Test whether your AI knowledge assistant finds the right answers

Automatically checks whether your AI assistant is pulling relevant information before it answers customer questions.

How the work actually flows

A straight line. Runs once per each test question.

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

flowchart TD trig(("team runs test question set")):::human s0[["run test questions"]]:::mi s1["retrieve supporting documents"]:::svc s2["score relevance to question"]:::task s3[("record results")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"relevance score per question"/]:::out pay{{"confidence in assistant accuracy"}}:::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 stepAn outside serviceRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGSpreadsheet & Database OpsReporting & Analytics
Connects
OpenAI

The problem it solves

You've built an AI assistant that answers questions from your documents, but you can't easily tell if it's actually pulling the right information before it responds. Bad answers from irrelevant sources erode trust in the tool. Without a way to test this systematically, problems only surface when a customer or employee complains.

Who it fits

Teams running an AI knowledge assistant or support chatbot who want confidence it's retrieving accurate information.

How it works

  1. Runs a set of test questions through your AI assistant
  2. The assistant retrieves supporting documents to answer each question
  3. AI compares the retrieved documents against the question to score relevance
  4. Results are recorded so you can see where the assistant is performing well or poorly
What you get

How reliably your assistant finds the right answer

Your AI knowledge assistant gets tested against real questions, so you can see exactly where it retrieves the right information.

What you get

A relevance score for each test question, showing where your AI assistant is retrieving accurate information and where it isn't.

What you need

An OpenAI API key and a vector database or document store for your AI assistant.

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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