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Document Intelligence

Loan document intelligence: every file split, classified, and extracted.

Kaaj ingests deal packages from email, portal, drive, zip, or API, splits combined PDFs, and classifies 40+ lending document types, including handwritten applications. Files are renamed to your convention, missing documents and duplicates are flagged, and the data lands in your CRM or LOS before anyone opens a PDF.

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Document intelligence
Messy files become structured fields
Live workflow
scan_final_v3.pdf
stmt-march.pdf
invoice-photo.jpg
Classified
Application package
Legal nameAcme Supply LLC
Statement periodMar 2026
Ending balance$167,530
Missing docs1 flagged

40+

lending document types classified automatically

5–7 minutes

to process a typical application package end to end

5

intake channels: email, portal, API, cloud drives, and zip archives

One broker email in, one decision-ready deal file out

Real submissions are combined PDFs, phone photos, zips, and duplicates. Kaaj turns them into a clean, named, complete file and tells you exactly what is missing or needs a second look.

Broker email · 5 attachments

“New deal: Northwind Freight, see attached”

  • scan_final_v3.pdf48 pages
  • IMG_2231.jpgphone photo
  • docs (2).zip6 files
  • statements_all.pdf31 pages
  • Fwd_ invoice.pdf2 pages

Organized deal file

split · classified · renamed · checked
  • Northwind_Freight_Credit_Application.pdf

    Handwritten · signed

    Credit application
  • Northwind_Freight_Bank_Statement_2026-06.pdf

    Bank statement
  • Northwind_Freight_Bank_Statement_2026-07.pdf

    Bank statement
  • Northwind_Freight_Bank_Statement_2026-08.pdf

    Bank statement
  • Northwind_Freight_Tax_Return_2025.pdf

    Business tax return
  • Northwind_Freight_Equipment_Invoice.pdf

    Hard cost + delivery split

    Invoice
  • Northwind_Freight_Drivers_License.jpg

    Driver's license
  • Northwind_Freight_Bank_Statement_2026-07 (copy).pdf

    Flagged, not filed

    Duplicate
  • Voided check

    Required for this deal type

    Missing
Handwritten field “Years in business” read as 8 with low confidence · sent for review
Illustrative Kaaj intake result. Business, files, and fields are fictional.

From intake to your CRM, step by step

Every stage runs automatically; people only see the exceptions.

StageWhat Kaaj does
IntakePackages arrive by email forwarding, portal upload, API, Google Drive, Dropbox, or zip archive; paper and handwritten applications can be scanned or photographed.
SplitCombined PDFs are broken into individual documents so one upload becomes a structured deal file.
ClassifyEach document is identified across 40+ lending document types.
Rename and fileFiles are renamed to your naming convention and organized into folders, so names stay clean for audit and securitization.
CompletenessThe package is checked against your checklist for the deal type, and missing documents and unsigned applications are flagged.
ExtractBusiness, owner, EIN, address, loan amount, and document fields are extracted; handwritten fields get confidence flags for human review.
DeduplicateDuplicate files, resubmissions, and duplicate applicant records are flagged instead of silently overwritten.
SyncAccounts, contacts, opportunities, and asset records are created or updated in Salesforce, HubSpot, LeasePath, or your LOS.

40+ lending document types, built for commercial and SMB credit

Not mortgage forms or generic invoices: the documents equipment-finance, MCA, and SMB lenders actually receive.

DocumentWhat Kaaj extracts
Credit applicationsBusiness and owner details, EIN, address, loan request, signatures; handwritten dealer applications included
Bank statementsAccount, period, balances, and every transaction, ready for cash-flow and fraud analysis
Tax returnsBusiness and personal returns standardized for spreading and revenue checks
Financial statementsIncome statements and balance sheets normalized into ratios, including interim statements
Invoices and equipment quotesVendor, line items, hard vs. soft costs, VIN and vehicle class, billing and shipping addresses
Driver's licensesName, date of birth, address, license number, and dates for identity checks
Voided checksAccount holder, bank, and account details for funding and consistency checks
Insurance certificatesInsured business and coverage details
Credit and business reportsKey figures summarized from bureau and business credit reports

Loan-package intelligence vs. general document AI vs. mortgage tools

General document AI platforms are toolkits. Mortgage document tools are built for consumer mortgage files. Kaaj is built for commercial and SMB loan packages, end to end.

KaajGeneral document AIMortgage document tools
Built forCommercial, SMB, equipment-finance, and MCA loan packagesAny document workflow; you build the lending logicConsumer mortgage files
Messy intakeEmail, portal, API, drives, zips; combined PDFs split automaticallyDepends on your integrationMortgage LOS and borrower portals
Handwritten applicationsParsed, with low-confidence fields flagged and signatures checkedVaries by modelVaries
Invoices and equipmentHard vs. soft costs, VIN, vehicle class, addressesGeneric invoice modelsNot the focus
After extractionKYB, fraud checks, cash-flow analysis, and a credit memo in the same workflowStructured data for your own systemsMortgage underwriting and compliance
Where results goSalesforce, HubSpot, LeasePath, or your LOSYour data pipelineMortgage LOS

From chaos to organized

Ingest from email, portal, Google Drive, Dropbox, APIs

AI-powered document classification for 40+ document types

Auto-rename files from "scan_final_v3.pdf" to "2025-01_Chase_Statement_p1-12.pdf"

Detect missing required documents based on deal type and policy

Flag duplicate submissions and resubmissions

Extract key fields: business name, EIN, dates, amounts

Application Package
CLASSIFIED

Business name, EIN, entity type, loan amount, and guarantor. Auto-extracted and verified.

Extracted fields
Legal NameAcme Supply LLC
EIN82-1234567
Entity TypeCorporation (S-Corp)
Loan Amount$480,000

Document intelligence FAQ

What is document intelligence for lenders?

Software that turns a messy loan package into structured data: it receives documents from email, portals, or APIs, splits combined PDFs, classifies each document, extracts the fields underwriting needs, flags missing items, and syncs the result to your CRM or LOS.

What documents can Kaaj process?

40+ lending document types, including credit applications (handwritten ones too), bank statements, tax returns, financial statements, invoices and equipment quotes, driver's licenses, voided checks, insurance certificates, and credit reports.

Can Kaaj split one large PDF into separate documents?

Yes. Combined PDFs are split into individual documents, each classified and renamed, and duplicates within or across submissions are flagged.

How does Kaaj handle handwritten applications?

Handwritten and scanned applications are parsed like digital ones. Fields read with low confidence are flagged for human review, and Kaaj checks whether the application is signed.

How are files named and organized?

Kaaj renames every file to your naming convention and organizes folders by deal, so filenames are consistent for audit, securitization, and search in Salesforce or your document store.

How long does document processing take?

A typical application package is processed in 5–7 minutes, from intake through classification, extraction, verification, and analysis.

Which intake channels are supported?

Email forwarding, a broker or vendor portal, API submissions, Google Drive, Dropbox, and zip archives. Paper, email, and digital applications can run side by side.

Is Kaaj a general document AI platform like Hyperscience or Google Document AI?

No. General document AI platforms are toolkits for any document workflow. Kaaj is built for commercial, SMB, equipment-finance, and MCA loan packages, and carries the extracted data straight into KYB, fraud checks, cash-flow analysis, and the credit memo.

Best document intelligence software for lenders →How to automate loan document intake →Bank statement analysis →Document fraud detection →How to automate an underwriting workflow →AI underwriting implementation plan →

See every document find its place.

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