Screen transactions for fraud risk automatically and alert your team

Scores every incoming transaction for fraud risk with AI and instantly flags the risky ones to your team.

How the work actually flows

It branches. Exactly one path is taken; a person is alerted when a step fails.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"transaction received"]:::trig s0["score transaction risk"]:::svc s1["sort by risk level"]:::task s2[("log the incident")]:::store trig --> s0 s0 --> s1 gx{"× is the risk high"}:::gate s1 --> gx p00["hold transaction"]:::task gx -->|"high risk"| p00 p01["alert fraud team"]:::task p00 --> p01 p10["allow transaction to continue"]:::task gx -->|"low risk"| p10 jn{"○ log incident"}:::gate p01 --> jn p10 --> jn jn --> s2 out[/"risky transactions flagged and held"/]:::out pay{{"fraud caught before money is lost"}}:::pay s2 --> out out --> pay esc(("Alerts a person")):::human s1 -. "if it fails" .-> esc esc -.-> out 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 personA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsAPI & Webhook IntegrationFinance & Accounting
Connects
OpenAIGoogle SheetsGmailSlack

The problem it solves

Reviewing transactions for fraud by hand is slow, and by the time someone notices something suspicious, the money may already be gone. You need risky transactions flagged the moment they happen, not after a manual review days later.

Who it fits

A fintech, payment processor, or finance team that needs to catch suspicious transactions before they complete.

How it works

  1. A transaction comes in
  2. AI reviews the details and assigns a risk score
  3. Transactions are sorted by risk level
  4. High risk transactions are held and your fraud team is alerted
  5. Every incident is logged for later review
What you get

Fraud that gets caught before it costs you

Suspicious transactions get flagged and held before they can turn into losses.

What you get

A flagged, held transaction with a risk score, an alert to your fraud team, and a logged record for compliance review.

What you need

An OpenAI account, a source of transaction data, a Google Sheets account, Gmail, and Slack.

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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