Answer Hub · Software & workflow

What does "AI-native" mean in lending software?

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Short answer

"AI-native" describes software built around artificial intelligence as a core function, rather than an existing application with AI features added. There is no standard definition. The label describes architecture, not security or data handling, and it does not say who approves what the AI produces, so a lender should ask before granting access.

What the label means.

Vendors use "AI-native" to say a product was designed around AI from the start: the model sits in the main workflow instead of in a feature added to an older application. The term has no standard definition, so two products with the same label can work very differently. It describes how software is built, in words chosen by the company that sells it.

What it does not tell you.

An AI-native label answers none of the questions a lender's vendor review asks of software that touches a loan file:

  • Who approves the output. Whether a person reviews what the AI drafts or flags before it changes a record or supports a funding decision.
  • How output is checked. Whether each suggestion can be traced to the document, photo or line item it came from.
  • What happens to borrower data. The label describes the design, not how information the AI reads is handled.
  • Whether it fits the use. Whether the product has been tested for the work the lender plans to give it.

The risks of generative AI don't depend on how a product describes itself. NIST's Generative AI Profile (AI 600‑1, July 2024), a voluntary framework, lists data privacy and confabulation, output stated with confidence that is false, among them.

Why it matters for lenders.

A lender stays responsible for the work it hands to a vendor. For banks, the federal banking agencies' Interagency Guidance on Third-Party Relationships (OCC Bulletin 2023‑17, June 2023), which is supervisory guidance rather than law, makes clear that relying on a third party does not diminish a bank's responsibility to operate safely and soundly and to comply with applicable laws. A September 2026 proposal to replace that guidance is not final. Credit unions and private lenders answer to other rules. Treat the label as the start of due diligence, never a substitute for it, and confirm current requirements with counsel.

When AI output supports a funding decision, a reviewer should verify the underlying documents and calculations, whatever the software is called.

How RAZE handles it.

RAZE AI is AI-assisted. Photo Comment Assistance suggests clear, consistent comments for inspection photos, and the inspector decides what is saved. Draw Review Assistance checks draw requests against field evidence, including photos, line-item progress and questionnaire answers, and flags items that need a closer look. The lender's reviewer accepts or rejects each submitted inspection, unless the institution has turned on auto-approve, a workflow setting that moves submitted inspections to Lender Approved without a click rather than an AI decision. RAZE does not approve draws or make lending decisions; funding stays with the lender.

Sources

Primary sources only. Where a figure appears on this page, it comes from one of these.

  1. 1.Artificial Intelligence Risk Management Framework, Generative Artificial Intelligence Profile (NIST AI 600-1, July 2024)National Institute of Standards and Technology · nvlpubs.nist.gov
  2. 2.Third-Party Relationships: Interagency Guidance on Risk Management (OCC Bulletin 2023-17)Office of the Comptroller of the Currency · occ.gov

See the workflow behind the answer.

RAZE standardizes how draw inspections are ordered, dispatched, captured and delivered, inside the loan administration workflow a lender already runs.

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