Equipment Finance Underwriting Automation
The underwriting OS for equipment finance.
Kaaj turns broker, dealer, and borrower packages into decision-ready credit analysis in minutes: intake, KYB, invoice review, bank statement analysis, fraud checks, financial spreading, and credit memo preparation in one evidence-backed workflow.
Trusted by equipment finance and SMB credit teams
What is equipment finance underwriting software?
Equipment finance underwriting software prepares a lease or loan file for a credit decision: it reads the broker or dealer package, verifies the borrower and the vendor, checks the invoice and the asset, analyzes cash flow and financials, and drafts the credit memo. Kaaj does this work beside your LOS (LeasePath, LTi Aspire, Salesforce, or your own system) rather than replacing it, applies your credit rules by product and ticket size, and leaves the decision with your underwriters.
Last reviewed by the Kaaj editorial team.
Why Equipment Finance Needs This
Small-ticket economics break when every file is still manual.
The best equipment finance teams do not lose because they lack credit judgment. They lose because the work before judgment is slow: incomplete submissions, inconsistent broker packages, scattered invoice details, manual KYB, bank statement review, fraud checks, and memo preparation.
For a $50K or $100K deal, that prep work can cost nearly the same as a much larger transaction. Kaaj makes the package ready for underwriters faster so the team can protect judgment while improving speed, margin, and broker experience.
What Kaaj Automates
One intelligence layer across the equipment finance package.
Kaaj is not another static checklist. It reads the package, gathers evidence, reasons across documents, and prepares underwriters for the decisions that still require human judgment.
By Deal Type
What Kaaj checks on each kind of equipment deal.
Checklists and credit rules are set by product and ticket size, so an application-only deal is not held to the same file as a mid-ticket deal with full financials.
| Deal type | Typical inputs | What Kaaj does |
|---|---|---|
| Application-only small ticket | Credit application, invoice, and sometimes bank statements | KYB in all 50 states, soft credit pull, invoice and vendor checks, fraud checks, and pass/fail credit rules, so clean files reach a decision quickly and exceptions go to an underwriter with reasons. |
| Mid-ticket with financials | Financial statements, tax returns, bank statements, invoice, and guarantor information | Everything above plus financial spreading into your Excel model, DSCR with the proposed payment and an editable debt schedule, and a credit memo drafted in your committee template. |
| Trucking and transportation | Application, truck or trailer invoice, bank statements, and carrier details | VIN decode for make, model, year, and NHTSA class; price check against Truck Paper and similar listings; SAFER report for USDOT status, operation type, and fleet details on the borrower. |
| Vendor and dealer programs | Dealer-submitted packages, often incomplete or combined into one PDF | Splits and classifies the package, flags missing documents, verifies the dealer or vendor like a borrower, and returns a clean file before credit review starts. |
Invoice, Asset, And Vendor
Check the equipment before you fund it.
Line items
Every line on the invoice is extracted: equipment, attachments, freight and delivery, installation, taxes, fees, warranties, deposits, and trade-ins.
Hard vs. soft costs
Each line is classified as hard cost (the equipment itself) or soft cost (taxes, titling, delivery, installation, fees, warranties) so the funded amount is clear.
VIN and asset details
VINs and serial numbers are extracted and decoded for make, model, year, and NHTSA vehicle class.
Market price check
The invoice price is compared with online listings such as Machinery Trader, Truck Paper, and Ritchie Bros to flag prices materially outside the market range.
Vendor verification
The vendor gets the same checks as the borrower: Secretary of State status, time in business, registered agent, address, and web presence.
Trucking checks
For trucking and construction borrowers, the SAFER report adds USDOT status, operation type, and fleet details.
Consistency
Buyer name, billing and ship-to addresses, and amounts are compared with the application and the requested loan amount; mismatches are flagged.
System sync
Vendor, amounts, line items, and asset records are written to LeasePath, Salesforce, or your LOS without rekeying.
Step by step: how to verify an equipment invoice.
Hard Vs. Soft Cost
What is financed, and what reduces it.
Hard cost
The equipment or vehicle itself, and attachments that are part of the asset.
Usually the core of the funded amount and the collateral.
Soft cost
Sales tax, titling and registration, freight and delivery, installation, training, warranties, service contracts, software licenses, and fees.
Many programs cap soft costs as a percentage of the deal; your policy decides.
Credits and deductions
Deposits, down payments, trade-in allowances, and rental credits.
Reduce the amount financed and must reconcile to the requested loan amount.
Operating Model
From dealer submission to decision-ready credit view.
The goal is not to skip underwriting. The goal is to stop making underwriters discover basic package problems, chase evidence, and reassemble context before they can apply judgment.
01
Receive the package
Forward an email thread, upload files, connect a drive, or send the package through API. Kaaj accepts the messy reality of broker and dealer submissions.
02
Normalize the deal
Applications, invoices, bank statements, IDs, voided checks, SOS evidence, and supporting documents are classified and organized into a lender-ready package.
03
Verify the business
Kaaj compares borrower-provided data against entity, address, ownership, web presence, and document evidence so underwriters are not discovering basic KYB gaps late.
04
Analyze repayment signals
Bank statements are reviewed for revenue quality, average daily balance, NSFs, overdrafts, transfers, existing funder debits, and cash flow trends.
05
Surface risk and exceptions
Fraud signals, missing evidence, name mismatches, stale documents, invoice inconsistencies, and policy exceptions are routed for human judgment.
06
Produce the credit view
Kaaj creates structured deal data, evidence-backed findings, and a credit memo that can sync to Salesforce, LOS, CRM, or downstream review workflows.
Category Comparison
Loan origination systems record the deal. Kaaj prepares the deal.
Equipment finance software often focuses on application workflow, booking, servicing, or portfolio operations. Kaaj focuses on the unstructured intelligence work that happens before a credit team can make a clean decision.
Manual underwriting prep
Traditional LOS
Kaaj intelligence layer
Works With Your LOS
Keep your equipment finance system of record.
LeasePath
Overlay beside the Dynamics-based LeasePath LOS: the credit file, memo, exceptions, and evidence write into the deal record.
LTi Aspire
Intake can start in Salesforce; extracted credit data and decision artifacts write into Aspire.
Salesforce and Microsoft Dynamics
Findings, memo fields, and files write to the objects you map, triggered by API, webhook, button, or email.
Solifi
Coexistence guide for a Kaaj layer beside Solifi. There is no certified Solifi connector; handoffs are scoped per lender.
Other LOS
REST API in, JSON webhook out when analysis finishes, so your team maps the fields into any origination system.
Where Kaaj Stops
What stays with your team and your other systems.
Credit decision
Kaaj: Kaaj prepares the file, applies your rules, and shows which are met or not met.
Stays with you: Your underwriters and credit committee approve, decline, or counter.
System of record
Kaaj: Kaaj is the intelligence layer before and around the LOS.
Stays with you: LeasePath, Aspire, Solifi, or your LOS books, documents, funds, and services the deal.
Collateral value
Kaaj: Kaaj checks whether the invoice price is reasonable against online market listings and flags outliers.
Stays with you: Appraisals, residual and end-of-term values, and net book value come from your appraiser or valuation provider.
Built For The Market
The equipment finance teams Kaaj serves.
Independent equipment finance companies
Increase deal throughput without making analyst headcount the bottleneck.
Small-ticket lenders
Make $15K-$150K deals easier to review profitably and consistently.
Vendor and dealer finance teams
Turn dealer submissions into structured credit packages before delays cost the sale.
Broker-driven origination
Reduce back-and-forth by checking package quality before credit review starts.
Customer Voices
Equipment finance teams already use Kaaj to move faster.
“Kaaj's AI agents have become a force multiplier for our operations, streamlining intake and credit workflows, eliminating manual data entry, and empowering our team to respond to partners faster and more consistently. The result: a sharper, more reliable experience at every touchpoint”
“Kaaj AI agents streamlined our origination and underwriting workflows, saving our sales and credit teams hours and enabling them to focus on higher-value tasks.”
Equipment Finance Resource Hub
Read the operating playbook behind the page.
This page anchors a broader equipment finance content cluster built around package quality, small-ticket economics, credit signals, KYB, fraud, and the future operating model for lenders.
Package quality and broker handoffs
Small-ticket economics
Credit signals and decision quality
Customer video
Eagle Crusher: 45–50 minutes saved on every equipment deal
Shawn Jury, Director of Sales & Financial Services at Eagle Crusher, a 100-year-old equipment manufacturer with its own financial services division, on choosing Kaaj instead of hiring another processor. Kaaj spreads financial statements, analyzes bank statements, pulls comps, credit, SAFER and Secretary of State records, and writes the deal up, saving 45–50 minutes per deal.
In this video
- Hire a processor, or add AI?
- 45–50 minutes saved per deal
- Comps, credit, and online research
- Bank and financial statement analysis
- What he tells other lenders
- One extra deal a month pays for it
Equipment Finance FAQs
Direct answers for lenders evaluating underwriting automation.
Does Kaaj verify equipment invoices?
Yes. Kaaj extracts every line item, separates hard from soft costs, decodes VINs and serial numbers, compares the price with online market listings, verifies the vendor like a borrower, and flags mismatches with the application before an underwriter opens the file.
Does Kaaj appraise equipment or forecast residual values?
No. Kaaj checks whether the invoice price is reasonable against online market listings and flags outliers. Formal appraisals, residual values, and net book value still come from your appraiser or valuation provider.
Can Kaaj calculate DSCR for equipment finance deals?
Yes. Kaaj calculates DSCR from bank statements, tax returns, and financial statements the way your policy defines it, including the proposed equipment payment and an editable debt schedule.
What counts as hard cost versus soft cost in equipment financing?
Hard cost is the equipment or vehicle itself. Soft costs are everything else on the invoice that is not the asset: sales tax, titling, freight and delivery, installation, training, warranties, service contracts, software licenses, and fees. Many programs cap soft costs as a share of the deal, so Kaaj classifies every invoice line as hard or soft and your policy sets the limit.
What happens when the invoice amount does not match the requested loan amount?
Kaaj reconciles the invoice total, deposits, trade-ins, and credits against the amount on the application and flags the difference with the lines that cause it, so the underwriter or broker can correct the structure before approval rather than at funding.
Can equipment lenders approve application-only deals faster?
Yes, when the rules are explicit. For application-only small-ticket deals, Kaaj runs KYB, a soft credit pull, invoice and vendor checks, and fraud checks, then applies your pass/fail rules for that product and ticket size. Clean files are ready for a quick decision; exceptions go to an underwriter with the reason attached.
How does Kaaj help underwrite trucking and transportation deals?
Kaaj decodes the VIN for make, model, year, and NHTSA vehicle class, checks the price against listings such as Truck Paper, and adds the SAFER report for the borrower's USDOT status, operation type, and fleet details. It does not appraise the truck or forecast its residual value.
Which equipment finance systems does Kaaj work with?
Kaaj runs as an overlay beside LeasePath and LTi Aspire, and writes to Salesforce, Microsoft Dynamics, and HubSpot. For Solifi there is a coexistence guide but no certified connector. Any other LOS can receive results through the REST API and a JSON webhook when analysis finishes.
How is equipment finance underwriting software priced?
Kaaj pricing depends on workflow scope, application volume, products, and integrations, with pilot and usage-based structures. Ask for a quote based on your monthly applications and the steps you want automated.
What AI credit memo software fits equipment finance companies?
Kaaj drafts the credit memo in your own template after reviewing the full equipment file: KYB, credit, bank statements, financial spreads with an editable debt schedule, invoice line items and VIN, and your credit policy. Every spread number links to its source PDF line, and the memo syncs to LeasePath, Salesforce, or your LOS.
Does Kaaj write the credit memo for every equipment deal?
Yes, as a first draft. Kaaj verifies the package, analyzes cash flow and financials, applies your policy, and writes a first draft in your committee format in 5–7 minutes, so underwriters edit exceptions and apply judgment instead of rebuilding each memo.
What is equipment finance underwriting automation?
Equipment finance underwriting automation is software that prepares an equipment finance package for credit review by organizing documents, verifying the business, extracting invoice and bank statement data, surfacing fraud signals, and drafting credit-ready analysis. It should support underwriters rather than make black-box credit decisions.
How is Kaaj different from a loan origination system for equipment finance?
A loan origination system is usually the system of record for applications, decisions, stipulations, approvals, and booking. Kaaj is the intelligence layer before and around the LOS: it turns unstructured borrower packages into verified, analyzed, evidence-backed credit inputs that can sync into existing systems.
What documents can Kaaj process in an equipment finance package?
Kaaj can process applications, invoices, bank statements, IDs, voided checks, Secretary of State evidence, tax returns, financial statements, supporting PDFs, images, spreadsheets, and broker or dealer summaries. The system classifies, extracts, checks completeness, and links findings back to source evidence.
Why does small-ticket equipment finance need a different operating model?
Small-ticket deals often require the same intake, KYB, invoice review, bank analysis, fraud checks, and credit memo work as larger transactions. If that work stays manual, the cost of review can erase the economics of the deal. Automation makes smaller deals more profitable without removing underwriter judgment.
Can Kaaj help with broker and dealer submissions?
Yes. Kaaj is designed for broker-driven and dealer-driven origination where files arrive incomplete, inconsistently named, or spread across emails and attachments. It checks package hygiene, flags missing items, validates business evidence, and creates a cleaner handoff for credit teams.
Does Kaaj analyze bank statements for equipment finance lenders?
Yes. Kaaj analyzes deposits, transfers, NSFs, overdrafts, negative balance days, average daily balance trends, recurring funder debits, and potential MCA stacking exposure. It separates operating revenue from non-revenue activity so repayment capacity is easier to review.
Can Kaaj detect fraud signals before credit analysis?
Kaaj is designed to surface fraud and anomaly signals early, including document tampering indicators, mismatched business names, address inconsistencies, unusual statement patterns, suspicious web presence, duplicate evidence, and invoice or application mismatches.
Does Kaaj replace equipment finance underwriters?
No. Kaaj prepares the evidence, analysis, and memo context so underwriters can spend more time on judgment, exceptions, collateral, structure, and policy fit. Outputs are reviewable, editable, and source-linked.
How fast can Kaaj turn a package into structured analysis?
Kaaj is built to turn raw borrower packages into structured credit analysis in under five minutes for many workflows, depending on package size, source documents, and connected systems.
Can Kaaj integrate with Salesforce, LOS, or CRM systems?
Yes. Kaaj can connect with Salesforce, LOS platforms, CRMs, email inboxes, shared drives, REST APIs, webhooks, and SSO/SAML. The goal is to layer intelligence into the current workflow rather than force a rip-and-replace migration.
See Kaaj process an equipment finance package end to end.
Bring a recent broker or dealer package. We will show how Kaaj turns it into structured evidence, risk signals, bank statement analysis, and credit memo context.
Book a demoAlso exploring broker package workflows? See Kaaj for brokers.