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Regulated Document Safety Workflow
A local-first proof workflow for preparing sensitive PDFs before review, sharing, or AI-assisted analysis.
Synthetic public view Document safety workflow
Detect fields
Apply redaction
Verify text layer
Human review
Fake PII onlyLocal-firstLimitations noted
review before sharing
verify removal
Problem
Sensitive documents are easy to mishandle when teams need to share, summarize, or analyze them quickly.
What I Designed
Defined a local review workflow that separates detection, redaction, verification, and human approval using synthetic test documents.
Validation
Focused on proof that hidden text is removed, not just visually covered. The public demo avoids compliance claims and uses fake data only.
Adoption Fit
Useful for healthcare AI and regulated operations teams that need practical safeguards before AI-enabled document work.
Positioning note
This work is framed as AI-assisted implementation. My ownership is problem definition, workflow design, evaluation criteria, validation, rollout, user feedback, and adoption. Coding-heavy pieces were built with AI coding assistance.