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National Loan Provider launches DSCR term sheets inside ChatGPT

9 hours ago
By AI, Created 13:16 UTC, Oct 08, 2026, AGP -

National Loan Provider says investors can now request an indicative DSCR term sheet inside ChatGPT for 1–4 unit, non-owner-occupied rental deals and get it by email as a PDF. The tool is free, does not trigger a hard credit pull, and is meant to speed up early underwriting on business-purpose loans.

Why it matters: - Real estate investors can now get written, deal-specific DSCR terms in the same chat where they first describe the property. - The workflow is designed to reduce back-and-forth before an appraisal and help investors quickly see whether a rental deal may fit current lending programs. - The tool covers business-purpose financing only, which keeps the output focused on investor loans rather than consumer mortgages.

What happened: - National Loan Provider launched Instant DSCR Term Sheet inside ChatGPT as a searchable tool named "Instant DSCR Term Sheet." - Investors can describe a 1–4 unit, non-owner-occupied investment property in plain English and receive an indicative term sheet by email as a PDF. - The same tool is also available in Claude as a connector and through the company website at Instant Term Sheet setup and access. - National Loan Provider said the experience is free and does not require a hard credit pull.

The details: - The term sheet can include the note rate, origination options where the program allows them, monthly payment, debt service coverage ratio, prepayment terms, lender fees, the assumptions behind the terms, the rate sheet date used for pricing, and an expiry date. - The company prices each term sheet against current wholesale rate sheets and program guidelines. - A priced term sheet remains valid until the rate sheet it was based on expires, up to seven days after that sheet was last confirmed. - Deals that fit current programs can receive terms right away. - Deals that need review receive written terms within 24 hours, plus a plain-language list of what could not be confirmed. - The output is indicative only and is not a commitment to lend. - Final terms are set at rate lock. - To use the tool, investors search for "Instant DSCR Term Sheet" in ChatGPT, add the connector in Claude, or use the form on the website. - Users are asked to provide the property’s full address, purchase price or value, loan amount, monthly rent, taxes and insurance. - The assistant requests any missing information. - Users must confirm the loan is for business purposes on a non-owner-occupied investment property. - Requests outside the stated scope are not priced. - The scope excludes owner-occupied homes, second homes and consumer-purpose loans. - The company also published a full explainer.

Between the lines: - National Loan Provider is betting that more investors will start financing conversations inside AI tools, then want a written answer instead of a verbal estimate. - Dominick Prevete said the product was prompted by an AI agent calling about a deal and asking for a full loan package by email. - Prevete said investors need the actual structure in writing, not a ballpark. - Prevete also said the tool does not guess on deals that do not fit a box; a person writes the terms in those cases. - The move positions National Loan Provider to capture earlier-stage deal screening, before investors spend money on appraisal or deeper underwriting.

What's next: - Investors can start using the tool now through ChatGPT, Claude or the company website. - National Loan Provider says deals that fit the program should receive instant terms, while more complex requests should be reviewed within 24 hours. - The company says final loan terms will still be determined later at rate lock, after the indicative term sheet stage.

The bottom line: - National Loan Provider is trying to make DSCR screening faster by putting an indicative loan quote directly inside AI chat tools, with email delivery of the written terms.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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