Vertical: Lending & Credit Risk Tagline: Draft-ready credit memos, human sign-off preserved.
Credit Underwriting Assistant is an AI credit underwriting assistant built for NBFCs and SME lenders who need to move faster without cutting corners on risk review. For a closer look at how this fits into a broader lending stack, see our page on the AI credit underwriting assistant approach. The urgency is real: AI-driven underwriting has compressed small business loan funding time from 4.2 days in 2024 to 1.8 days in 2026. As a result, lenders still relying on fully manual review are losing borrowers to whoever answers first.
The Problem
Underwriting SME loans requires manually parsing bank statements, GST filings, and bureau data into a credit memo. That process is slow by nature. Every hour an analyst spends assembling a memo is an hour not spent evaluating the next applicant. As a result, it puts a hard ceiling on how many applications a small lending team can process in a day. Hiring more analysts, meanwhile, scales cost linearly with volume. An AI credit underwriting assistant instead absorbs the repetitive extraction and drafting work, so the same team can review more applications without a proportional headcount increase.
Key Features
- Auto-parsed financials from bank statements and GST/bureau data
- Risk scoring with explainability (which factors drove the score)
- Auto-generated credit memo with ratios and red flags highlighted
- Configurable risk thresholds and scoring weights
- Role-based views: Analyst gets a structured memo draft, Risk Manager gets the explainability view, Approver gets a comparison against past applications
How This AI Credit Underwriting Assistant Works
- Applicant documents are uploaded or pulled directly via bureau and banking APIs.
- The agent extracts financials from those documents and computes a risk score.
- The system drafts a credit memo with key findings and red flags already highlighted.
- Finally, a human approver reviews the draft and finalizes the decision — the agent never approves a loan on its own.
Tech Stack
OCR/NLP extraction, gradient boosting with SHAP explainability, LangChain-style agent orchestration, FastAPI, and PostgreSQL.
Ideal For
NBFCs and SME lenders looking to scale loan volume without scaling headcount proportionally.
