Prompt · Compliance Analysts
Monitor Transactions for Suspicious Activity
Use this when you need to analyze transaction patterns to identify unusual or potentially suspicious activities.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- If any required input is missing, ask for it before proceeding.
- Analyze the transaction data for red flags such as rapid movement of funds, structuring, unusual frequency, or high-risk counterparties.
- Compare the activity against typical behavior for similar accounts/customers if possible.
- Flag any transactions or patterns that appear unusual or suspicious, explaining why.
- 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?