AI Transparency
Understanding the AI systems that power your school assessments
Our Commitment to Transparency
SchoolQualityReview.ai uses multiple AI models to analyze your documents and generate assessment reports. We believe you should understand exactly how these systems work, what models we use, and what their capabilities and limitations are.
Below you'll find detailed “model cards” for each AI process in our pipeline, following industry best practices for AI documentation.
Assessment Pipeline Overview
Your documents flow through these stages. For a user-friendly walkthrough, see How It Works.
AI Model Cards
Document Extraction
Multimodal document understanding with vision
Model
Claude Sonnet 4.6
Provider
Anthropic
Extract text and visual content from uploaded documents, including charts, diagrams, tables, and images. The model "sees" the document as a human would, understanding both text and visual elements.
Indicator Assessment
Quality indicator evaluation and evidence extraction
Model
Claude Haiku 4.5
Provider
Anthropic
Evaluate document sections against quality indicators. Determines relevance, extracts supporting evidence quotes, and assigns scores based on alignment with indicator criteria.
Report Generation
Findings synthesis, executive summary, and recommendations
Model
Claude Sonnet 4.6
Provider
Anthropic
Generate the final assessment report including indicator findings, executive summary, and actionable recommendations. Synthesizes all assessment data into coherent, useful narratives.
Voice Transcription
Instant web demo — spoken school name to text
Model
Cloud Speech-to-Text
Provider
Google Cloud
In our instant web demo, a visitor can speak their school's name and city instead of typing a website. This model transcribes that short audio clip to text. Audio is held in memory only for the duration of the request and is never stored.
School Discovery
Instant web demo — name + city to official website
Model
Claude Sonnet 4.6 (web search)
Provider
Anthropic
Resolve a spoken or typed school name and location to the school's official public website, so the demo can analyze the right site. Uses a single Claude call with web search.
Live Web Assessment
Instant web demo — scoring from a public website
Model
Claude Opus 4.7
Provider
Anthropic
Score a school against quality indicators using only its public website, in a single call, with evidence quotes. This powers the ~2-minute instant demo (a preview of the full upload-based assessment).
PII Redaction
Instant web demo — removing personal data before analysis
Model
Cloud Data Loss Prevention (DLP)
Provider
Google Cloud
Redact personally identifiable information (such as names, emails, and phone numbers) from crawled public web content before it is scored or shown, even though the source pages are already public.
Data Handling & Privacy
Your documents are never used to train AI models. All data is encrypted in transit and at rest. Our AI provider (Anthropic) acts as a data processor with SOC 2 Type II compliance. Google Cloud is also a data subprocessor for supporting services such as speech-to-text and PII redaction in our instant web demo.
View full Security & Privacy detailsImportant Disclaimer
AI-generated assessments are tools to support, not replace, professional judgment. Reports are based solely on uploaded documentation, should be reviewed by qualified professionals, and are most valuable as a starting point for improvement planning.
Have questions about our AI systems?
Contact Us