How we build

AI assists. Humans decide.

Our products use AI to remove repetitive drafting, surface missing information, and improve internal consistency. The AI is a workflow assistant, not a decision-maker. Every output is labeled, reviewable, and editable before it can be used or exported.

Human-in-the-loop

What "AI-assisted" actually means here.

AI-generated content is clearly labeled
Staff review and accept or edit before use
Exports blocked until review is complete
All AI activity is audit-logged
AI usage limits configurable per workspace
Kill switch available at any time
No automated decisions or eligibility conclusions
Human judgment remains the final step
Data protection

Sensitive data is filtered before AI ever sees it.

We run a layered pipeline that processes, scans, and redacts information before any AI assistance occurs.

1

Secure Upload

Documents are stored in private, workspace-scoped buckets with signed-URL-only access. Files are never publicly accessible.

2

Extraction Pipeline

Text is extracted, structured, and classified before any AI contact. Scores, dates, document types, services, and accommodations are organized.

3

PII Detection

A dedicated scan identifies student names, parent names, addresses, IDs, dates of birth, and other identifiable content before processing continues.

4

Redaction Layer

Identifiers are masked before AI sees the content. Names become [STUDENT], districts become [DISTRICT], parents become [PARENT].

5

AI Processing

Only after extraction and PII filtering does AI receive information. It works from normalized, redacted content and structured fields, not raw records.

6

Human Review

All AI output is labeled and held for staff review. Accept, edit, or reject. Exports are blocked until review is complete.

What makes us different

Operator-built. Workflow-first.

  • Built by people with direct domain experience
  • Designed around how staff actually complete work daily
  • Reduces time spent searching, retyping, and reorganizing
  • Improves internal consistency across documents
  • Structured to reduce repetitive manual assembly
  • Modular - adopt what you need, when you need it
  • AI assistance without AI-driven decisions
  • Focused on staff workflow, not compliance storage

Want to see this approach in your workflow?