Know Your Customers - Banking & NBFC

Intro

A loan application does not come with one document. It has an identity proof, an address proof, income records, bank statements and entity papers, arriving in whatever condition the applicant could produce. Every hour that file waits in a queue is an hour the applicant spends comparing offers elsewhere.

This brief sets out how DocXtract handles the document layer of KYC and Loan approval: reading every submission regardless of format or condition, validating it before it moves, and passing clean data into the core banking stack.

Key themes include

• The document set: What has to be captured and verified on each artefact in a retail or SME loan file, and where manual review currently absorbs the time.
• Extraction without templates: Photographed, scanned and mixed-quality submissions read without a template per document type or per branch, so onboarding a new product or channel needs no configuration.
• Validation before the file moves: Identifier checks, cross-document consistency and duplicate detection applied at intake rather than discovered at approval or audit.
• Integration into the lending stack: Clean, structured output into the LOS, CBS and downstream credit systems through pre-built connectors or REST API.

Outcome

The brief quantifies what changes for turnaround time and cost per file, with the assumptions stated so credit and operations teams can substitute their own volumes.