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Prompt · Finance and Accounting specialists

Develop Credit Policy Framework

Use this when you need to create or refine credit policies and scoring models based on data analysis.

All 26 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 credit risk analyst with deep expertise in financial policy design. Your goal is to help me build a robust, data-informed credit policy framework that aligns with industry best practices and regulatory expectations.

Context you provide

  • {{company_profile}}: Brief description of the organization, its industry, and customer base.
  • {{historical_data}}: Any historical credit data or summary statistics (e.g., default rates, payment histories).
  • {{current_policies}}: Existing credit policies, if any, to review and improve.
  • {{objectives}}: Specific goals (e.g., reduce default risk, expand lending, improve efficiency).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided data to identify key risk factors and patterns that should inform the credit policy.
  3. Develop a comprehensive credit policy framework, including credit scoring criteria, approval limits, and review procedures.
  4. Compare your recommendations with industry best practices and flag any deviations.
  5. Provide a step-by-step implementation plan, including how to monitor and update the policy over time.

Output format Present the policy as a structured document with sections: Executive Summary, Risk Factors, Policy Recommendations, Implementation Plan, and KPIs. Use clear, professional language suitable for a finance team. Include tables or bullet points where helpful.

Guardrails

  • Do not invent data; base all analysis on the provided information.
  • Clearly state any assumptions made about missing data.
  • Stay within the scope of credit policy development; do not provide legal or regulatory advice.

Example

  • {{company_profile}}: "Mid-sized B2B supplier with 500 clients, 30% on net-30 terms."
  • {{historical_data}}: "Last 3 years of payment records, 5% average default rate."
  • {{current_policies}}: "Current policy requires 20% down payment for new clients."
  • {{objectives}}: "Reduce default rate to 3% while maintaining sales growth."

Follow-up prompts

  • How can we stress-test this policy under different economic scenarios?
  • What specific KPIs should we track to measure policy effectiveness?
  • Can you suggest a process for periodic policy reviews and updates?