Equipment finance underwriting automation
vishwa.ai spreads statements or bank statements, reads the equipment cost from the invoice, computes DSCR and loan-to-value, and drafts the decision file.
Documents received
- Vendor quote or invoiceSpread
- Business tax returnsSpread
- Financial statementsSpread
- Business bank statementsSpread
- Guarantor tax returnsSpread
- Equipment schedule for multi-unit dealsSpread
Computed for the memo
Exceptions verified by our credit experts
Every figure links to its source line. Your credit team makes the decision.
Sample deal: two excavators for a site contractor
| Line item | Amount |
|---|---|
| Equipment cost | 486,0001 |
| Down payment | (48,600)2 |
| Amount financed | 437,400 |
| Loan-to-value on cost | 90.0% |
| Average monthly deposits, 6 months | 212,0003 |
| Cash flow available for debt service | 318,0004 |
| Existing debt service | 96,0004 |
| New equipment payment, 60 months | 102,0002 |
| Total debt service | 198,000 |
| DSCR | 1.61x |
Same rigor, a fraction of the time
With a full audit trail your auditors, examiners, and LPs can inspect.
- Faster deal closure
- 75%
- Reduce time from document intake to credit committee
- Accuracy with expert review
- 100%
- AI extracts, domain experts verify every output
- Audit trail coverage
- Full
- Every decision linked to source documents
The problem
Where equipment underwriting loses time
How it works
How vishwa.ai automates it
The analysis
The numbers on the credit memo
Frequently asked questions
Still deciding? Talk to our team.
Can vishwa.ai underwrite equipment loans and leases?
Yes. Vishwa AI spreads the borrower's statements, returns, and bank statements, computes DSCR, reads the equipment detail and cost from the vendor quote or invoice, calculates loan-to-value, and drafts the decision file in your template.
Can vishwa.ai underwrite from bank statements when financial statements are not available?
Yes. Bank statements are read into monthly deposits and balances, so a smaller borrower's cash flow can be assessed from the statements they have. Our experts verify unclear pages.
How does vishwa.ai capture equipment details?
The equipment description, quantity, and cost are read from the vendor quote or invoice, including multi-unit schedules, and loan-to-value is calculated against your advance policy.
Does vishwa.ai work for both small-ticket and larger equipment deals?
Yes. You set a template per ticket size, so a small deal gets a short decision summary and a larger deal gets a full spread with guarantor cash flow.
Is AI underwriting auditable and explainable?
Yes. Every figure links to the source document and the calculation behind it, so when an examiner, an auditor, or an LP asks how you got a number, you can show them in one click. Vishwa AI applies the same logic to every deal and keeps a complete audit trail, which is usually the part manual spreading cannot reproduce six months later.
How accurate is the extraction, and is there human review?
AI extracts, our experts verify, and your analysts review the exceptions. In practice that turns a multi-day spreading exercise into a quick validation, with people focused on the cases that need judgment rather than re-keying a T-12 into Excel.
Keep exploring
Related
Run an equipment deal through on a call
Bring a vendor quote and the borrower's statements or bank statements. We will spread them, compute DSCR and LTV, and draft the decision file.
