Screen ticket orders for fraud and handle fan follow-up

Checks every ticket booking for fraud and errors, then automatically confirms, waitlists, refunds, or messages the fan.

How the work actually flows

It branches. Exactly one path is taken.

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

flowchart TD trig>"new ticket booking submitted"]:::trig s0["receive booking request"]:::task s1["check order for fraud signals"]:::task s2["classify booking risk level"]:::task s3["notify fan and team"]:::svc trig --> s0 s0 --> s1 s1 --> s2 gx{"× how risky is this order"}:::gate s2 --> gx p00["confirm the booking"]:::task gx -->|"safe order"| p00 p10["add fan to waitlist"]:::task gx -->|"needs review"| p10 p20["trigger automatic refund"]:::task gx -->|"high risk"| p20 jn{"○ send notifications"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s3 out[/"screened booking with fan notified"/]:::out pay{{"fraud caught without slowing real fans"}}:::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 serviceOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsE-commerce & ProductEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsScheduling & Calendar
Connects
OpenAIGmailSlackGoogle Sheets
Featured in

The problem it solves

You worry about bots and duplicate purchases grabbing tickets meant for real fans, and about overbooking or payment mix-ups slipping through unnoticed. Sorting out refunds and confirmations by hand for every order eats up your team's time and delays customers.

Who it fits

Ticketing platforms, venue operators, and event teams selling tickets online.

How it works

  1. A new ticket booking request comes in
  2. The system checks the order against inventory, pricing rules, and fraud signals
  3. It classifies the booking as safe to approve, needing review, or high risk
  4. Depending on the outcome, it confirms the order, adds the fan to a waitlist, or triggers a refund
  5. The fan gets an email confirmation and the team gets a Slack alert if something needs attention
What you get

Fraudulent orders caught before they cost you

You get every ticket order checked automatically, with safe orders confirmed and risky ones flagged before they become a problem.

What you get

An approved or flagged booking, an automatic fan email, and a logged record for the team.

What you need

An OpenAI API key, a ticketing system with API access, Gmail, Slack, and Google Sheets.

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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