XPndAI builds custom AI underwriting agents that read your documents, pull bureau data, parse bank statements, apply your credit policy rules, and write credit memos — in minutes, not days. Built for NBFCs, HFCs, digital lenders, and business-loan fintechs. Not a SaaS score. Your policy, your code.
XPndAI builds the entire agent workflow. Source code handed over at project close. No ongoing licence.
CIBIL TransUnion, Experian, Equifax, CRIF High Mark — real-time API pull, structured output.
UIDAI Aadhaar OTP API, DigiLocker document pull, NSDL PAN verification — RBI compliant.
All major Indian banks via XPndAI Extract. Perfios Bank Connect and Finbox Bank Connect also supported.
Finflux, Nucleus FinnOne, Mambu, LoanPro, custom LOS — API integration. Net-new LOS build available.
Mobile-first document upload portal — white-labelled. iOS + Android SDK for embedded upload flow.
Consent management, Indian data residency, KFS generation, fair practices code — all built in.
All projects fixed price. Discovery workshop → system spec → fixed quote → build → handover with source code.
An AI underwriting agent for NBFCs is a custom software system that automates the credit assessment process for loan applications. It reads the applicant's documents (bank statements, ITR, salary slips, KYC), pulls bureau data, 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 can process applications in minutes rather than the 3–7 day manual cycle.
A credit scoring SaaS (FinBox, Scienaptic, HyperVerge) provides a pre-trained risk model score and a SaaS interface. Your credit policy is not encoded — you get a score from the vendor's model and pay a monthly licence (typically ₹5L–₹20L+/month 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. This distinction matters for RBI audits — the agent produces a decision with a per-rule audit trail, not a vendor-model score.
Yes. For business and MSME loans, the underwriting agent handles: GSTR-1/3B turnover analysis (cross-referenced against bank statement credits), ITR income verification for self-employed borrowers, GST registration status check, trade reference verification, business vintage from MCA/GST data, banking behaviour analysis (OD utilisation, seasonal cash flows, debtor/creditor patterns). Business loan underwriting has more complexity than consumer loans — the policy rules engine handles the additional inputs and the credit memo template is configured for business lending format.
RBI's Digital Lending Guidelines (September 2022) require for AI-assisted lending: explicit borrower consent before bureau pull, all data stored on Indian servers, Aadhaar KYC only through UIDAI-approved channels, full audit trail of credit decisions, no sharing of borrower data with third parties without consent, and KFS (Key Fact Statement) generation for each approved loan. XPndAI's underwriting agent builds all of these controls in: UIDAI-compliant eKYC, consent management workflow, Indian-hosted deployment, decision audit trail per application, and KFS generation. We also review your existing loan agreement and processing workflow against the DLG guidelines as part of the discovery engagement.
Send us your credit policy summary. We map it to a system spec. Fixed-price quote in 5 days.
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