Credit Assessment Support

Credit assessment depends on financial documents that arrive in varied formats: bank statements, tax returns, financial reports, and proof-of-income letters. Analysts rekey numbers into spreadsheets, and any transcription error flows straight into the credit decision.

Staple AI extracts and verifies the financial data from these documents, so the credit function works from structured, checked inputs rather than manual re-entry.

The Document Problem in Credit Assessment

Bank statements come in PDF, scanned, or digital formats, each with a different layout. Tax returns vary by jurisdiction. Financial reports follow no standard template. Analysts spend hours extracting numbers and cross-checking them manually, and the review bottleneck scales linearly with application volume.

The risk is not just speed. A misread figure, a missed page, or an undetected alteration can change the outcome of a credit decision.

How Staple Supports Credit Assessment

Structured Extraction from Financial Documents

Context-based extraction reads bank statements, tax returns, and financial reports regardless of layout, format, or language. Header fields, line items, and totals are captured. Table totals are validated against line-item sums. Per-field confidence scores (default threshold 0.9) separate extracted values from inferred values.

Tampering Detection on Source Documents

Document tampering detection checks file metadata, text-layout consistency, and pixel-level anomalies before extraction begins. Each document receives a tamper confidence score: genuine, suspicious, or fraudulent. Evidence is shown to the reviewer in plain terms, so altered documents are caught before they enter the assessment.

Cross-Document Verification

Figures from bank statements can be checked against tax returns and financial reports. Cross-source reconciliation matches across multiple documents at line-item level, surfacing discrepancies that a single-document review would miss.

Multilingual Document Support

Financial documents from applicants in different countries process through the same pipeline, across 300+ languages. Cross-language matching means a bank statement in one language verifies against supporting documents in another.

Results from Financial Document Processing

Global investment bank ($12.8bn+ revenue, 17,000+ employees): 800+ document templates eliminated, 99.6% accuracy at 3 to 6 seconds per document, real-time reconciliation of quantities, values, and line items.

European KYC technology provider: proof of address, bank statements, utility bills, and payslips processed across multiple languages, with no-code onboarding of new document types.

Staple does not make the credit decision, set risk thresholds, or replace your credit scoring model. It provides the verified, structured financial data that your credit function and analysts require to make informed decisions.

See Extraction on Your Financial Documents

Bring bank statements, tax returns, or financial reports in any format, and see how Staple extracts, verifies, and structures the data for credit assessment.