Credit team checklist
How to automate credit memos without losing your committee format
Last updated · Kaaj editorial team
To automate credit memos, start from your committee template and past memos, not a vendor's sample. Define the sections and fields each business unit needs, make the tool spread financials into your own Excel model and formulas, verify the business, credit, and bank-statement cash flow before anything is written, apply your credit policy as explicit met or not met checks, link every figure to its source, leave judgment and recommendations to underwriters, and test on your own sample deals against memos you already wrote. Kaaj does this for SMB, equipment-finance, and MCA lenders, drafting in your template in 5–7 minutes after setting up within a week.
The 10-step credit memo automation checklist
Work through these before you buy, then prove each one on files your team has already underwritten.
Collect your templates and recent memos
Gather the committee template and a recent set of finished memos. If there is no written template, past memos show the real structure, fields, and tone.
Define memos by business unit and ticket size
A small-ticket screen, a mid-ticket memo covering industry, ownership, and debt schedule, and a long-form committee write-up are different documents. Decide which each unit needs.
Spread into your model, not a generic one
Financial statements and tax returns should land in your Excel spreading model with your line items, add-back rules, and formulas, so ratios match how your policy defines them.
Settle your cash-flow definitions
Write down how you calculate DSCR, global cash flow, and debt service, including personal vs. business debt and related entities, so the tool computes the same numbers your analysts would.
Make the debt schedule editable
Underwriters need to remove paid-off obligations and add the proposed payment before coverage is final. Confirm the tool lets them edit line by line and recalculates DSCR when they do.
Verify before you write
Business verification, credit, bank-statement cash flow, MCA positions, and document fraud checks should run before the narrative, so the memo does not repeat what the application claims.
Turn policy into explicit checks
Encode your credit rules and show each as met or not met, with exceptions and mitigants called out first for the reader.
Link every number to its source
Each figure should trace to the document page, statement, or check it came from, and anything unverified should be labeled rather than filled in.
Keep judgment with underwriters
Leave room for management-call context, industry view, and the recommendation. The draft should be edited and approved by a person.
Test on your own deals
Run a few recent deals, redacted if needed, and compare the output line by line with the memos your team wrote for the same files.
What an automated memo draft should look like
Sections follow the lender's template, every figure carries its source, and the credit policy check sits beside the narrative so exceptions are seen first.
Which memo each deal needs
Match memo depth to ticket size and risk rather than writing the same document for every deal.
| Memo type | Typical use | Must include |
|---|---|---|
| Screening memo | Small-ticket and fast-turn deals | Business verification, credit summary, bank-statement cash flow, fraud flags, policy checks |
| Standard credit memo | Mid-ticket deals | Adds financial spreads and ratios, debt schedule, collateral and equipment, and conditions |
| Committee write-up | Large-ticket and structured deals | Adds industry and market view, ownership and related entities, management assessment, and structure rationale |
| Broker or lender package | Deals submitted to funders | Consistent summary, verified documents, and cash-flow highlights in the funder's preferred format |
What to automate and what to keep human
| Memo work | Automate | Keep with underwriters |
|---|---|---|
| Gathering and organizing documents | Yes | Exceptions only |
| Business, owner, and credit verification | Yes | Review flags |
| Bank-statement cash flow and stacking | Yes | Confirm unusual deposits |
| Financial spreading and ratios | Yes, in your model | Adjust add-backs and debt schedule |
| Policy checks | Yes | Approve exceptions |
| Narrative summary | Draft | Edit and sign off |
| Management context and recommendation | No | Yes |
How to name and package a deal for loan committee
Consistent names and order make files easy to review now and to audit or securitize later.
| Item | Convention |
|---|---|
| File names | Business name, document type, and period, for example Business_Bank_Statement_2026-08 |
| Order | Memo, spreads, policy check, then supporting documents by section |
| Spreads | Excel in your model, with sources noted for each input |
| Evidence | Verification results and screenshots attached, time-stamped |
| Versions | Final memo saved as approved, with edits tracked |
Questions to ask any credit memo vendor
Will you reproduce one of our memos?
Send a finished memo and its deal file, and compare the output section by section.
Whose spreading model is used?
Ratios should follow your formulas and add-back rules, not a vendor default.
What happens before the memo is written?
Ask which verifications and fraud checks run, and how failures appear in the memo.
How are sources shown?
Pick five figures and trace each back to its document.
Where does the memo go?
Confirm it lands in your CRM, LOS, and Excel without copy and paste.
Frequently asked questions
How do I automate credit memos for small business loans?
Start from your template and past memos, verify the borrower and cash flow before writing, spread into your model, apply your policy as explicit checks, and keep final judgment with underwriters. Kaaj drafts SMB, equipment-finance, and MCA memos this way in 5–7 minutes.
Can AI write a credit memo that matches our committee template?
Yes, if the tool is configured from your template or past memos rather than its own format. Kaaj mirrors your template section by section, or builds it from your last 10 memos, and is set up within a week.
Should an AI credit memo use our Excel spreading model?
Yes. Generic ratios often define DSCR, EBITDA, or add-backs differently from your policy. Spreads should follow your model and formulas and export back to Excel.
How long should a credit memo be?
It depends on the deal. Small-ticket deals need a short screen; mid-ticket deals a standard memo with spreads and debt schedule; large or structured deals a longer committee write-up with industry, ownership, and structure.
How should holding-company and operating-company financials be handled in one memo?
Spread each entity separately, remove intercompany items, and combine them for global cash flow using the method your policy defines. Confirm any tool can show both the entity-level and combined views; Kaaj combines holding-company and operating-company financials in one write-up.
How do we evaluate an AI credit memo tool before buying?
Run two to five recent deals, redacted if needed, and compare the output with the memos your team wrote. Check template fit, spread accuracy, policy checks, and source links.
Will automating credit memos replace credit analysts?
No. It removes gathering, re-keying, and first drafts so analysts spend their time on judgment, structure, and exceptions.
Can the credit memo land automatically in Salesforce or our LOS?
With the right integration, yes. Kaaj writes the memo and its data to Salesforce, HubSpot, LeasePath, or your LOS and exports spreads to Excel.
Get a memo in your template on your own deals
Kaaj verifies the package, analyzes cash flow and financials, checks your policy, and drafts the memo in your format in 5–7 minutes.