Catch fraudulent travel bookings automatically before they cost you

Every booking is checked for fraud risk using location and AI analysis, then flagged, blocked, or logged automatically.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig>"new booking transaction received"]:::trig s0["check location against expected"]:::task s1["ai analyzes booking patterns"]:::task s2["calculate risk score"]:::task s3["log decision and notify staff"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"× what is the risk level"}:::gate s2 --> gx p00["block booking"]:::task gx -->|"high risk"| p00 p10["flag for review"]:::task gx -->|"medium risk"| p10 p20["approve booking"]:::task gx -->|"low risk"| p20 jn{"○ booking decision made"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s3 out[/"risk scored booking decision logged"/]:::out pay{{"catch fraud before it costs money"}}:::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 stepOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsEmail AutomationSpreadsheet & Database OpsAPI & Webhook IntegrationScheduling & Calendar
Connects
Google GeminiGoogle SheetsGmail

The problem it solves

Fraudulent bookings can slip through and cost you real money before anyone notices something is wrong. Manually reviewing every transaction for red flags is not realistic when bookings come in constantly.

Who it fits

Travel agencies or booking platforms that need to catch fraudulent transactions before they process.

How it works

  1. A new booking transaction comes in
  2. The system checks the booking's IP location against the customer's expected location
  3. AI analyzes the booking details for unusual patterns
  4. A risk score is calculated and the booking is flagged, blocked, or approved
  5. The transaction and decision are logged, and relevant staff are notified
What you get

Fraudulent bookings caught before they cost you

Every travel booking gets checked for fraud risk automatically, with suspicious transactions flagged before they can cost you.

What you get

A risk-scored booking decision, either blocked, flagged for review, or approved, plus a logged audit trail.

What you need

A Google Gemini account, a Google Sheets account, and a Gmail account for notifications.

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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