🏛️ XPndAI — Custom FinTech AI Development

Custom AI Underwriting Agent Development for Lenders & NBFCs

XPndAI builds custom AI underwriting agents for NBFCs, HFCs, and digital lenders. The agent reads your borrower's documents, pulls bureau data, analyses bank statements, applies your credit policy rules, and writes the credit memo — automating 80%+ of the manual underwriting workflow. Your policy as code. Your source code. Fixed price from ₹12L.

🇮🇳 India: ₹12L – ₹50L+
🇦🇪 UAE: AED 60k – AED 200k+
📋 Get a Fixed-Price Quote 💬 WhatsApp Our Team
₹12L
Starting India
80%+
Manual Workflow Automated
4 Bureaus
CIBIL Experian Equifax CRIF
RBI
Digital Lending Compliant
System Architecture

How It Works — End to End

Loan Application
→
Document Extraction
→
KYC Verification
→
Bank Statement AI
→
Bureau Pull
→
Policy Rules Engine
→
Credit Memo AI
→
Human Decision
Pipeline

Full Build — Step by Step

1
Loan Application & Document Collection Workflow
Borrower uploads via white-labelled mobile portal or OEM integration. Aadhaar eKYC (UIDAI OTP), DigiLocker pull, or manual upload. Application form pre-populated from extracted documents.
2
KYC — Identity & Address Verification AI Agent
PAN verified via NSDL/UTIITSL API. Aadhaar eKYC via UIDAI. Face match + liveness check. Address proof extraction and validation. Negative list / deduplication check. KYC completeness verified before bureau pull triggers.
3
Document Extraction — Income & Financial Docs XPndAI Extract
Salary slips, Form 16, ITR (all schedules), GST returns (GSTR-1/3B), bank statements (40+ Indian banks), business financials — all extracted into structured data. No manual data entry at any point.
4
Bank Statement Intelligence XPndAI Extract
12–24 months of bank statements parsed: salary credits (employer, amount, regularity), EMI debits mapped to bureau loans, FOIR pre-calculated, cash flow volatility, overdraft patterns, large unexplained debits, return cheques. All structured for the rules engine.
5
Bureau Pull & Credit Profile AI Agent
CIBIL TransUnion, Experian, Equifax, CRIF pulled via real-time API. Score, DPD history, active obligations, write-offs, settled accounts, inquiries — structured. Bureau cross-check across up to 4 bureaus for discrepancy detection.
6
Income & Business Financial Analysis AI Agent
Salaried: Form 16 / ITR cross-check vs bank credits, employer verification. Self-employed: GSTR-1 turnover vs ITR vs bank credits, GST filing regularity, GSTIN status. Business: 2-year P&L and balance sheet extraction, trend analysis, contingent liabilities.
7
Policy Rules Engine Configurable
Your NBFC's credit policy — CIBIL floor, FOIR ceiling, income minimum, sector exclusions, product-specific conditions, co-applicant rules — encoded as configurable rules. AI evaluates the full application and returns approve / refer / decline with a per-rule audit trail. Policy changes deployed without code change.
8
AI Credit Memo Generation AI Agent
Structured credit memo generated in your format: borrower profile, income analysis, repayment capacity, bureau summary, risk flags, policy evaluation, recommendation. Ready for credit committee. Waiver requests routed with context.
9
LOS Integration & Disbursement Trigger Integration
Approved application + credit memo pushed to your LOS (Finflux, Nucleus, Mambu, custom). Rejection reasons returned in structured format. Disbursement trigger on sanction. Full integration with existing workflow — no LOS replacement required.
Integrations

Systems We Connect To

📊

All 4 Indian Bureaus

CIBIL TransUnion, Experian, Equifax, CRIF High Mark — real-time API, structured output, cross-bureau comparison.

🆔

Aadhaar & PAN APIs

UIDAI Aadhaar OTP eKYC, DigiLocker, NSDL/UTIITSL PAN — full RBI-compliant KYC stack.

🏦

40+ Bank Statement Formats

All major Indian banks via XPndAI Extract. Perfios Bank Connect and Finbox Bank Connect also supported for direct fetch.

⚙️

Any LOS / LMS

Finflux, Nucleus FinnOne, Mambu, LoanPro, custom — API push/pull. Net-new LOS build also available.

📱

Borrower Upload Portal

Mobile-first white-labelled upload portal. iOS + Android SDK for embedded upload inside existing app.

🔒

RBI Digital Lending Compliant

Consent management, Indian data residency, KFS generation, fair practices code, audit trail — built in.

Compliance

Regulatory Framework

RBI Digital Lending Guidelines 2022
PMLA KYC Norms 2016 (amended)
DPDP Act — Aadhaar masking
RBI Fair Practice Code (NBFCs)
CIBIL/Equifax Bureau Data Access Agreement
Pricing

Fixed Price — India & UAE

Discovery workshop → system spec → fixed quote → build → source code handover. No ongoing licence.

🇮🇳 India
₹12L – ₹50L+
  • ₹12L–₹18L: Single product, < 500 apps/month, 1 bureau
  • ₹20L–₹35L: Multi-product, 3 bureaus, bank statement feed
  • ₹38L–₹50L: Full LOS build + underwriting + mobile portal
  • ₹50L+: Large NBFC, multi-state, regulatory audit-grade trail
🇦🇪 UAE
AED 60k – AED 200k+
  • AED 60k–80k: Consumer / personal loan, CBUAE compliant
  • AED 90k–130k: SME lending + trade documents
  • AED 150k–200k: Bank-grade LOS + CBUAE audit architecture
  • AED 200k+: Multi-product bank, full compliance + hosting
FAQ

Common Questions

What is an AI underwriting agent for NBFCs?

An AI underwriting agent for NBFCs automates the credit assessment workflow for loan applications. It reads the applicant's documents (bank statements, ITR, salary slips, KYC), pulls bureau data from all four Indian bureaus, applies your NBFC's specific credit policy rules, and generates a credit memo — replacing the manual analyst workflow. XPndAI builds these as custom systems: your credit policy encoded as auditable, configurable rules — not a vendor's black-box model. The agent integrates with your LOS and processes applications in minutes rather than the 3–7 day manual cycle. Source code is handed over at project close.

How is an AI underwriting agent different from a credit scoring SaaS product?

A credit scoring SaaS (FinBox, Scienaptic, HyperVerge, Perfios) provides a pre-trained risk model score and a SaaS interface. Your credit policy is not encoded — you get a vendor model score and pay a monthly licence, typically ₹5L–₹20L+ at scale. An XPndAI AI underwriting agent is a custom build: your credit policy rules (CIBIL floor, FOIR ceiling, income verification logic, sector exclusions) are encoded as configurable rules that are fully auditable. You own the source code. There is no ongoing licence. For RBI audits — the agent produces a decision with a per-rule audit trail, not a vendor-model score that you cannot explain.

Can the underwriting agent handle both salaried and self-employed loan applications?

Yes. XPndAI's underwriting agent handles both applicant profiles with different data sources and rules. Salaried: salary slips, Form 16, NSDL ITR, bank statement salary credit verification, employer name extraction. Self-employed: GSTR-1/3B turnover analysis, ITR cross-check against bank credits, GSTIN status check, GST filing regularity analysis. Business loans: 2-year P&L and balance sheet extraction, DSCR calculation, OD utilisation pattern, debtor/creditor turnover. The credit policy rules engine is configured separately for each product and applicant profile — the same system handles all three.

What does "fixed price" mean for an AI underwriting agent development project?

Fixed price means XPndAI commits to a specific scope and price before building. The process is: (1) 1–2 week paid discovery engagement (₹1L–₹3L) to document your credit policy, existing systems, data landscape, and regulatory obligations; (2) system specification delivered — all features, integrations, compliance controls documented; (3) fixed-price quote covering design, build, integration, UAT support, and handover with source code. No time-and-materials billing, no scope creep invoices. If a change is requested that is outside the agreed spec, it is quoted separately before implementation. Monthly cost after handover is hosting only — typically ₹15k–₹35k/month.

Build Your AI Underwriting Agent — Discovery Call

Send us your credit policy summary and current LOS. We scope the build and give you a fixed-price quote in 5 days.

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