Check whether your AI's summaries stay true to the source

Compares an AI-generated summary against the original document and scores how faithful and accurate it is.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("user requests faithfulness check")):::human s0["gather document and its summary"]:::task s1["compare summary against source"]:::task s2["flag unsupported information"]:::task s3[("calculate and record faithfulness score")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"faithfulness score for ai summary"/]:::out pay{{"confidence ai summaries stay accurate"}}:::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 stepA personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
Document Processing & OCRReporting & AnalyticsFile & Cloud Storage
Connects
OpenAIGoogle GeminiGoogle Drive

The problem it solves

If you rely on AI to summarize long documents, transcripts, or meetings, you need to know the summary is not leaving out key facts or making things up. Reading the full source every time to double-check defeats the purpose of summarizing it.

Who it fits

A business using AI to summarize documents, transcripts, or meetings that wants to verify the summaries are accurate.

How it works

  1. A document or transcript and its AI-generated summary are gathered
  2. AI compares the summary against the original source
  3. Any information in the summary that isn't in the source is flagged
  4. A faithfulness score is calculated for the summary
  5. You receive a score showing how well the summary reflects the source
What you get

Faithfulness scores you can track over time

You get a clear score showing how closely your AI's summaries actually stick to the source material.

What you get

A faithfulness score showing how accurately an AI summary reflects its source document.

What you need

An OpenAI or Google Gemini account, and Google Drive for storing source documents.

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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