Turn scattered customer reviews into a business intelligence report

Collects reviews from sites like Trustpilot, analyzes sentiment and trends with AI, and emails you a summary report.

How the work actually flows

It branches. Exactly one path is taken; runs once per each review scraped.

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

flowchart TD trig(("pointed at a review page")):::human s0[["scrape reviews from source"]]:::mi s1[("log each review to spreadsheet")]:::store s2["ai analyzes review patterns"]:::task s3["deliver summary or alert"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"× does analysis flag a problem"}:::gate s2 --> gx p00["emailed summary sent"]:::task gx -->|"normal findings"| p00 p10["alert sent"]:::task gx -->|"reputation risk detected"| p10 p00 --> s3 p10 --> s3 out[/"bi report or alert delivered"/]:::out pay{{"catch reputation issues before they spread"}}:::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 stepRuns once per itemA personA record or sheetOne path onlyResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsEmail AutomationSpreadsheet & Database OpsWeb Scraping & Data CollectionResearch & Market Intelligence
Connects
Google SheetsGmail

The problem it solves

Customer reviews pile up across different platforms, and reading through all of them to spot real patterns in sentiment and complaints takes hours you don't have. Without a regular process, you find out about a reputation problem only after it's already spread.

Who it fits

A customer experience team or brand manager monitoring reputation across review platforms.

How it works

  1. You start the process by pointing it at a review page you want tracked
  2. It scrapes the reviews, ratings, dates, and locations from that source
  3. Each review is logged to a spreadsheet for ongoing tracking
  4. AI analyzes the full set of reviews for sentiment and key patterns
  5. You get an emailed summary with actionable insights, or an alert if something looks wrong
What you get

Sentiment trends surfaced across all your reviews

You get an emailed summary of sentiment and patterns across all your customer reviews, with an alert whenever something looks off.

What you get

A running spreadsheet of collected reviews and an emailed business intelligence summary.

What you need

A web scraping service account, an OpenAI account, and a Google Workspace 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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