Online education providers supporting vulnerable children have a critical responsibility to ensure safe and supportive learning environments. Safeguarding teams often rely on manual review of recorded classes, chats, and interactions, which is time-consuming and limits how quickly potential concerns can be identified.
This use case enables continuous analysis of virtual classroom interactions to highlight potential safeguarding risks that require human review. Signals from recorded lessons, audio discussions, and text-based chat help teams focus attention where it is most needed.
By reducing reliance on manual monitoring alone, organisations can improve response times, scale safeguarding efforts responsibly, and better protect learners while maintaining a positive online learning experience.
Key Features
- Review virtual classroom interactions to highlight potential safeguarding concerns
- Surface risk indicators from lesson recordings and class communications
- Prioritise cases that require human intervention and follow-up
- Reduce manual review workload for safeguarding teams
- Support consistent safeguarding standards across all classes
- Improve visibility into learner wellbeing in online environments
