Credit Underwriting Process in India: What Each Stage Requires
The credit underwriting process in India runs through seven stages, from pre-screening and document collection to risk scoring, CAM preparation and final sanction, each requiring specific documents before the next stage can begin.
Most guides on credit underwriting spend a lot of words explaining what it is. This one focuses on what each stage requires: the documents, data points, and checks a lender needs before the next stage begins.
Delays rarely happen at the decision point. They happen because one stage is waiting on something the previous stage failed to produce. Precisa, used by credit teams across NBFCs and DSAs, is built specifically around this gap.
Key Takeaways
- The credit underwriting process in India follows seven stages, each with specific documents and data requirements before the next stage can proceed.
- Business loan underwriting is materially more complex than retail: GST returns, multiple bank accounts, and cross-analysis of financial data all come into play.
- Delays rarely happen at the decision stage. They happen at document collection (Stage 2) and financial data analysis (Stage 4).
- Bank statement analysis, GSTR reconciliation, and DSCR calculation are the three analytical pillars for MSME credit decisions.
- Automated analysis removes the data preparation work at Stage 4, cutting processing time from around two hours to 30 minutes.
What Credit Underwriting Involves
Credit underwriting is the process by which a lender evaluates a borrower’s creditworthiness before approving a loan. In India, it applies to both retail borrowers (salaried individuals, self-employed professionals) and business borrowers (MSMEs, proprietorships, private limited companies).
The process differs meaningfully between these two segments, particularly at the financial analysis stage. For business loans, the document set is heavier, and the analysis is more complex. As of May 2025, MSME credit accounted for 17.7% of total bank lending in India, with outstanding loans exceeding ₹14,30,000 crore, according to RBI data.
The Stages of Credit Underwriting in India
Requirements vary by lender, loan type, and ticket size. What follows reflects standard practice across Indian NBFCs and banks.
Stage 1: Pre-screening
Before a full application is opened, most lenders run a basic eligibility check. The purpose is to avoid committing analysis time to applications that fail on basic eligibility criteria.
What lenders typically require at this stage:
- A bureau score pull (usually CIBIL) to confirm there’s no hard stop in the applicant’s credit history.
- GSTIN status verification for business borrowers (whether the GSTIN is active and appears in the GSTN database).
- PAN and Aadhaar validation.
- A check against the lender’s internal negative or debarment list.
The output is binary: proceed or decline. Applications that clear move to document collection.
Stage 2: Application and document collection
This is the stage that generates the most friction. The lender needs to collect everything required for the subsequent analysis, and borrowers, MSMEs in particular, regularly submit incomplete sets on the first attempt.
For business borrowers, the documents typically required are:
- A completed loan application with entity details and loan purpose.
- Bank statements for all active accounts, usually covering 12 to 24 months.
- GST returns (GSTR-1 and GSTR-3B) for the same period.
- Income Tax Returns with computation of income for the last two years.
- A bureau report (CIBIL commercial or consumer, depending on the borrower type).
- KYC documents for all directors, partners, or proprietors.
- Property documents for secured loan applications.
- Business vintage proof, such as Udyam registration or a trade licence.
For salaried borrowers, the list is shorter: salary slips for three to six months, bank statements, Form 16, and employment proof.
The requirement at this stage is completeness, not speed. Incomplete files remain the single largest cause of avoidable delay.
Stage 3: KYC and document verification
Once the documents are in, the lender runs verification checks on the applicant’s identity and the authenticity of the documents submitted.
This stage requires:
- PAN verification against the income tax database.
- Aadhaar-based address verification.
- GSTIN active status reconfirmation against the GSTN portal.
- Bank statement forensics: PDF metadata checks, signs of alteration, and balance discrepancy verification.
- Bureau report authentication.
The bank statement forensics step has grown more important as document fraud has risen. A PDF that passes visual review may still carry metadata showing it was edited post-download. Any balance discrepancy needs to be resolved before financial analysis can proceed.
Stage 4: Financial data analysis
This is where the credit assessment happens. The lender builds a picture of the borrower’s financial health from the data collected.
For business borrowers, the analysis covers several layers:
1. Bank Statement Analysis
Bank statement analysis produces the cash flow picture: monthly average balance, inflow and outflow trends, average bank balance (ABB), FOIR (Fixed Obligation to Income Ratio), bounce patterns, circular transactions, and counterparty mapping.
2. GSTR Analysis

GSTR analysis covers declared turnover from GSTR-3B, filing consistency, customer concentration from GSTR-1, purchase patterns from GSTR-2A, and the split between B2B, B2C, and export sales.
3. Cross-Analysis
Cross-analysis reconciles the GSTR-declared turnover against the bank account credits for the same period. Significant unexplained discrepancies between the two are a fraud signal that neither source can surface on its own.
4. Bureau Analysis
Bureau analysis covers the full credit history: existing loan obligations, overdue accounts, total credit exposure, and repayment track record across all lenders.
5. DSCR (Debt Service Coverage Ratio)
DSCR (Debt Service Coverage Ratio) calculation measures net operating income against total debt service obligations, and is the primary indicator of repayment capacity for business loans.
For salaried borrowers, the analysis is almost entirely bank statement and bureau-focused, with FOIR as the central metric.
Stage 5: Risk scoring and policy rule application
With the financial data analysed, the lender applies their credit policy rules and scoring models to arrive at a risk categorisation for the application.
This stage requires:
- A credit score derived from the bank statement analysis. Platforms like Precisa generate a Precisa Score (0 to 1000, where higher indicates lower credit risk) and a Volatility Score (0 to 1, where lower indicates more stable cash flows).
- Policy rule execution: minimum bureau score thresholds, minimum ABB requirements, maximum FOIR, maximum permissible bounce count.
- Risk categorisation based on the scoring model output.
- Exception identification for applications that fall outside standard parameters but may still merit consideration.
Most NBFCs combine automated rule engines for clear passes and rejections with human review for borderline cases.
Stage 6: Credit Appraisal Memorandum preparation
For larger business loans, the credit officer prepares a Credit Appraisal Memorandum (CAM): a document summarising the borrower profile, analysis findings, risk assessment, and recommendation.
A well-prepared CAM contains:
- A financial summary drawn from the Stage 4 analysis.
- Risk score and policy rule outcomes from Stage 5.
- A management overview of the borrowing entity (business background, promoter profile, sector context).
- The purpose and deployment plan for the requested loan.
- The proposed loan structure: amount, tenor, pricing, and security.
- A clear recommendation: approve, decline, or approve with specific conditions.
The CAM goes to the sanctioning authority. Its quality determines how quickly Stage 7 moves. A CAM that requires the credit committee to request additional information creates a delay loop that compounds into days.
Stage 7: Sanction or rejection
The sanctioning authority, a credit committee, a senior credit officer, or the board, depending on loan size, reviews the CAM and makes the final lending decision.
This stage requires:
- A complete and coherent CAM.
- A clean audit trail from all earlier stages, covering documents collected, checks run, and analysis outputs.
- Responses to any queries the committee raises; these need to be data-backed.
For smaller loans, the system flags a pass or fail, and a credit officer confirms. Larger tickets go through a substantive committee review.
Where the Process Typically Slows Down
Credit officers consistently identify the same three pressure points: incomplete documents at Stage 2, manual extraction and analysis at Stage 4, and CAM preparation at Stage 6.
Stage 4 is the most addressable. Manual bank statement analysis (downloading a PDF, formatting data, running calculations in Excel) takes two hours or more per file. Multiply that across hundreds of applications a month, and it becomes a capacity problem.
How automated analysis changes the process
Automated bank statement analysis removes the extraction and calculation step; the credit officer reviews the output rather than building it. For GSTR analysis, the same principle applies; the reconciliation between GST filings and bank statement data happens automatically, with variances highlighted for interpretation. NBFCs and DSAs using Precisa have reduced per-application time from around two hours to 30 minutes. The analysis still happens; data preparation is handled by the platform.
Frequently Asked Questions
1. What documents are required in the credit underwriting process in India?
For business loans, lenders typically require 12 to 24 months of bank statements, GSTR-1 and GSTR-3B returns for the same period, ITR with computation, a bureau report, KYC documents for all directors or proprietors, and property documents for secured facilities. Salaried borrowers require salary slips, three to six months of bank statements, Form 16, and employment proof.
2. How long does credit underwriting take in India?
With manual processes, business loan underwriting typically takes three to seven working days. NBFCs using automated analysis have brought this down substantially for standard applications.
3. What is the difference between FOIR and DSCR?
FOIR is primarily used for retail borrowers: it measures EMI obligations as a share of monthly income. DSCR (Debt Service Coverage Ratio) is used for business loans: it measures net operating income against total debt service, and a DSCR above 1 indicates the business generates enough surplus to cover its loan obligations.
Conclusion
Automated analysis handles data extraction, pattern detection, and rule execution. It doesn’t replace the credit officer’s judgment on character assessment, sector knowledge, or context-specific factors that matter in borderline cases. Precisa is built for credit teams that want more time on judgment calls and less on data preparation.
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