Course overview
Start hereAI for Fraud Analysts
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Priya's Wednesday, two ways

8 lessons · 24 prompts

A day in the life of a Fraud Analyst: what changes with these prompts.

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Priya, a fraud analyst at a mid-sized bank.

Priya starts her Wednesday with a long list of new alerts in the queue. She opens one that shows a string of small online purchases on the same card, all from a device she has not seen before. She pastes the alert details into ChatGPT and uses the Alert Triage And Review prompt. The AI sorts the alerts into groups and points to three that look like card testing. Priya checks the three and agrees.

Next she uses the Fraud Pattern Analysis prompt. She asks Claude to look at the last two weeks of transactions from the same device ID and customer name. It suggests a pattern of small test charges followed by a larger purchase. Priya pulls the related case notes and sees the same story. She starts an investigation.

For the investigation, Priya opens the Conducting Investigations prompt. She asks Gemini to outline next steps and list questions for the customer. The AI gives her a plan: check the IP address, review the shipping address, and ask the customer about the device. Priya adds her own questions and calls the customer.

After the call, Priya uses the Report Writing And Documentation prompt. She drafts a clear report with a timeline, then edits it to match her bank's format. She finishes before 5 p.m. and leaves on time to coach her daughter's soccer practice. The time she won back goes to her family and a short walk before dinner.

Before

  • Alerts pile up faster than I can read.
  • I skip lunch to finish my notes.
  • Reports take hours I do not have.
  • I worry about missing the big one.

After this course

  • I clear my high-risk queue before lunch.
  • I write reports in one calm sitting.
  • I leave on time for soccer practice.
  • I spot patterns I used to miss.

What you'll learn

  • Triage alerts: Use AI to summarize and rank transaction alerts so you start with the highest-risk cases.
  • Spot patterns: Ask AI to find patterns and explain fraud types from transaction data and case notes.
  • Plan investigations: Let AI outline investigation steps, summarize evidence, and draft interview questions.
  • Prepare interviews: Use AI to get ready for conversations and pull key points from transcripts.
  • Write reports: Draft clear reports and timelines that meet your organization's standards.
  • Work with police: Prepare referral documents, case briefs, and evidence summaries for law enforcement.
  • Update systems: Suggest rule changes and plan tests for your fraud detection systems.
  • Monitor accounts: Set monitoring thresholds and draft customer messages that explain findings in plain language.

How this course works

  1. 8 lessonsOne task of your job each, from alert triage and review to account monitoring and customer communication.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish and keep the prompts as your own library.