Mask sensitive personal data before AI analyzes your documents

Documents are scanned for personal data, masked before AI reads them, and logged for compliance.

How the work actually flows

A straight line.

Pattern: Sequence (1) ยท Transient Trigger (23)

flowchart TD trig>"document uploaded through intake"]:::trig s0["scan document for personal data"]:::task s1[("mask data and store originals")]:::store s2["send masked document to ai"]:::svc s3["restore original values"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"ai analysis with data protected"/]:::out pay{{"safe ai use under compliance rules"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsDocument Processing & OCRSpreadsheet & Database OpsSecurity & Compliance
Connects
PostgreSQLClaude

The problem it solves

You want to use AI to process documents like contracts or forms, but they're full of names, emails, and ID numbers you're not supposed to expose to an outside system. Making sure sensitive data never leaves your control usually means either skipping AI entirely or doing risky manual redaction.

Who it fits

Businesses in regulated industries handling documents with personal data under GDPR.

How it works

  1. A document is uploaded through a secure intake
  2. The system scans the text and detects emails, phone numbers, ID numbers, and addresses
  3. Detected personal data is replaced with secure tokens and the originals are stored in a locked vault
  4. The masked document is checked and then sent for AI analysis
  5. Original values are restored only where permitted, and every step is logged for compliance
What you get

Personal data exposures you never have to explain

Sensitive personal details in your documents get masked automatically before any AI ever sees them, keeping you compliant.

What you get

An AI analysis of your document with sensitive data protected throughout, plus a full compliance audit log.

What you need

A PostgreSQL database and an Anthropic Claude API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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