Automatically score the quality of Japanese translations

New Japanese documents are translated, back-translated, and scored for accuracy, with results posted to Slack.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"new document uploaded to drive"]:::trig s0["translate document to english"]:::svc s1["translate back to japanese"]:::svc s2["compare and score accuracy"]:::task s3[("create difference report")]:::store s4["post score to slack"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"translation quality score and report"/]:::out pay{{"consistent objective quality check"}}:::pay s4 --> 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 serviceA record or sheetResultPayoff
Build size
Advanced

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

Business functions
Messaging & NotificationsTranslation & LocalizationFile & Cloud Storage
Connects
Google DriveDeepLGoogle DocsSlack

The problem it solves

Checking whether a Japanese translation is accurate usually means having a bilingual reviewer read through it line by line. That's slow, and it's hard to get a consistent, objective sense of quality across many documents.

Who it fits

Localization teams and QA reviewers who handle Japanese-to-English translation.

How it works

  1. A new Japanese document lands in a watched Google Drive folder
  2. The text is translated into English, then translated back into Japanese
  3. The original and back-translation are compared to estimate a quality score
  4. A report showing the differences is created in Google Docs
  5. The score and report link are posted to Slack
What you get

Translation quality scores you can trust at a glance

You get a quality score and side-by-side comparison for every Japanese translation, posted straight to your team's Slack channel.

What you get

A quality score, a difference report in Google Docs, and a Slack notification for the team.

What you need

A Google Drive account, a DeepL account, and a Slack workspace.

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

Related automations

Compare bilingual contract versions and flag clause mismatches

Translates both language versions of a contract and flags any clauses that do not match so nothing gets signed by mistake.

Standard

Generate a full sales plan with AI marketing, ops, and finance help

On demand, AI agents playing marketing, operations, and finance draft a sales plan, merged and shared as a PDF.

Advanced

Turn meeting recordings into sorted sales and task updates

Transcribes your meeting recordings, sorts sales calls from internal ones, and files the notes where your team already looks.

Advanced

Generate a formatted PDF report with AI and share it in Slack

AI drafts document content, Google Docs turns it into a formatted PDF, and the file is posted to Slack automatically.

Advanced
Back to the AI Playbook