AI underwriting for commercial real estate (CRE)
The workflow, in one system
- 1
Extract
- 2
Normalize
- 3
Compute CRE metrics
- 4
Size and memo
- 5
Monitor
The problem
What slows commercial real estate lending down
Rent rolls come in every format
Every borrower's rent roll and operating statement looks different, and re-keying them into a model is slow and error-prone.
Metric calculations vary deal to deal
NOI, cap rate, DSCR, and debt yield get computed inconsistently across analysts and property types.
Scanned and photographed documents
Property packages arrive as scans and photos that standard tools can't reliably read.
Slow to size and screen deals
Manual underwriting limits how many deals a team can evaluate.
How it works
How vishwa.ai automates it
- 1
Extract
AI reads rent rolls, operating statements, and leases, including scans and photos, and structures them. Our experts verify the exceptions.
- 2
Normalize
Line items are mapped to a standard chart across property types so deals are comparable.
- 3
Compute CRE metrics
NOI, cap rate, DSCR, debt yield, and LTV calculated to your underwriting standards, with drill-down to the source line.
- 4
Size and memo
Loan sizing and the underwriting memo are generated from the verified figures and source documents.
- 5
Monitor
Ongoing operating statements are ingested to track performance and covenant compliance across the portfolio.
Outcomes
Same rigor, a fraction of the time
- NOI · DSCR
- cap rate, debt yield, and LTV computed automatically from source documents
- 100%
- audit trail, with every figure traceable to the rent roll or statement
- Any format
- scanned, photographed, or digital property documents
Frequently asked questions
What is an underwriting OS?+
An underwriting OS runs the whole credit workflow in one place: document intake, financial spreading, risk analytics, credit memo generation, and portfolio monitoring. Instead of moving a deal between a data room, three point tools, and a stack of spreadsheets, you run it in one system. Vishwa AI applies your underwriting framework and credit policies the same way on every deal, and every output ties back to the source document it came from.
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. Credit businesses run up to 86% straight through, with people focused on the cases that actually need judgment rather than re-keying a T-12 into Excel.
Does vishwa.ai support CRE underwriting and rent rolls?+
Yes. We read rent rolls and operating statements in whatever format the borrower sends, including scans and photos, then calculate NOI, cap rate, DSCR, debt yield, and LTV. Underwriting stays consistent across property types, and every number traces back to the line on the rent roll or T-12 it came from.
Does vishwa.ai have customers?+
Yes. Vishwa AI runs in production at large enterprise clients across banking and private credit. Most of them prefer that we do not name them publicly, so we keep those relationships confidential. The product is mature and proven in the US market, and we are glad to walk through relevant, anonymized references under NDA on a call.
Who uses vishwa.ai?+
Large banks and private credit firms use Vishwa AI for live underwriting and portfolio monitoring. We do not publish a client list because our customers prefer to keep their use of the platform confidential. It is an established, production grade system in regulated US lending, not a pilot.
Can you share customer references or case studies?+
Our enterprise clients in banking and private credit prefer to stay anonymous, so we do not post named case studies. We can take you through real, anonymized outcomes and arrange references under NDA during a demo. Vishwa AI is a proven product in the US market, with enterprise deployments already in production.
Is vishwa.ai proven, or is it early-stage?+
Vishwa AI is a mature, production grade platform used by large enterprises across US banking and private credit. It is not a pilot stage tool. We keep client names confidential at their request, but the product is proven at scale in regulated US lending.
Underwrite CRE deals from any document
Send a rent roll and operating statement and watch vishwa.ai extract them and compute NOI, cap rate, DSCR, and LTV, all traced to source.
