervention -R$ 1.6M
With eLabi -R$ 800K

From detection to action: how it works in practice

1

Connect your data

Fast integration with Moodle and SIS

2

AI calibrates the model

Algorithms learn from your history

3

Early detection

Risk recalculated daily

4

Playbooks run

Automated interventions

5

Case management

Organized queue + measurement

Works for public and private — with the same execution engine

Whether to reduce dropout with direct revenue impact or strengthen academic indicators with evidence, eLabi delivers what matters: early detection + structured actions + rigorous measurement.

PRIVATE INSTITUTIONS

Retention with predictability and ROI

💰

Dropout impacts revenue directly

Online and hybrid programs with 20–35% dropout: each retained student is recurring tuition and recovered CAC.

Lean teams need efficiency

Overloaded coordinators can’t keep “putting out fires.” They need to prioritize effort where it has the most impact.

📊

Leadership requires proven ROI

Owners and CFOs need a clear connection between retention actions and financial results.

Ideal profile: Private institutions with 1,000+ students, online/hybrid programs, dropout above 20%, and a need to scale retention without doubling the team.

PUBLIC INSTITUTIONS

Retention and success with evidence and governance

📈

Academic indicators under pressure

Retention and success impact institutional planning and guide resource and policy prioritization.

🎯

Scattered actions without measurement

Student support runs programs without knowing what works by profile, program, and term. Evidence is missing for decisions.

🔍

Accountability is mandatory

Leadership must track decisions, justify resource allocation, and demonstrate impact transparently.

Ideal profile: Federal/state universities with multiple campuses, programs with high dropout, and a need for governance and evidence in retention policies.

💡

Why does the same platform work for different contexts?

Because the operational problem is the same: identify risk too late, act reactively, and not know what works. The vocabulary changes: private institutions talk about “retained revenue,” public ones about “academic indicators and accountability.” eLabi delivers both — with the same detection, execution, and measurement engine.

Frequently Asked Questions

Every student who drops out is lost revenue and social impact.

Choose how you want to start:

✓ IFES pilot in progress ✓ Native Moodle integration ✓ Implementation in 2–4 weeks