Consumer & SMB Lending
Illustrative scenario

Your Underwriters Are Data Assemblers Right Now. That's the Queue Problem.

At a Series B online SMB lender with an 8-day decision queue, the bottleneck usually isn't credit judgment — it's the time underwriters spend pulling Plaid cash flow data and Experian bureau reports by hand before they can exercise any judgment at all. When 40% of an underwriter's day is data retrieval, the queue extends not because the team is too small but because too little of their time is spent doing the work they were hired to do.

Up and running in ~5 wkFor: VP Credit / Chief Credit Officer
Estimate your payback
~3 mo
Payback period
$300K
Est. savings / year
+$220K
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

What's Actually Driving the 8-Day Queue

SMB term loan underwriting at this stage typically runs on nCino, with Plaid for cash flow verification and Experian for bureau data. In practice, assembling a credit memo means the underwriter manually initiates Plaid pulls, waits for bureau data to return from Experian, drops both into nCino in the right fields, runs ratio calculations, and formats the memo to your internal standard — before touching the actual credit analysis. Multiply that across a daily queue, factor in data latency from each provider, and 8-day decisions aren't surprising. They're the predictable output of a workflow that treats underwriters as data coordinators.

An Agent That Handles Data Assembly, Not Credit Judgment

The agent is built around your underwriters' nCino credit memo assembly pattern — not a generic template. It orchestrates Plaid cash flow ingestion and Experian bureau pulls automatically when a new application enters the queue, runs the ratio calculations your team uses, and delivers a pre-populated nCino memo to the underwriter. The underwriter opens a memo that is already assembled and ready for analysis, not a blank template waiting for data. Credit decisions remain entirely in the hands of your team — the agent eliminates data work, not judgment. The full workflow is typically live in about five weeks, and the queue impact is visible within the first reporting period.

What Faster Decisions Are Worth at a Growing Lender

Cutting time-to-decision from 8 days to 3-4 days has a direct revenue mechanism at a lender still growing its book. Faster decisions mean faster funding, and faster funding means better conversion: SMB borrowers shopping multiple lenders are more likely to close with the lender that moves quickly. At a $50M-$200M loan book, even a modest improvement in conversion rate among in-process applications is worth more than the cost reduction from eliminated data assembly labor. The $200,000-$400,000 in annual underwriting operations labor that currently goes to data retrieval can either be redirected to increased application volume or right-sized as the book grows — without the queue extending proportionally.

Works with
nCinoPlaidExperianSnowflakeSalesforce Financial Services CloudDocuSign
Questions

Does the agent touch credit decisions or approval logic, or only data assembly?

Only data assembly. The agent retrieves Plaid and Experian data, populates the nCino memo, and runs the ratio calculations your team already uses. Every credit decision and approval action is made by your underwriters, not the agent.

What happens when Plaid or Experian returns incomplete or flagged data?

The agent surfaces data quality issues in the memo rather than proceeding to assemble an incomplete package. The underwriter is notified with a specific flag indicating which data source returned an issue and what follow-up is needed before the memo can be finalized.

Related use cases

Illustrative scenario for financial services, banking & insurance. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

Want this running in your business?

We'll scope an agent for this on a free 15-minute call.

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