Document Processing in Banks
Banks process millions of documents every day — loan applications, mortgage packages, credit agreements, customer onboarding files, letters of credit, wire transfer instructions, collateral appraisals, regulatory filings, the list goes on.
Slow or inaccurate document processing delays lending decisions and customer onboarding, creating compliance exposure and operational costs that compound at scale.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
Banks
Faster Decisions Across Lending
Extracting borrower data, income documentation, and collateral records with high accuracy compresses loan origination timelines so relationship managers close more business without adding underwriting headcount.
Audit-Ready Extraction by Design
Every field extracted from a customer record, credit file, or regulatory filing is traceable to its exact location in the source document, giving compliance and audit teams the defensible evidence trail that examiners require.
Accuracy That Scales with Volume
Unlike template-based OCR, agentic extraction handles the full variability of real-world banking documents — inconsistent layouts, handwritten annotations, multi-page tables — without retraining or manual exception handling.
Built for Complex Banking Documents
Intelligent document processing across retail banking, commercial lending, commercial real estate, and trade finance is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. Then add multiple languages, handwriting, photographs, scans and faxes to the complexity.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Use cases
Loan Origination & Underwriting
Extract borrower identity, income, asset, and liability data from loan applications, tax returns, pay stubs, bank statements, and property appraisals to support credit decisions.
Accelerate time-to-decision on loan applications, reducing application abandonment
Cut manual data entry and document review hours per file
Reduce credit risk by ensuring complete, consistently extracted borrower data
Customer Onboarding & KYC
Automate the collection and verification of identity, entity, and beneficial ownership data across government-issued IDs, articles of incorporation, ownership certificates, and certified financial statements.
Shrink time-to-revenue on new accounts by accelerating onboarding cycles
Reduce the cost of manual KYC review across high-volume retail and commercial onboarding
Strengthen AML and financial crimes controls with complete, traceable customer records
Commercial Credit Review
Analyze financial statements, credit memoranda, covenant compliance certificates, and borrower-supplied operating reports to monitor portfolio risk across commercial loan books.
Expand analyst capacity to cover more credits without proportional headcount growth
Lower operational cost of periodic review and covenant monitoring
Deliver consistent, documented credit assessments that satisfy examiner and audit requirements
Trusted for Document-Heavy Banking Workflows
Agentic Document Extraction enables banks to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →