Add safety checks that catch risky prompts before AI responds

Screens messages for manipulation attempts and personal data, and checks AI replies before they reach anyone.

How the work actually flows

It branches. Exactly one path is taken.

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

flowchart TD trig>"customer message received"]:::trig s0["screen incoming message"]:::task s1["generate ai response"]:::svc s2["screen ai response"]:::task s3["deliver final reply"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"× is content flagged"}:::gate s2 --> gx p00["send pre written fallback reply"]:::task gx -->|"flagged content"| p00 p10["send ai generated reply"]:::task gx -->|"content is safe"| p10 jn{"○ reply sent"}:::gate p00 --> jn p10 --> jn jn --> s3 out[/"safely filtered ai reply delivered"/]:::out pay{{"lower risk of harmful ai replies"}}:::pay s3 --> out out --> pay s2 -. "failures recorded, run continues" .-> out 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 serviceOne path onlyPaths rejoinResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsAPI & Webhook Integration
Connects
OpenAI

The problem it solves

You want an AI assistant talking to customers, but you're worried about it being tricked into leaking sensitive information or generating something inappropriate. Without a safety layer, you're trusting the AI to always get it right on its own.

Who it fits

Teams running a customer-facing AI assistant who need built-in safety checks.

How it works

  1. A message comes in for the AI to answer
  2. It is screened for manipulation attempts and personal data
  3. The AI generates a response
  4. The response is screened for inappropriate content or leaked information
  5. Flagged messages get a safe, pre-written reply instead
What you get

Risky prompts caught before they cause a problem

Messages get screened for manipulation and personal data before your AI responds, and again after, so nothing harmful slips through.

What you get

A safely filtered AI response, or a fallback reply when something is flagged.

What you need

An OpenAI API key and a system for receiving and responding to messages.

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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