Screen chat messages for sensitive data before they reach an AI

Incoming chat messages are checked for personal or sensitive data and routed through extra safeguards before any AI sees them.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"chat message or webhook received"]:::trig s0["scan message for sensitive data"]:::task s1["score risk and log for audit"]:::task s2["generate response"]:::task trig --> s0 s0 --> s1 gx{"× does message contain sensitive data"}:::gate s1 --> gx p00["sanitize and route to secure model"]:::task gx -->|"sensitive content found"| p00 p10["use standard model"]:::task gx -->|"no sensitive content"| p10 jn{"○ generate response"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"risk scored and logged response"/]:::out pay{{"keep sensitive data away from AI"}}:::pay s2 --> 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 stepOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsSecurity & Compliance
Connects
OpenAIOpenRouterOllama

The problem it solves

You want to use AI assistants for customer or employee conversations, but you're worried that account numbers, medical details, or other personal data will get sent to an outside AI provider and create a compliance problem. Reviewing every conversation by hand isn't realistic.

Who it fits

Businesses in regulated industries like healthcare, finance, or legal that want to use AI chat safely.

How it works

  1. A chat message or webhook request comes in
  2. System scans the text for sensitive or personal data
  3. Message is scored for risk and logged for audit purposes
  4. Sensitive content is sanitized or routed to a more secure AI model before any response is generated
What you get

Sensitive data caught before it reaches an AI

Sensitive information in your chat messages gets caught and safeguarded before any AI model sees it.

What you get

A risk-scored, audit-logged response that keeps sensitive data out of the wrong hands.

What you need

An account with an AI provider such as OpenAI, OpenRouter, or a self-hosted model.

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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