Analyze customer feedback in any language and flag issues fast

Reads customer feedback in English, Spanish, or Malay and automatically flags sentiment for your team.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Sequence (1) · Parallel Split (2) · Synchronisation (3)

flowchart TD trig>"new customer feedback arrives"]:::trig s0["detect sentiment in feedback"]:::task s1["pull customer details"]:::svc s2[("log everything for review")]:::store trig --> s0 s0 --> s1 gx{"+ where to send results"}:::gate s1 --> gx p00["send analysis to platform"]:::task gx -->|"send to analytics"| p00 p10["back up analysis automatically"]:::task gx -->|"backup record"| p10 jn{"+ log everything"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"sentiment flagged and recorded"/]:::out pay{{"faster response to unhappy customers"}}:::pay s2 --> 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 sheetEvery pathWaits for allResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Spreadsheet & Database OpsReporting & AnalyticsAPI & Webhook IntegrationSurvey & FeedbackCustomer Support & Ticketing
Connects
OpenAIPostgreSQL

The problem it solves

Feedback comes in from everywhere, in different languages, and it is easy for frustrated customers to get lost in the pile. You do not have time to read every comment and figure out which ones need urgent attention. Important complaints can slip through simply because no one got to them fast enough.

Who it fits

Customer support teams and product managers handling feedback across multiple languages.

How it works

  1. A new piece of customer feedback comes in
  2. AI reads it and detects sentiment in English, Spanish, or Malay
  3. The analysis is sent to your analytics platform and backed up automatically
  4. Customer details are pulled from your database for context
  5. Everything is logged for your records
What you get

A faster read on how customers feel

Customer feedback in English, Spanish, or Malay is automatically read for sentiment and logged for your team to review.

What you get

A sentiment analysis for every piece of feedback, sent to your analytics platform and logged for review.

What you need

An OpenAI API key, a PostgreSQL database, and an analytics or backup endpoint to send results to.

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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