Protect IT Schools from Placement-Guarantee Refunds

The problem

Every unmotivated student is a direct loss

When your business model is a placement guarantee, an income-share agreement, or pay-after-employment, a student who sabotages their own job search hits you three ways at once.

💸

Refunds and payouts

If a graduate never lands a job, you owe a course refund or never collect the income share. That is several times more expensive than getting a whole cohort offer-ready. We work out the exact economics for your model on a call.

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Career team overload

Deep prep for a specific stack and mock interviews for a specific role is the most manual, least scalable work a curator does. On a large cohort, that time is spread thin across everyone.

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Placement rate drops

Your "% placed" metric is the main argument when selling the next cohort. Every student who quietly stops trying drags that number — and your sales — down.

How it works

A seat package, and an AI trainer for every student

The school buys a package of seats (vouchers) for a cohort. Each student gets a full AI job-prep toolkit aimed at one thing — a real offer.

1

Buy a seat package

A package is a number of seats for a set period — for example, a whole cohort for 12 weeks, or 5 seats for a 2-week sprint before interviews. You pay only for what you use.

2

Hand seats to students

A student opens an invite link and activates full access. The AI trains them on technical mock interviews with a breakdown of every answer, and works out which skills are missing for a specific job — then closes those gaps with targeted learning.

3

Students reach offer-ready

Each student also gets an AI career consultant, personalized courses, a job tracker, and a glossary. When the period ends, the seat frees up for the next student.

The core value

The admin panel: a readiness traffic light

For every student you see a simple status — ready, in progress, or at risk. That one view does three jobs for you.

⏱️

Save curator time

The red zone is visible instantly — students who skip mock interviews and don't save vacancies. Your curator steps in only where it actually matters, instead of leading everyone by hand.

🛡️

Protect your revenue

Evidence for your school's support team and lawyers. If a student demands a refund, you have an export of their activity — an objective argument in a dispute over the terms.

📊

A ready placement metric

Cohort activity and offer rate are tracked for you — a ready "% placed" figure and market intel you can use as the main marketing argument for the next cohort.

Student privacy

You see activity, not content

The school sees activity counters and a readiness verdict — never the content itself.

The school sees

Activity counters: mock interviews taken, courses in progress, vacancies saved
Readiness status for each student — ready, in progress, at risk
Cohort-level dynamics and offer rate

The school never sees

AI consultant chats and conversation content
Answers given in mock interviews
Which specific vacancies and which resume the student is working on

The student is not under surveillance, so they prepare honestly — and the school takes on no extra responsibility for personal data. After the package access ends, the account stays with the student.

Pilot

No case studies yet — so we start small

We don't have any school clients yet — and we won't invent them. No borrowed logos, no numbers pulled out of thin air.

So we're offering a free trial: 10 seats for a month, on us. Before we start, we agree together on the result that tells us it worked. If it does, we keep going. If not, we part ways and you've lost nothing.

Protecting IT schools from refunds on placement guarantees

Every unmotivated student is a direct loss

A seat package, and an AI trainer for every student

The admin panel: a readiness traffic light

You see activity, not content

No case studies yet — so we start small