IEP drafting and accommodation AI —
consent is a vector, not a scalar
FERPA, COPPA, and IDEA each treat student data differently — and the FTC’s COPPA Rule update raises the bar again across AI training, targeted advertising, third-party disclosures, and data retention. The education vertical needs IEP drafting and accommodation AI without violating any of the three, with a consent model granular enough to respect parental decisions per-record, per-use, per-dimension.
Educators want AI to draft IEPs — counsel sees three overlapping statutes
An IEP draft would help an overloaded special-education team enormously — but it requires reading the student’s educational record (FERPA-protected), their documented disability and accommodations (IDEA-governed), and, for students under 13, their data under the FTC COPPA Rule and its update covering AI training, targeted advertising, third-party disclosure, and retention. The intersection is where most education-AI products stall: a tool that handles one statute almost always violates another. Parents’ consent posture varies per student, per record, per use — a single "opt-in" checkbox can’t carry that complexity.
A consent vector designed to carry three statutes’ worth of decisions
VeilEngine’s education vertical pack is designed to represent parental and educational consent as a vector, not a scalar. Each student record carries a multi-dimensional consent state: AI-touched processing (yes/no), AI-training use (yes/no per the FTC COPPA Rule update), targeted-advertising use (yes/no), third-party disclosure (yes/no), accommodation-suggestion disclosure (yes/no per IDEA), and FERPA directory-information overlay. The design intent is that the protection boundary respects each dimension per request and that the signed receipt records which consent state was applied. (Vertical pack and consent-vector enforcement are configured per engagement; the present gateway provides the signed-receipt evidence layer over generic data-class tokenization.)
- Consent vector, not scalar — designed as per-record, per-dimension, with timestamped parental decision history (configured per engagement)
- FTC COPPA Rule update — designed so AI-training, targeted advertising, third-party disclosure, and retention each carry their own consent dimension
- FERPA-aligned directory information separated from accommodation specifics at the boundary
- IDEA-aligned IEP outputs include the accommodation-disclosure footprint required by the statute
Workflows your CIO and Special Education Director sign off on together
IEP first-pass drafting
Initial IEP goals + accommodations drafted from student educational record + documented disability. Educator reviews and finalizes. Tier 1.
Accommodation suggestion
Classroom-modification suggestions tailored to documented disability and grade level. IDEA-aligned disclosure footprint included.
Title IX response support
Investigator-facing analysis of incident reports with student PII tokenized at the gateway boundary. Each request produces a signed receipt of what was protected and which workflow ran.
Parent-communication drafting
Multi-lingual, accommodation-aware parent communications. Designed to respect the per-parent consent vector on AI-touched outreach.
Lesson-plan generation
Differentiated lesson plans respecting class-level accommodations. Lower sensitivity workflow; can route to GPT for cost.
Custom workflow
Bring the FERPA-bound workflow your CIO has blocked. We scope during the regulatory audit.
Education AI governance, answered
Bring the IEP workflow your CIO has blocked
We start with a discovery regulatory audit alongside your CIO, Special Education Director, and CPO. You receive a preliminary exposure map and a consent-vector deployment plan as the diagnostic deliverable — yours to keep regardless of next steps.