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AI & student data

Last updated 2026-06-08

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At a glance

  • Who uses it: District IT, legal, and DPO reviewers evaluating AmplifyED's AI features for student data exposure.
  • Purpose: Plain-language procurement summary of how AI handles student data — and how your district can opt out.

Summary

AmplifyED uses AI to draft notes, generate case summaries, and propose action plans. AI is opt-in feature surfacing — every AI output is a draft until a human accepts it, and every core workflow works without AI.

Data flow

  1. A facilitator requests an AI draft or summary inside a case.
  2. The relevant case text is sent to AmplifyED's managed AI gateway over TLS.
  3. The gateway calls the underlying model (Google Gemini 3 Flash Preview) in a US region.
  4. The model returns a draft. The draft sits in the UI until the facilitator accepts it.
  5. If accepted, the draft becomes a normal note (visibility rules apply). If discarded, no AI output is retained.

What we do not do

  • No model training. Customer student data is never used to train the underlying AI model. This is contractually enforced with the AI provider.
  • No long-term storage at the model. Inputs and outputs are not retained by the model provider beyond the transient processing window required to return a response.
  • No external sharing. AI requests are not visible to other customers, to AmplifyED platform staff (outside of redacted, aggregated telemetry), or to third parties.
  • No auto-application to records. AI never writes to the case record without a human accept.

Opting out

A district can disable AI org-wide by contacting your account manager. The platform retains every non-AI capability. If your district opts in later, no historical data is reprocessed — AI begins applying only to new requests.

Audit posture

  • The acceptance of an AI draft is audit-logged (note_added with metadata indicating AI origin).
  • Discarded drafts are not retained.
  • Aggregated, non-PII usage telemetry powers the monthly usage display on Administration → Billing.

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FAQ

Can we limit AI to certain roles? AI today is gated by plan, not by role. We are scoping role-level controls for a future release; contact your account manager to influence priority.

Is there a way to test AI on synthetic data first? Yes. We recommend running a 2-week pilot in a non-production org seeded with synthetic students before enabling AI on the live tenant.

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