Overview
Credit & Loan Application Intake is a workflow that processes loan applications by extracting key data from income statements, tax returns, and employment proof across varied formats; computing debt-to-income (DTI); and recommending credit decisions for review. It supports a first-pass underwriting review — data extraction, validation, DTI calculation, and eligibility/approval recommendations — in one streamlined workflow. What you get: a structured table of extracted applicant and loan fields you can review, edit, and export.When to use Credit & Loan Application Intake
Use this workflow when you need a consistent first-pass review of loan applications, including:- Extracting applicant identity and employment details from mixed document formats
- Consolidating income evidence across payslips, bank statements, and tax returns
- Computing debt-to-income (DTI) from declared obligations and verified income
- Producing a clear eligibility assessment and approval recommendation for underwriting review
Step-by-step usage
1
Open the workflow
Navigate to Workflows > Template gallery and select Credit & Loan Application Intake.
2
Upload documents
Upload the supporting documents (PDF recommended; other formats supported depending on your setup).
3
Include all relevant documents
Include all relevant documents (e.g., income statements/payslips, tax returns, employment letters, bank statements, IDs).
4
Run extraction
Click Run to begin extraction and scoring.
5
Review extracted fields
Review extracted fields and edit anything that is incorrect (especially income and debt figures).
6
Export
Export results (CSV or Excel) for downstream processing and reporting.
Inputs
- Required: access to alk.wamiri.com
- Required: stable internet connection
- Required documents: income proof, tax returns, and employment proof (as available)
- Optional: bank statements, IDs, loan offer/application forms, supporting declarations
What’s specific to Credit & Loan Application Intake
- DTI depends on consistent units. Ensure income and debt obligations are expressed on the same basis (typically monthly). If a document provides annual values, convert before validating the computed DTI.
- Validate the source of truth. When values conflict across documents (e.g., self-declared income vs. tax return), prioritize verified evidence and note discrepancies in the eligibility assessment.
- Recommendation is advisory. The approval recommendation should be treated as a decision support output — underwriting teams should confirm policy rules, thresholds, and exceptions.
Standard fields (default columns)
Customising loan intake columns
You can tailor columns to match your underwriting checklist.- Add columns for credit score / bureau findings, loan tenor, interest rate, repayment method, collateral/guarantor, affordability buffers, existing lender exposures, and policy exceptions.
- Rename columns to be explicit (for example, “Monthly income (verified)” vs “Income”).
- Keep column names clear and unambiguous to improve extraction and calculation quality.
Important notes
- Always validate critical numbers (income, debt obligations, requested amount) against source documents.
- If a field is consistently wrong, simplify the column name or add a short instruction to the column prompt.
- Use consistent units (monthly vs annual) to avoid incorrect DTI outputs.
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Need help?
If you run into issues, contact the Wamiri support team at support@wamiri.com. Include:- What you were trying to do
- What happened instead
- Any error messages
- Steps to reproduce
- Screenshots or recordings (if available)