nCino adds automated document income checks to mortgages

nCino has launched a document-based income verification tool for its mortgage software. It adds automated analysis of paystubs and W-2 forms for cases where lenders cannot access payroll or bank account data through direct connections.

The feature, called nCino Doc VOI powered by Argyle, is embedded in the nCino Mortgage Solution and targets banks, credit unions and independent mortgage lenders. It addresses a common underwriting bottleneck, where teams review documents line by line and re-key figures into loan files.

In recent years, income verification has shifted toward direct-source data feeds, where borrowers grant permission for lenders to connect to payroll systems and bank accounts. Those connections can provide real-time information that meets verification requirements in many cases. However, they do not work for every borrower or every file.

When a direct feed is unavailable, underwriters typically rely on applicant-supplied documents such as paystubs and W-2s. That approach can slow processing and increase operational costs, especially during high-volume periods or staffing constraints. It can also lengthen the time between application and decision, a metric lenders watch closely as consumers compare offers across providers.

nCino Doc VOI is designed to remove manual steps from this part of the workflow. The software extracts income data from uploaded documents and runs automated analysis within the mortgage pipeline. The results can feed an income assessment workflow earlier in underwriting.

Freddie Mac link

The tool also integrates with the Freddie Mac AIM Check API, allowing lenders to submit document-derived income data for automated assessment before a full submission to Loan Product Advisor. According to nCino, the document-based approach can also support assessment of representation and warranty relief eligibility tied to the income calculation when submitted to the Loan Product Advisor.

The integration reflects the growing use of APIs and automated checks in mortgage production, as lenders try to balance speed with underwriting requirements set by investors and agencies. Earlier automated assessment can reduce rework later, particularly when initial qualification depends on income stability, overtime patterns, bonuses, or multiple employment sources captured across different document types.

nCino framed the release as an extension of automation beyond cases covered by direct payroll connections. "Income verification remains one of the most operationally intensive steps in mortgage lending," said Casey Williams, General Manager of Global Mortgage at nCino. "nCino Doc VOI lets lenders extend automation across more of their pipeline, qualify borrowers earlier and reduce manual touchpoints without introducing new systems or added complexity."

Argyle described the release as a response to uneven coverage across verification methods. "No single verification method covers every borrower scenario," said John Hardesty, Senior Vice President of Revenue at Argyle. "By bringing Argyle-powered Doc VOI directly into nCino, lenders can extend automation across a much larger share of their pipeline, qualify more borrowers and significantly reduce the manual reviews that slow down operations."

Commercial terms

Existing nCino mortgage customers can activate the feature within the nCino Mortgage Solution and do not need a separate contract with Argyle to use the integrated tool. The setup may simplify procurement for institutions that already run origination workflows through nCino and prefer add-ons inside the same system rather than stand-alone services.

The launch also highlights broader competition among mortgage technology providers to automate eligibility checks and manage borrower data. Lenders increasingly combine direct-source data, document processing and rule-based checks across different stages of underwriting to reduce cycle times and lower cost per loan without changing credit policy.

nCino sells software to financial institutions, including community banks, credit unions, independent mortgage banks and larger global firms. It has also highlighted the use of artificial intelligence across its broader platform, alongside efforts to consolidate multiple systems used in lending and servicing operations.

For mortgage lenders, the immediate value of the update is its coverage of exceptions. Automated payroll connections can reduce friction, but they do not eliminate the need for document handling. As lenders keep a document route available for borrowers whose employers do not support a data connection, or where information must be evidenced through forms, tools that standardise document intake and analysis have become part of the core mortgage technology stack.

The feature integrates with early-stage income assessment through Freddie Mac's AIM Check API and can carry through to the Loan Product Advisor workflow, including areas tied to representation and warranty relief eligibility.