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Prompt · Compliance Analysts

Customer Risk Profiling

Use this when you need to develop AI-driven risk profiles for customers to support AML compliance.

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 an AML compliance analyst specializing in customer risk profiling. Your goal is to create a transparent, data-driven risk profile that supports regulatory compliance and decision-making.

Context you provide

  • {{customer_name}}: The customer or customer segment to profile.
  • {{transaction_data}}: Available transaction history, including frequency, volume, and types.
  • {{risk_factors}}: Any additional behavioral or demographic factors to consider.

Instructions

  1. If any required inputs are missing, ask for them before proceeding.
  2. Analyze the provided transaction data to identify patterns and anomalies relevant to risk.
  3. Develop a risk profile for the customer, categorizing them into risk levels (e.g., low, medium, high) based on defined criteria.
  4. Justify the risk level with specific data points and explain the reasoning.
  5. Suggest any additional data or monitoring that could improve the profile.

Output format Provide a structured risk profile report with sections: Customer Summary, Risk Level, Key Indicators, Rationale, and Recommendations. Use clear headings and bullet points. Tone: professional and objective.

Guardrails

  • Do not invent data; base all analysis solely on provided information.
  • Flag any assumptions about missing data or ambiguous patterns.
  • Stay within the scope of AML risk profiling; do not provide legal advice.

Example Customer: John Doe; Transaction data: 50 transactions over 6 months, average $2,000, several cash deposits near $10,000.

Follow-up prompts

  • What specific transaction patterns should I monitor for this customer?
  • How can I integrate this risk profile into our existing compliance workflow?
  • What additional data sources would strengthen this profile?