Lender's operations checklist
How to automate loan document intake: a checklist for commercial and SMB lenders
Last updated · Kaaj editorial team
To automate loan document intake, capture every channel brokers and borrowers already use (email, portals, API, cloud drives, and zip files), split combined PDFs into individual documents, classify each one, rename files to a single convention for audit, check the package against a checklist for the deal type including signatures, flag duplicates and low-confidence handwritten fields for review, let users correct misreads in place, and sync the result to your CRM or LOS. Keep paper and email intake running alongside digital applications during rollout. Kaaj does this for commercial, SMB, equipment-finance, and MCA packages, classifying 40+ document types and processing a typical package in 5–7 minutes.
The 10-step intake automation checklist
Work through these before choosing a tool, then test every step on your own messiest submissions.
Map every intake channel
List how deals really arrive: broker emails, vendor portals, API partners, shared drives, zip files, download links, and paper. Automation that covers only one channel leaves the rest manual.
Keep old channels live during rollout
Run paper, email, and digital applications side by side, and route each by channel or subject line, so nothing is lost while teams adjust.
Split combined PDFs
Brokers often send one file containing the application, statements, returns, and invoices. The tool should split it into individual documents before classifying.
Classify against your document list
Define the document types you care about and confirm each is recognized, including business and personal tax returns, interim financials, invoices, IDs, and voided checks.
Standardize file names
Pick one naming convention (business, document type, period) and apply it automatically, so files stay consistent for audit, securitization, and search without anyone renaming by hand.
Check completeness and signatures
Compare each package with the checklist for its deal type and flag missing documents and unsigned applications before underwriting starts.
Treat handwriting with confidence scores
Handwritten dealer applications are common. Low-confidence fields should be flagged for a person to confirm rather than silently accepted.
Catch duplicates
Flag the same statement sent twice, resubmitted packages, and duplicate applicant records instead of overwriting or double-filing them.
Make corrections easy
When a field is misread, a user should fix it in place and see downstream results update, without re-uploading or using a chat workaround.
Sync to the system of record
Create or update accounts, contacts, opportunities, and asset records in your CRM or LOS, with documents attached, so underwriters never re-key data.
What automated intake looks like
One broker email with a combined PDF, a phone photo, and a zip becomes a named, complete deal file, with the duplicate, the missing voided check, and a low-confidence handwritten field called out.
Broker email · 5 attachments
“New deal: Northwind Freight, see attached”
- 48 pages
- phone photo
- 6 files
- 31 pages
- 2 pages
Organized deal file
split · classified · renamed · checkedOperational questions to ask every vendor
These come up in almost every evaluation. Test them on real files, not samples.
| Question | What good looks like |
|---|---|
| Can it split mixed giant PDFs and flag duplicates? | Combined files split into documents; duplicates flagged in the portal rather than filed twice |
| What file types and archives are accepted? | PDFs, scans, photos, spreadsheets, and zip archives handled without manual unpacking |
| What about very large submissions? | Confirm maximum file size and page count, and how large audited financial statements are handled |
| Can it ingest links, not just attachments? | Ask whether download links from brokers or secure-email portals can be retrieved, or must be downloaded first |
| How are handwritten applications handled? | Fields parsed with confidence scores, low-confidence fields sent for review, and signatures checked |
| How are misreads corrected? | In-place editing that updates downstream analysis |
| Can OCR of IDs and voided checks reach the CRM? | License and account details written to CRM fields for contract generation without a second tool |
| How long does a full package take? | Minutes, not hours; ask for timing on your own files |
Manual intake vs. automated intake
| Task | Manual | Automated |
|---|---|---|
| Download and sort attachments | Analyst opens each email and zip | Captured automatically from every channel |
| Split combined PDFs | Page-by-page in a PDF editor | Split and classified on arrival |
| Rename files | Varies by person | One convention applied to every file |
| Check for missing documents | Checklist on paper or memory | Checked against the deal-type checklist instantly |
| Enter data into the CRM | Re-keyed by hand | Written to accounts, contacts, opportunities, and assets |
| Spot duplicates | Noticed by chance | Flagged automatically |
Frequently asked questions
How do document intelligence tools parse handwritten dealer credit applications?
They read handwriting like printed text but attach a confidence score to each field. Low-confidence fields should be flagged for a person to confirm, and the tool should check whether the application is signed. Kaaj parses handwritten applications with confidence flags and signature checks.
Will the system split mixed giant PDFs and flag differently named duplicates?
It should. Kaaj splits combined PDFs into individual documents, classifies and renames each, and flags duplicates even when files are named differently.
How do you enforce consistent file naming for audit and securitization?
Define one naming convention and let the intake tool apply it to every file automatically, organized into deal folders. Kaaj renames files to your convention so names stay consistent without manual work.
What file types can a submission API accept, and how are zip folders handled?
Look for PDFs, scans, photos, and spreadsheets, with zip archives unpacked automatically. Kaaj accepts submissions by API, email, portal, cloud drives, and zip archives.
Can OCR of driver's licenses and voided checks land in Salesforce for contract generation?
It is possible when OCR and CRM sync live in one tool. Kaaj extracts driver's license and voided-check details with the rest of the application and can write extracted fields to Salesforce or your LOS; confirm the exact field mapping your contract templates need during setup.
Can paper, PDF, and email intake stay live alongside digital applications?
It should during and after rollout. Kaaj processes email, portal, API, and scanned paper submissions side by side, with low-confidence flags on handwritten fields.
What is typical processing time for a full loan package?
Automated intake should take minutes. Kaaj processes a typical application package in 5–7 minutes, including classification, extraction, verification, and analysis.
What should we ask about very large or password-protected submissions?
Ask for the maximum file size and page count, how large audited financials are handled, and whether secure-email or broker download links can be retrieved automatically or must be downloaded first. Test these on your own files during the pilot.
Automate intake without changing how brokers send deals
Kaaj captures every channel, splits and classifies 40+ document types, flags what is missing, and syncs clean data to your CRM or LOS.