A public assistant on a school website will, sooner or later, meet a child or a parent in distress. The dangerous response is a chatbot that tries to help. Veaivo Ask recognises those moments, grades them, and hands them to a human, every time, with a record you can stand behind.
Every message passes two independent checks before the assistant is allowed to answer. The part that holds a normal conversation is not the part that decides whether a message is safe.
The instant a message arrives, and before any reply is composed, it is screened for the indicators of distress, disclosure and risk, including the signs that fall under your Prevent duty. Indirect and coded language is read for what it means, not just the words used.
A second AI model, with no memory of the conversation and no ability to reply, independently grades the message for risk. Its only job is to classify, never to respond.
Not every concern is an emergency, but none should be ignored. When the system is unsure, it always treats a message as the more serious of the two.
A message that points to harm, abuse, danger or an emergency. The assistant does not advise, counsel or reassure. It shows one calm, fixed holding message, and nothing more.
Lower level signals such as low mood, exam pressure or homesickness, where a warm reply is appropriate but a person should still know.
The two layer check grades the message, separately from the assistant that answers ordinary questions.
Red shows the fixed holding message and stops. Amber replies with care and points to a person. Either way, a concern is raised.
Sent two ways at once, to your safeguarding inbox and by SMS or push to the on call lead. On every plan, so it never waits for office hours.
Every flagged conversation is recorded and timestamped, giving your safeguarding team a clear, auditable trail.
Red or amber, so the lead knows the urgency before reading a word.
Exactly when the concern was raised, to the minute.
The message that prompted the flag, and the conversation leading up to it.
Any name or contact the person chose to leave, if they left one.
A private link to the full record, never sent in plain text in the alert itself.
Inbox and SMS or push together, with auto escalation to the Head if a red goes unacknowledged out of hours.
It does not offer mental health advice, coping strategies or therapy. Warmth is not the same as counselling, and it always hands the moment to a trained person.
It always makes clear it is an AI assistant, not a member of staff. That honesty matters most for children, and being plainly recognisable as a machine is part of designing to the Children's Code.
When a message is graded red, the wording is fixed. The model cannot freelance its way into causing harm.
Nothing flagged is quietly dropped. Every red and amber concern reaches your DSL and is logged, with no exceptions.
We would rather tell you plainly what this is. The assistant is very good at noticing the moment a conversation turns serious and handing it to a person quickly. It does not know the child, it does not hold the context a form tutor holds, and it does not replace pastoral care.
It is one more set of eyes on the digital front door of your school, working alongside the people who keep children safe, never instead of them. We think being candid about that is what makes it trustworthy.
The grading, escalation and logging behaviour is mapped against Keeping Children Safe in Education, and the assistant is built to the ICO Age Appropriate Design Code, because most of the people using it are families. Our safeguarding advisor, a DSL and former Deputy Head, reviews the playbook, and it is written into the documentation in your Trust Centre.
Your safeguarding duty does not stop at the website, and an inspector knows it. Every flagged conversation is graded, routed two ways, and logged with a timestamp, so you can show a clear trail of how a concern was recognised and who acted on it. The evidence is there before anyone asks for it.
Tell us about your school and we will come back to you within one working day.