Score new Shopify orders for fraud risk and route them automatically

AI scores every new Shopify order for fraud risk, flags risky ones for review, and auto-sends safe orders to your supplier.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig>"new shopify order placed"]:::trig s0["score order for fraud risk"]:::svc s1[("log order to spreadsheet")]:::store s2["send order to supplier"]:::svc s3["notify customer and team"]:::task trig --> s0 s1 --> s2 s2 --> s3 gx{"× is the order high risk"}:::gate s0 --> gx p00["flag in slack for review"]:::task gx -->|"high risk"| p00 p10["log to spreadsheet"]:::task gx -->|"low risk"| p10 p11["send to supplier"]:::task p10 --> p11 p00 --> s1 p11 --> s1 out[/"risky orders flagged safe orders fulfilled"/]:::out pay{{"fraud caught without slowing good orders"}}:::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
Starts itA stepAn outside serviceA record or sheetOne path onlyResultPayoff
Build size
Advanced

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

Business functions
E-commerce & ProductEmail AutomationMessaging & NotificationsSpreadsheet & Database Ops
Connects
ShopifyOpenAIGoogle SheetsGmailSlack

The problem it solves

Every new order needs a quick gut-check for fraud before you ship it, but eyeballing billing mismatches and suspicious emails on each one doesn't scale as order volume grows. Missing a fraudulent order costs you the product and the money. Meanwhile, safe orders still need someone to manually notify the supplier and send a confirmation, which slows down fulfillment.

Who it fits

A Shopify store owner or small dropshipping team processing enough orders that manual review has become a bottleneck.

How it works

  1. A new order comes in on Shopify
  2. AI scores the order for fraud risk based on billing details, order total, and other signals
  3. High-risk orders are flagged in a Slack channel for a human to review, and stop there
  4. Low-risk orders are logged to a spreadsheet and sent automatically to your supplier
  5. The customer gets a personalized thank-you email and the team gets a Slack confirmation
What you get

Risky orders flagged before they ship

You get every new order scored for fraud risk, with anything suspicious flagged for a teammate before it ships.

What you get

A fraud-screened order pipeline: risky orders flagged for review, safe orders fulfilled and confirmed automatically.

What you need

A Shopify store, an OpenAI API key, a Google account, a Gmail 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

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