Test your AI chatbot's safety filters before customers use it

Runs real-world test messages through your AI chatbot's safety checks so you can confirm it blocks bad content before launch.

How the work actually flows

A straight line. Runs once per each test message.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("team runs safety test")):::human s0[["run test messages through system"]]:::mi s1["check for profanity personal data manipulation"]:::task s2["flag and clean violations"]:::task s3["generate pass fail report"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"pass or fail safety report"/]:::out pay{{"proof the chatbot is safe before launch"}}:::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
A stepRuns once per itemA personResultPayoff
Build size
Standard

A mid-size build with several tools working together.

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

The problem it solves

Before you put an AI chatbot in front of customers, you need to know it won't leak sensitive information, get tricked into saying something inappropriate, or repeat someone else's login details. Testing every possible bad scenario by hand takes forever, and one blind spot can turn into a public embarrassment. You need proof the safety checks actually work, not just hope.

Who it fits

Businesses launching a customer-facing AI chatbot or assistant who need to confirm it's safe before going live.

How it works

  1. A set of realistic test messages, including tricky and malicious ones, is run through the system
  2. Each message is checked for profanity, leaked passwords, personal information, and attempts to manipulate the AI
  3. The AI flags anything that violates your rules and cleans up the text where possible
  4. You get a clear pass or fail report showing exactly what was caught
What you get

Confidence your chatbot is safe before launch day

You get a clear pass or fail report showing your chatbot's safety filters catch bad content before real customers ever chat with it.

What you get

A pass or fail safety report showing which risky inputs your chatbot correctly blocked or missed.

What you need

An AI provider account such as Groq.

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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