Sales ×2.5 after rolling out an AI tutor
Tutors at a large online school were drowning in chats while students walked away without answers. An AI tutor, trained on the courses' own content, took over 86% of routine questions and gave the team back time for real work with students.
| Sheet | 3.2 · "Cases" series |
| Project | AI tutor for an online school |
| Industry | Online education |
| By | EDEMIUM |
| Status | Live · evolving |
Where the client started
Where the school lost students
Chat volume grew faster than the tutoring team. Every new cohort of students added hundreds of repetitive lesson questions and stacks of homework to grade — tutors simply could no longer keep up.
A student who asked a question and got no answer quickly lost motivation and left. From there the chain unwound on its own: churn, rising course refunds, a hit to the school's reputation — in a niche where reviews decide everything.
Meanwhile the team spent most of its time on busywork: the same questions over and over, mechanical grading. There was barely any time left for the deep work with students that tutors were hired to do in the first place.
What we built
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01 · KNOWLEDGE BASE
Transcription and model training
Every video lesson is transcribed into text — the course content becomes a knowledge base. An AI model is trained on it: the AI tutor answers from the school's own curriculum, not in generic terms.
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02 · CONTEXT
Student profiles and an in-lesson widget
Each student has a profile: specialization, level, completed lessons, past questions. A chat widget is built right into the lessons: the question is asked where it arises, and the answer factors in the context.
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03 · ESCALATION
Auto-graded homework and new tutor roles
Homework is graded automatically, and complex cases escalate to a human tutor. The team's roles are reorganized: instead of clearing busywork, tutors do deep work with students.
Results in numbers
- Sales
- ×2.5 after rolling out the AI tutor
- Routine questions
- 86% resolved without a tutor
- Homework grading
- ×2 twice as fast
- Tutor busywork
- −42% time spent on repetitive tasks
| Metric | Before | After |
|---|---|---|
| Sales | ×1.0 | ×2.5 |
| Routine student questions | waited on a tutor | 86% resolved without a tutor |
| Homework grading | manual | 2× faster |
| Tutor time on busywork | — | −42% |
| Answering a student | left without answers | a chat widget right in the lesson |
| Complex questions | lost in the chat stream | escalated to a human tutor |
| Tutor roles | clearing busywork | deep work with students |
Timeline and status
The solution is live: the AI tutor answers inside lessons, grades homework, and hands complex cases to human tutors. The team works on deep tasks instead of clearing repetitive questions.
The system evolves along with the school: new courses are transcribed and added to the knowledge base, and the model learns from new materials and student questions.
| Status | Live · solution evolving |
| Coverage | 86% of routine questions — without a tutor |
| Team | Tutors moved to deep-work tasks |
| Exit point | Pilot KPI measured: target met → scale |
I want the same in online education
Start with an automation roadmap: in 14 days we'll show where your school loses students and what eats up your team's time.