Your AI review is missing half the picture
Most schools evaluate AI one response at a time. LittleShield evaluates what happens when students use these tools every day — the repeated interaction patterns that shape wellbeing over time, and that standard reviews never see.
Student reliance dynamics
Whether AI use patterns support healthy, independent learning.
Developmental appropriateness
Whether AI responses are calibrated to student age and context
Repeated interaction patterns
How student engagement with AI evolves across multiple sessions.
Longitudinal trajectory trends
How interaction dynamics evolve across weeks of student use.
What standard AI review doesn't cover
Schools have done the right work on content filtering, privacy, and policy compliance. But one layer of evaluation is consistently missing.
Purpose-Built for Child Safety
Built for Child Safety
Standard AI Evaluation Covers
LittleShield AI
Content filtering and moderation
Repeated interaction dynamics across sessions
Privacy and data compliance
Student reliance patterns over time
Accuracy of individual responses
Emotional interaction posture under stress
Policy alignment and terms of use
Developmental appropriateness across scenarios
Single-session interaction review
Longitudinal trajectory health scoring
where are you in your AI journey?
Whether you're evaluating tools already in use or assessing systems before deployment — there's a structured evaluation designed for where you are.
2–4 weeks
Existing tools
Wellbeing report
Leadership brief
Offer 01
Student Wellbeing AI Review
An evidence-based review of how AI systems your students are already using perform across repeated, real-world interactions. Understand interaction patterns before they become a wellbeing concern.
Ideal for: schools with active AI implementations · wellbeing and safeguarding teams · schools preparing family or board communications
Book a Consultation

Pre-deployment
Vendor comparison
Deployment brief
Board-ready
Offer 02
AI Readiness & Pre-Deployment Evaluation
A structured developmental safety assessment for schools evaluating AI systems before large-scale student adoption. Get the longitudinal interaction evidence you need to deploy with confidence.
Ideal for: schools piloting new AI tools · district procurement teams · innovation directors · heads of school considering school-wide AI rollouts
Book a Consultation
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From conversation to clear evidence
A structured four-stage process that fits into your existing AI governance workflow.
Longitudinal interaction evaluation
Using ANCHR — our developmental safety evaluation framework — we run structured interaction trajectories across real-world student scenarios.
Report & recommendations
You receive a structured findings report, implementation recommendations, and a leadership-ready summary for board, parent, or district communication.
Kickoff & system mapping
We review the AI systems in scope, your current use context, and define the evaluation scenarios relevant to your student population.
Trajectory analysis & findings
We analyse how interaction dynamics evolve across sessions, identifying patterns that affect student reliance, emotional posture, and developmental alignment.
Built for school leaders navigating AI adoption
LittleShield works with the people responsible for responsible AI implementation in school environments.
Heads of school & principals
Demonstrate responsible AI leadership and communicate confidently to families and boards about how AI is evaluated and managed.
Innovation & technology directors
Get structured longitudinal safety evidence before committing to a platform — and during pilots to monitor how interaction dynamics evolve at scale.
Wellbeing & safeguarding leads
Understand how AI tools perform during moments of student stress, frustration, and help-seeking — and what that means for student wellbeing over time.
CIO & procurement teams
Add a developmental safety layer to procurement for AI tools with conversational or emotional engagement features.
District AI working groups
Build evidence-based AI governance frameworks informed by longitudinal interaction data — not just vendor claims or isolated output reviews.
International & independent schools
Particularly suited to schools with multicultural student populations, strong wellbeing infrastructure, and forward-thinking AI adoption programmes.
Understand how your AI behaves over time
A confidential exploratory conversation — no commitment required. We'll discuss your current AI tools, student context, and which evaluation approach fits your needs.