# Credit memo underwriting example: files and limits

Canonical: https://refer.sourcex.si/data-types/credit-memo-underwriting-example
Last updated: 2026-10-20

A commercial credit memo records the request, financial analysis, risks, recommendation, approval and later outcome for a loan decision. Decision records with outcomes are valuable to AI developers, but consumer data, borrower-confidential files and loans owned by others are usually out of scope and need rights review first.

## What is in a commercial credit underwriting file, and can it be licensed?

A commercial credit underwriting file is the record a lender builds to decide whether and how to extend credit to a business: the application, financial spreads, the credit memo, the risk rating, approvals and later monitoring. Files at a commercial lending or specialty finance operation can hold years of structured analysis tied to a decision and an outcome. Whether they can be licensed depends on rights, borrower confidentiality and financial privacy rules, so many files will be ruled out.

This page is for fractional CFOs and finance advisors who work with lenders, equipment finance companies, factoring and receivables businesses, and the finance arms of larger operators. It explains what the files contain, why decision records with outcomes matter to AI developers, and where the limits are.

## What does a commercial credit memo example contain?

Credit memos differ by institution, but a typical commercial memo follows a recognizable order. Each section is a different kind of record.

| Section | What it records | Why a decision record matters |
|---|---|---|
| Request summary | Amount, purpose, structure, term | Frames the question being decided |
| Borrower and sponsor background | Business description, ownership, management | Context behind the analysis |
| Financial analysis | Spreads, ratios, cash flow coverage, trends | Shows how numbers were interpreted |
| Collateral and structure | Security, covenants, guarantor support | Links structure to risk |
| Risks and mitigants | Concentrations, weaknesses, offsets | Explicit reasoning, not just a score |
| Recommendation and risk rating | Approve, decline or modify, with the grade | A labeled decision |
| Approval record | Committee notes, conditions, exceptions | Who decided and on what basis |
| Monitoring and outcome | Annual reviews, covenant tests, downgrades, payoff or charge-off | The result that tests the original judgment |

The last row is what separates a stack of memos from a useful body of records. A memo alone shows a view at one moment. A memo linked to what happened afterward shows whether the judgment held.

## Why would AI developers value underwriting records?

Agents that perform analytical work need examples of multi-step reasoning, the decisions made and the outcomes that followed. Underwriting files combine structured inputs, written judgment and a result. That mix is scarce outside lenders, because it is created inside regulated, confidential workflows rather than published.

The same scarcity creates the constraint. The more valuable a file is, the more likely it names a borrower, a guarantor and personal or business financial information. Value never overrides rights.

## Which underwriting files are likely out of scope?

Screen hard. Most lending files fail one of these tests.

- **Consumer credit files.** Records built mainly from individuals' personal financial information have no easy licensing basis. Do not introduce a consumer lender on the strength of its files.
- **Files containing borrower financial statements** supplied under confidentiality terms. The borrower, not the lender, often controls what may be shared.
- **Participated or syndicated loans** where another institution holds rights in the file.
- **Regulated bank records.** Examination, supervisory and suitability material has its own limits.
- **Servicing records for loans the company no longer owns.** Rights may sit with the buyer of the portfolio.

Financial institutions face federal limits on sharing customer information. The FTC's [Gramm-Leach-Bliley Act business guidance](https://www.ftc.gov/business-guidance/privacy-security/gramm-leach-bliley-act) describes the privacy rule and its notice and opt-out requirements for sharing customer information with certain nonaffiliated third parties. Whether it covers a specific company depends on that company's status. This is general information, not legal, tax or financial advice. Confirm with the company's counsel before acting.

## Which lending operations might fit?

The company introduction baseline still applies: a company in the U.S., Canada, the EU, the UK, Australia, New Zealand, India, Singapore, South Africa, Latin America, the UAE or Saudi Arabia (outside the U.S., Canada and the EU, at least 90% of the data must be in English) with 50+ full-time employees at peak (contractors excluded), several years of documented operations, rights to license the data and an authorized sponsor. Beyond that, these signals help:

- [ ] Commercial, not consumer, credit is the core business.
- [ ] Credit memos follow a standard template with approvals recorded in a workflow tool, not scattered emails.
- [ ] Decisions and later monitoring or payoff outcomes are tied to the same account record.
- [ ] The company is the originator and owner of the files, not a servicer for others.
- [ ] Borrower agreements or the company's counsel can speak to whether de-identified or redacted material may be licensed.
- [ ] The owner, CEO, CFO or authorized representative can sponsor the conversation.

Operating businesses that lend as part of their model, such as equipment dealers or trade finance arms, may also hold decision records about customers' credit terms. The same tests apply.

## What to say to a finance sponsor

A fractional CFO can raise this during a funding review or a lender covenant discussion without asking to see any file.

> "Your credit team has years of documented decisions and outcomes. Some finance operations license de-identified operational records to SourceX, keep ownership and approve what is shared. Would you want to check whether your files could qualify, with your counsel in the room?"

Keep the line short. Do not ask for sample files, and do not describe the contents of any file to anyone. Partners make introductions and give basic fit information only.

## How do rewards work for this kind of introduction?

Partners earn 25% of the compensation SourceX actually pays the company you refer, capped at $100,000 per referred company. A reward becomes payable after SourceX has paid the referred company under its signed agreement and the payout conditions in the program terms are met, including finance approval and your tax and payment details. It is never deducted from what the company receives. Review the [program terms](/terms) and check any policy of your own firm or professional body before registering.

## Related reading for finance advisors

Technical writing from the finance function is a separate record type; see [technical accounting and policy memos](/data-types/accounting-policy-memo-examples). Lenders also care about how a license affects collateral, which the question on [whether company data is collateral under a blanket lien](/questions/is-data-a-general-intangible-ucc-article-9) addresses, and the [sales tax question](/questions/is-a-data-license-subject-to-sales-tax) covers a common finance question. For client meetings, the [year-end tax planning meeting guide](/guides/year-end-tax-planning-meeting-business-owner-checklist) shows when to raise the idea. The broader role page is [referral opportunities for fractional CFOs](/for/fractional-cfos).

## Next step

If a lending client passes the checklist, run the [company fit checker](/tools/company-fit-checker), then [register as a partner](/register). The company can also apply at [sourcex.si/apply](https://sourcex.si/apply). If its files are mostly consumer credit or borrower-confidential, leave it for now.

## Sources

- https://www.ftc.gov/business-guidance/privacy-security/gramm-leach-bliley-act