Available
Safeguarding Alerts
Flagged for you, automatically.
Harassment, bullying and signs of distress often go unnoticed, because nobody can review every lesson. Safeguarding Alerts use AI to review speech, chat and direct messages after each lesson, and alert your team.
A tutor says something inappropriate in a private message, and nobody would ever know. AI reviews speech, chat and DMs after each lesson and opens an alert.
Bullying in the chat or in DMs happens out of the teacher’s sight. AI reviews every class’s speech and messages and alerts your team.
Harassment in training chats is a risk your HR team needs to see. AI reviews speech and messages after each training and flags concerns.
For lessons run in Spaces, AI reviews what was said and typed after each lesson, so bullying or distress doesn’t go unnoticed.
For workshops run in Spaces, AI reviews chat and messages afterward and flags harassment or privacy concerns.
If something inappropriate is said to your child in a lesson or a message, AI flags it to the program’s team after the lesson.
どの有料プランでも2週間無料でお試しいただけます。クレジットカードは不要です。
What it solves
- No evidence when a complaint comes in
- Signs of harm or distress go unnoticed
- Strangers or bullies in the lesson
Helps you
Save time
Part of
Safety
The problem
Signs of harm go unnoticed
Inappropriate language, harassment and signs of distress happen in speech, chat and private messages. No team can review every lesson, so they surface late or never.
一般的な方法
Programs wait for a student or parent to report a problem, then try to piece together what happened.
How Pencil Spaces solves it
After the lesson, AI reviews spoken audio, the public chat and direct messages for inappropriate language, harassment, and safety or privacy concerns. Each issue opens with a priority, an assignee, the host and the student, ready to resolve.
変更点
Concerns are caught and handled, with a record of what happened.
What it looks like
実際には
After a lesson, AI flags a direct message for inappropriate language. The issue opens with a priority, an assignee, the host and the student, and the safeguarding lead resolves it.
In a 1:1 lesson
An alert flags a tutor’s message to a student. Your safeguarding lead reviews it the same evening.
In a group class
AI flags a cruel comment in a class chat. You speak with both students the next day.
In a virtual training
A harassment flag from a training chat goes straight to HR with the details.
In your classroom
AI flags a student’s message expressing distress after an online lesson, and the counselor follows up.
In the training room
A privacy concern in a workshop chat is flagged and assigned to the right person.
At home
Something unkind is said to your son in an online class. The program sees the alert and contacts you.
