CreditDecide automatically classifies uploaded borrower documents — bank statements, payslips, credit reports, identity, and financial statements — extracts the fields that matter, and links every extracted value back to its source for full provenance.
When a borrower uploads a document, CreditDecide identifies its type — bank statement, payslip, credit report, identity proof, employment letter, tax document, or financial statement — and routes it to the right extraction pipeline. No manual sorting required.
The extraction engine pulls structured fields from each document, assigns a confidence score to every value, and flags inconsistencies or quality issues for review. Extracted data flows directly into the canonical financial and credit profiles used for underwriting.
Every extracted field is linked to the document, page, and field it came from. When a risk signal fires, you can trace it back through the evidence graph to the exact value in the original document — making audits and adverse-action explanations straightforward.
AI Underwriting vs. Traditional Underwriting: What's Changing?
Traditional underwriting is manual, inconsistent, and slow to audit. AI underwriting isn't replacing the underwriter — it's giving them a structured, traceable foundation to work from.
TechnologyHow Document AI Is Transforming Credit Underwriting
Bank statements, payslips, and credit reports arrive in dozens of formats. Document AI classifies, extracts, and links every field to its source — turning unstructured paperwork into underwriting-ready data.
FoundationsAutomated Underwriting: From Application Intake to Final Decision
Walk through the full automated underwriting flow — from a borrower hitting a white-label form to an exportable, explainable decision — and see where each stage adds structure.