Use Case · Lending & KYC
Verify income documents you can actually trust
Manipulated bank statements and payslips can pass human review. Hesper AI provides a machine-speed second opinion on every income document — before underwriting decisions are made.
Income document fraud in lending
Document fraud in lending typically targets bank statements (balance edits, transaction fabrication) and payslips (salary inflation, employer name changes). These edits are designed to look authentic — they pass visual inspection and often pass OCR-based validation too. Hesper AI looks at the document itself, not just what it says.
Bank statement manipulation
Fraudsters edit account balances, duplicate transactions, or fabricate entire PDF statements using freely available tools. Standard validation misses these because the numbers are internally consistent.
Payslip inflation
Salary figures, employer details, and dates are common targets. AI-powered editing makes it trivial to alter a single field while preserving the rest of the document's appearance.
Fits into your underwriting workflow
Hesper AI integrates into your application processing pipeline as a single API call. Whether you use a proprietary LOS or a third-party platform, our REST API works alongside your existing document ingestion flow.
Applicant submits income documents
Bank statements, payslips, or tax returns uploaded through your application portal.
Documents analyzed before underwriting
Hesper AI returns a fraud score and findings in under 80ms — before underwriters see the application.
Risk signal integrated into decision flow
High fraud scores can auto-decline, request additional verification, or flag for manual review — your policy, your threshold.
Audit trail for compliance
Every analysis is logged with findings, scores, and timestamps — giving your compliance team a complete audit trail.
Reduce first-party fraud without friction
Hesper AI runs invisibly in your backend — applicants experience no additional friction, and you catch fraud before it becomes a default. Works for consumer lending, BNPL, mortgages, and business loans.