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Lending operations checklist

How to automate an underwriting workflow: cut small business loan decisions from days to hours

Last updated · Kaaj editorial team

To automate an underwriting workflow, first measure where time goes, which is usually document handling and waiting rather than decisions. Then give every deal one intake channel, classify the product at intake, route each deal to the checks its product and ticket size need, run inexpensive checks before expensive ones, automate verification, fraud, and cash-flow analysis, encode credit policy as pass or fail rules, and keep the file current when new documents arrive. Pilot on a few recent deals and roll out in phases. Kaaj automates this workflow on top of your CRM or LOS, turning a typical package into decision-ready analysis in 5–7 minutes.

The 10-step underwriting workflow checklist

Most lenders get the biggest gain from steps 2 through 5, before any AI analysis runs.

  1. Measure where the time goes

    Track a few recent deals from submission to decision. Most delay sits in sorting documents, chasing missing items, rekeying data, and waiting between handoffs.

  2. Give every deal one intake channel

    Use a dedicated submission address, portal, or API rather than forwarding a whole inbox. Add later documents through the same channel so reply-alls and resubmissions do not create duplicate files.

  3. Classify the product at intake

    Decide whether a deal is equipment, working capital, or another product as soon as it arrives, so the right rules fire. If one application requests two products, track each as its own opportunity.

  4. Set rules by product and ticket size

    Small deals can skip full financial analysis while still getting verification and a credit pull; larger deals add bank statements, spreads, and tax returns. Write these thresholds down.

  5. Run inexpensive checks first

    Secretary of State, web presence, and document fraud checks remove bad files quickly. Hold expensive reports until a deal survives screening or a proposal is accepted.

  6. Automate verification and fraud at intake

    Verify the business and owners and check documents for tampering before an analyst spends time on the file.

  7. Automate the analysis

    Bank-statement cash flow, MCA stacking, financial spreads, and DSCR should be calculated automatically and consistently.

  8. Encode policy as rules

    Turn your credit policy into pass or fail rules so every file gets the same checks and underwriters see exceptions first.

  9. Keep the file current

    When updated statements or a new guarantor arrive, the analysis should rerun on the same deal. Treat renewals and add-on deals after funding as new opportunities linked to the borrower.

  10. Pilot, then roll out in phases

    Run a few recent deals and compare with your team's write-ups. Then start with one channel or product, such as portal intake before CRM integration, and expand.

Routing rules and reruns in practice

Each deal gets the checks its product and size require, and new documents update the same file instead of starting a new one.

Routing rules · which checks run

Equipment · under $75K

KYBCredit pullInvoice checkFraud

Equipment · $75K–$500K

KYBCredit pullInvoice checkFraud3 mo. statementsDSCR

Working capital · any size

KYBCredit pullFraud4–6 mo. statementsStacking

Any product · over $500K

All of the aboveFinancial spreadsTax returnsFull memo

Deal activity · Northwind Freight LLC

  1. 09:12Broker email received · classified as Equipment · $240K
  2. 09:18KYB, credit, invoice, fraud, statements, and DSCR complete · 1 exception
  3. 14:05August statement added to the same deal
  4. 14:06Cash flow and DSCR rerun · memo updated · no new file created
Illustrative rules and deal activity. Thresholds and products are examples, not a recommended credit policy.

Where underwriting time goes and what to automate

StageManual workAutomated
IntakeOpening emails, downloading and renaming files, finding missing documentsDocuments split, classified, named, and checked for completeness
Data entryRekeying application fields into the CRM or LOSFields extracted and written to the system of record
VerificationSearching state records, websites, and IDs in separate tabsBusiness, owner, and document checks run in minutes
Cash flowReading statements line by line in spreadsheetsTrue revenue, balances, NSFs, debt payments, and stacking calculated
FinancialsSpreading statements and tax returns by handSpread into your model with ratios and DSCR
Policy and memoChecking rules and writing the memo from scratchRules applied and a draft memo written for review

How to stop duplicate deal files

CauseFix
Reply-all and forwarded threadsIngest from a dedicated submission address and match attachments to the existing deal
Same deal sent through two channelsPick one channel per deal and add later documents through it
Generic subject linesMatch on business name, EIN, and contacts, not the email subject
Resubmitted packagesFlag duplicate documents instead of creating a new file
Renewals after fundingOpen a new opportunity linked to the borrower rather than reopening the funded deal

Questions to ask any underwriting automation vendor

Can rules differ by product and ticket size?

Ask to see a small-ticket deal skip checks a large one requires.

What happens when a document is added?

The analysis should update on the same deal. Ask whether it reruns automatically.

How are duplicates prevented?

Send the same deal twice and see what happens.

Can expensive checks wait?

Credit and background reports should run only when a deal reaches that stage.

Can we start small?

Intake only, one product, or portal before CRM integration.

Frequently asked questions

How do you reduce loan underwriting turnaround from days to hours?

Remove the manual work before the decision: automate intake, document sorting, verification, fraud checks, and cash-flow analysis, and apply credit rules automatically so underwriters review exceptions. Most of the time saved comes from handling documents, not from deciding faster.

Can small deals skip bank statement and financial analysis?

Yes, if your policy allows it. Set rules by product and ticket size so small deals get verification and a credit pull, and larger deals add bank statements, spreads, and tax returns. Kaaj applies these rules per deal.

How should lenders ingest broker emails without forwarding the whole inbox?

Use a dedicated submission address or portal for deals, and have brokers send later documents to the same place. The system should match new attachments to the existing deal rather than create a new file.

Does analysis rerun when new documents are added to a deal?

It should. In Kaaj, new files added to an existing deal update the analysis, and a new guarantor or vendor can be re-checked from the CRM without starting over.

How do you route equipment and working-capital deals to different rules?

Classify the product at intake from the application and documents, then apply that product's checklist and rules. If one application covers both, track each product as a separate opportunity.

Should expensive credit and background reports run on every application?

Usually not. Run inexpensive checks first and hold costly reports until a deal passes screening or a proposal is accepted.

How do you pilot AI underwriting against your current process?

Pick a few recent deals, including messy ones, run them through the tool, and compare the output and time with your team's own write-ups for the same files.

Do we have to replace our LOS to automate underwriting?

No. An underwriting layer such as Kaaj works on top of Salesforce, HubSpot, LeasePath, or your LOS and writes results back, so you can start with intake only and expand.

Automate the work before the decision

Kaaj routes each deal to the right checks, verifies and analyzes it, applies your rules, and keeps it current as documents arrive, in 5–7 minutes per typical package.

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