Catch AI quality problems automatically before customers notice

Runs scheduled quality checks on your AI responses and sends a Slack alert the moment quality drops.

How the work actually flows

It branches. Exactly one path is taken; runs once per each test question.

Pattern: Exclusive Choice (4) · Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(["daily quality check schedule"]):::trigtime s0[["test AI with known questions"]]:::mi s1["score responses with AI judge"]:::task s2["compare average to quality bar"]:::task s3["send status alert"]:::svc trig --> s0 s0 --> s1 s1 --> s2 gx{"× is quality below bar"}:::gate s2 --> gx p00["send Slack alert"]:::task gx -->|"below bar"| p00 p10["send all-clear message"]:::task gx -->|"above bar"| p10 p00 --> s3 p10 --> s3 out[/"Slack alert on quality drop"/]:::out pay{{"catches AI quality issues early"}}:::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 serviceRuns once per itemOne path onlyResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsMessaging & Notifications
Connects
OpenAISlack

The problem it solves

Your AI-powered tools can quietly start giving worse answers after a model update or a shift in what customers ask, and nobody notices until a customer complains. You need a way to catch that drop before it reaches the people you're trying to serve.

Who it fits

Businesses running customer-facing AI tools who want to know about quality problems before their customers do.

How it works

  1. Runs on a daily schedule to test the AI against a set of known good questions
  2. Scores each response using a second AI acting as a judge
  3. Compares the average score against your minimum quality bar
  4. Sends a Slack alert the moment scores drop below that bar
  5. Sends an all-clear message when quality is healthy
What you get

Quality drops you hear about before customers do

Your AI tool gets checked daily against known-good questions, with an alert the moment answer quality slips.

What you get

A Slack alert flagging AI quality drops, plus a running record of scores over time.

What you need

An OpenAI API key and a Slack account.

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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