About Prompt
- Prompt Type – Dynamic
- Prompt Platform – ChatGPT, Grok, Deepseek, Gemini, Copilot, Midjourney, Meta AI and more
- Niche – Loan Processing Automation
- Language – English
- Category – Credit Scoring
- Prompt Title – AI Prompt for Automating Loan Eligibility Assessment Based on Applicant Data
Prompt Details
**Prompt Objective:** Automate loan eligibility assessment and credit scoring based on applicant data for loan processing automation.
**Prompt Type:** Dynamic (adapts based on provided applicant data)
**Target Audience:** All AI platforms capable of natural language processing and data analysis.
**Instructions:**
This prompt assesses loan eligibility based on applicant-specific data. Replace the bracketed placeholders with the actual applicant information. Ensure all data points are accurate and complete for a reliable assessment. The AI should provide a comprehensive output, including a predicted loan eligibility status (approved, rejected, or needs further review), a credit risk score (e.g., on a scale of 1-10, where 1 is highest risk and 10 is lowest risk), key contributing factors influencing the decision, and if applicable, recommendations for improving the applicant’s eligibility.
**Prompt Structure:**
“`
Analyze the provided applicant data to determine loan eligibility and creditworthiness for a [Loan Type] loan of [Loan Amount]. Consider the following information:
* **Applicant Demographics:**
* Age: [Applicant Age]
* Employment Status: [Employment Status (e.g., Employed, Self-Employed, Unemployed)]
* Annual Income: [Annual Income]
* Years in Current Job: [Years in Current Job]
* Residential Status: [Residential Status (e.g., Owner, Renter)]
* **Credit History:**
* Credit Score: [Credit Score (e.g., FICO, VantageScore)]
* Credit Utilization Ratio: [Credit Utilization Ratio (Percentage)]
* Number of Open Credit Lines: [Number of Open Credit Lines]
* Number of Late Payments (Past 2 years): [Number of Late Payments]
* Any Bankruptcies or Foreclosures (Past 7 years): [Yes/No and details if applicable]
* **Loan Specifics:**
* Loan Type: [Loan Type (e.g., Personal Loan, Mortgage, Auto Loan)]
* Loan Amount: [Loan Amount]
* Loan Term (if applicable): [Loan Term (e.g., 36 months, 30 years)]
* Interest Rate (if applicable): [Interest Rate (Percentage)]
* Down Payment (if applicable): [Down Payment Amount]
* **Additional Context (Optional):**
* Purpose of Loan: [Purpose of Loan (e.g., Debt Consolidation, Home Improvement)]
* Co-applicant Information (if applicable): [Repeat the applicant sections for co-applicant]
* Existing Debt Obligations: [List of existing loans and monthly payments]
* Assets (if applicable): [List of assets and their estimated value]
Based on this information:
1. **Loan Eligibility Status:** Determine if the applicant is likely to be approved, rejected, or requires further review for the requested loan. Clearly state the predicted status.
2. **Credit Risk Score:** Provide a numerical credit risk score on a scale of 1-10, where 1 represents the highest risk and 10 represents the lowest risk. Justify this score.
3. **Key Contributing Factors:** Explain the key factors that most influenced the eligibility decision and credit risk assessment. Be specific and refer to the provided data points.
4. **Recommendations (if applicable):** If the applicant is rejected or requires further review, suggest concrete steps they can take to improve their eligibility. For example, recommend reducing credit utilization, paying down existing debt, or increasing income.
Present your analysis in a clear, concise, and structured format. Prioritize accuracy and provide detailed reasoning behind your conclusions.
“`
**Example Usage (Partially filled):**
“`
Analyze the provided applicant data to determine loan eligibility and creditworthiness for a Personal Loan loan of $10,000. Consider the following information:
* **Applicant Demographics:**
* Age: 32
* Employment Status: Employed
* Annual Income: $75,000
* … (Rest of the data)
* … (Rest of the sections with appropriate data)
Based on this information:
1. **Loan Eligibility Status:** …
2. **Credit Risk Score:** …
3. **Key Contributing Factors:** …
4. **Recommendations (if applicable):** …
“`
This dynamic prompt enables adaptable loan eligibility assessments across various AI platforms, catering to diverse loan types and applicant profiles while offering actionable insights for both lenders and applicants. The structured output facilitates easy integration into automated loan processing systems.