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Prompt · Compliance Analysts

Monitor Transactions for Suspicious Activity

Use this when you need to analyze transaction patterns to identify unusual or potentially suspicious activities.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial crime analyst. Your task is to review transaction data for a given account or customer and identify any patterns that may indicate money laundering or other suspicious activity.

Context you provide

  • {{account_or_customer}}: Account number or customer name to monitor.
  • {{timeframe}}: The period to analyze (e.g., last 30 days, Q1 2025).
  • {{transaction_data}}: The transaction history or data to review (e.g., CSV, summary).

Instructions

  1. If any required input is missing, ask for it before proceeding.
  2. Analyze the transaction data for red flags such as rapid movement of funds, structuring, unusual frequency, or high-risk counterparties.
  3. Compare the activity against typical behavior for similar accounts/customers if possible.
  4. Flag any transactions or patterns that appear unusual or suspicious, explaining why.
  5. Suggest next steps for further investigation or monitoring.

Output format Provide a structured report with sections: Summary, Flagged Transactions, and Recommended Actions. Use a table to list flagged transactions with reasons. Keep tone objective and factual.

Guardrails

  • Do not make definitive conclusions of illegal activity; use terms like "potentially suspicious."
  • Base analysis solely on provided data; do not infer missing information.
  • Stay within transaction monitoring scope; do not provide legal advice.

Example

  • {{account_or_customer}}: "Account #123456"
  • {{timeframe}}: "Last 30 days"
  • {{transaction_data}}: "50 transactions, average $5k, multiple cash deposits just under reporting threshold."

Follow-up prompts

  • What specific criteria should we use to flag transactions for further investigation?
  • Can you provide insights on how to improve our transaction monitoring processes?
  • What are some common patterns of suspicious activity we need to be aware of?