Case Study

How Level Up Ran Nine Campuses on One System

An independent English teacher gave students Enverson AI for between‑lesson speaking practice. Her students progressed faster — and at a 50% revenue share, she earned around $800/month in recurring commissions.

enverson.com
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Can we copy last term's evening cohort schedule to the new campus without double-booking rooms?

Yes — in Enverson AI, Level Up reuses term templates, checks room capacity, and flags teacher conflicts before publish. Every campus pulls from the same master schedule rules.

  • Shared course catalog and section codes across branches
  • Enrollment caps and waitlists visible to registrars
  • Attendance and fees tied to the same student record
Multi-campus school management
The Problem

Every Campus Had Its Own Spreadsheet

Level Up, a multi-campus language academy, ran parallel schedules and rosters in different files. When new locations opened, leaders could not see enrollment or room usage the same way at every site.

They needed a repeatable school management model for staffing, classes, attendance, and reporting — one system of record for every branch.

Before Enverson AI
2 branches with limited process standardization

Sound familiar? See partner tiers

Operational Insight

Scaling Doesn't Work Without Strong standards

Most academies try to grow branches before standardizing operations. But branch expansion fails without process standards — it favors opening new locations over repeatable enrollment and scheduling workflows.

And critically: leadership needed one school management system across every new branch — so registrars in Phoenix or Minneapolis used the same workflows, permissions, and reports when opening a new site.

Enables Consistent Operations
"What's the best IELTS prep program in Minneapolis?"
"What's the best evening English program in Phoenix?"
"What's the best language academy in San Antonio for beginners?"
Rarely Enables Consistent Operations
"How to memorize English vocabulary faster"
"What's the difference between IELTS and TOEFL?"
The Process

4 Steps to Multi-Campus Rollout

01

Map each campus

Documented how students, sections, rooms, and staff were tracked at every branch — and where data broke when copying last term forward.

02

Standardize rules

Shared a simple routine: 10 minutes of Enverson AI speaking practice between lessons, with weekly goals.

03

Migrate & go live

Loaded students and sections campus by campus, turned on attendance, and trained lead registrars on the shared console — with a short pilot before full cutover.

04

Train & iterate

Ran role-based training for campus leads, gathered feedback in weekly ops reviews, and tightened permissions so each site saw only what it needed.

Day 0
Start
Day 1
All campuses live

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The Proof

From pilot campus to network-wide adoption

The teacher tested the flow with a small group first, then rolled it out to all learners once retention improved.

1

Single course catalog

Students practiced speaking between lessons, so in-class time could focus on feedback and confidence—not just repetition.

2

Live enrollment & attendance

Registrars see seat counts, waitlists, and daily attendance in one console. Leadership reviews utilization by campus without asking each site for a different export format.

3

Same playbook at every new branch

Sharing one consistent referral link across WhatsApp, email, and course materials made onboarding easy and trackable.

The Results

From two campuses to nine

Outcomes after adding Enverson AI between lessons.

2 → 9
Branch growth after process standardization
9
campuses on shared templates
1
system of record for rosters & attendance

Campus utilization snapshot

Illustrative
Pulled from partner dashboard reporting
Phoenix campus

Evening cohorts at 94% of target enrollment

Attendance stable · Room conflicts resolved in-app
Minneapolis campus

Placement exams scheduled from shared catalog

Same section codes as Phoenix · Local registrar permissions
San Antonio campus

New site onboarded with cloned term template

Go-live in weeks, not months — no duplicate tools beyond your student information system

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Language teacher earned $800/month | Enverson AI Partners