How Does a Small Credit Team Monitor 50 Borrowers Without Adding Headcount?
Dr. Leigh Coney
Founder, WorkWise Solutions
November 10, 2026
6 min read
TLDR: A small credit team can monitor 50 borrowers without adding headcount by splitting each quarter's monitoring into four steps (collect the borrower package, spread it, test the covenants, write up what changed) and giving AI the first pass of each, with an analyst checking every figure against its page. The hours come back in collecting and keying, and the credit judgment stays with your people. For a firm of 10 to 40 people, WorkWise Solutions builds this workflow on its AI Operating Partner retainer, from $10,000 a month for firms of up to 25 people.
I run the AI Operating Partner retainer through WorkWise Solutions. On Core, $10,000 a month for firms of up to 25 people, the first thing I build is your monitoring workflow, on your own borrower packages and credit agreements. A fixed-price first step is the Credit-Team Intensive at $12,500 for up to 12 people.
Table of Contents
1. The Short Answer
A small credit team monitors 50 borrowers without adding headcount by splitting each quarter's monitoring into four steps: collect the borrower package, spread it, test the covenants and write up what changed. AI takes the first pass of each step, and an analyst checks every figure against the page it came from.
The hours come back in collecting and keying. The credit judgment stays with your people.
Assume 50 borrowers that each report quarterly: that is 200 borrower packages a year. At a firm of 10 to 40 people, the same few analysts read, key, test and write up every one.
The tool is an AI assistant such as Claude or ChatGPT on a business plan, the version each vendor sells to companies.
PwC's Global Private Credit Survey 2026 describes firms that use AI as "reviewing more deals with the same headcount." This page applies the same idea to the loans you already hold.
2. Where the Hours Go
No published survey gives borrowers per analyst, or hours per borrower package, for direct lenders.
The nearest thing is one lender's own filing: Capital Southwest, an internally managed BDC, reported thirty-six employees and investments in 131 portfolio companies as of March 31, 2026. Its annual report does not say how many of the thirty-six work on monitoring, so read it as one example, never as a ratio to hit.
"Our team spent most of each quarter collecting financials, entering data in Excel, and putting together portfolio reviews," Andrew Cosentino of LAGO Innovation Fund says in a customer story published by Lumonic, which sells monitoring software. It is one customer's account, told by a vendor.
| Step | Where the time goes | What AI does first | What the analyst checks |
|---|---|---|---|
| 1. Collect the borrower package | Tracking due dates, writing reminders, filing attachments | Builds the reporting calendar from each credit agreement, drafts reminders and lists what each package is missing | Due dates against the agreement, and each reminder before it goes out |
| 2. Spread it | Keying figures from PDFs and workbooks into your template | Copies each figure into your template with its page number and lists any line it could not place | Each figure against its page, and every unplaced line |
| 3. Test the covenants | Finding the definitions, rebuilding EBITDA, recalculating each ratio | Lists each covenant and definition from the agreement and its amendments, then recalculates the compliance certificate | Every definition against the agreement's wording, each add-back and the headroom left |
| 4. Write up what changed | Comparing with last quarter and drafting each borrower's page | Drafts the one-page update: what moved since last quarter, and by how much | Which changes matter, the risk rating and the watchlist call |
Time your own team first. If covenant testing takes 20 analyst hours a week, split those hours into two kinds: finding and keying the inputs, and judging the result. AI takes the first kind.
3. What AI Does on Each Step
All four steps pass the test in PwC's survey: "If a task is document grounded and verifiable, AI is usually ready now." Each starts from a document you hold, and each result can be checked against a page.
- Collect. The assistant reads each credit agreement and lists what the borrower must send and when. That list is your reporting calendar, and every package is checked against it on arrival (see how to stop chasing borrowers for financial statements).
- Spread. Give it your template and the borrower's statements, and ask for every figure with its page number. What to check is in Can ChatGPT or Claude Spread Borrower Financials?
- Test the covenants. Keep one covenant list per borrower, built from the agreement and every amendment. The assistant recalculates the compliance certificate from the checked spread and shows its arithmetic.
- Write up what changed. Give it last quarter's page and this quarter's checked numbers, and it drafts the update in your format, ready for the quarterly portfolio review.
Run steps 2 and 3 the day a package arrives. Your view of a borrower is then as fresh as its last package.
4. What Stays With the Analyst
The first pass is a draft until an analyst signs it: every figure checked against its page, every definition against the agreement's wording, starting with how it defines EBITDA.
The judgment calls stay with your people too: whether an add-back is allowed, whether thin headroom on a covenant means a call to the sponsor, the risk rating, the watchlist.
Amendments are where a covenant list goes stale. In the Alternative Credit Council's Financing the Economy 2026, which surveyed 41 private credit managers, respondents reported that on average 10.6% of the loans in their portfolios had a significant amendment, with wide variation. When one changes a covenant or a definition, someone has to update that borrower's list before the next test.
The analyst initials each spread and each covenant test. Nothing reaches the credit committee, your LPs or the auditors on the assistant's word alone.
5. When a Monitoring Platform Is Worth Buying
With a general assistant you work one borrower package at a time, and the history of your covenant tests lives in your workbook.
A monitoring platform earns its price when tests must run across the whole book with history and alerts, or when several people and your auditors rely on one record. The signs are in When Should a Private Credit Fund Move Off Spreadsheets?
Allvue, Chronograph, Lumonic and Oxane Partners sell software that collects and spreads borrower reporting. No vendor we checked publishes a price, so expect a demo and a quote.
By comparison, seats of Claude Team or ChatGPT Business cost $20 a seat a month billed annually, which is $4,800 a year for 20 people.
6. Who Keeps It Running
The routine needs one owner inside the firm: a senior analyst or the head of portfolio management, with time set aside each week. The owner keeps the templates, the covenant lists and the saved instructions current, and logs every mistake the checks catch.
No IT team is needed. Your outside IT provider handles sign-in (see using AI without an IT team).
The owner also needs someone senior on call for the day a new document type breaks the routine: a peer at another fund, the AI vendor's support team or an advisor on retainer.
WorkWise Solutions, which publishes this guide, takes the on-call role through its AI Operating Partner retainer. Core costs $10,000 a month for firms of up to 25 people ($12,500 for 26 to 60), with a three-month minimum, and covers weekly office hours, a monthly usage review and one build at a time. For a monitoring team, the first build is this workflow, on the firm's own borrower packages and credit agreements.
A fixed-price first step is the Credit-Team Intensive: $12,500 for up to 12 people, three 2-hour sessions on the fund's own redacted spreads and covenant tests.
WorkWise sells no licenses and takes no referral fees. Not a fit if you need every covenant tested across the whole book with history and alerts this quarter, which is a job for monitoring software.
7. Where to Start
- Pick five borrowers whose packages your team spread by hand last quarter.
- Time one analyst on the four steps for one of them, done the old way.
- Name the owner and buy business-plan seats, never personal accounts (see which plans are safe for borrower financials).
- Run all five through the four steps and compare each result with last quarter's work.
- Put next quarter's live packages through the same routine, checks included, and time it again.
"As part of the monitoring process, members of our investment team or portfolio operations team will analyze monthly, quarterly and annual financial statements against previous periods, review financial projections, meet with the financial sponsor and management (when necessary), attend board meetings (when appropriate) and review all compliance certificates and covenants."
Capital Southwest Corporation, Form 10-K for the year ended March 31, 2026, a lender that reported thirty-six employees and investments in 131 portfolio companies (filed May 19, 2026)
- •A small credit team can monitor 50 borrowers without adding headcount by splitting each quarter's monitoring into four steps (collect the borrower package, spread it, test the covenants, write up what changed) and giving AI the first pass of each, with an analyst checking every figure against its page.
- •No published survey gives borrowers per analyst or hours per borrower package for direct lenders, so a firm has to time its own analysts on a handful of packages before and after AI takes the first pass.
- •Capital Southwest reported thirty-six employees and investments in 131 portfolio companies as of March 31, 2026, one named example of a lean lender and never a ratio to copy, because its filing does not say how many of those people work on monitoring.
- •Claude Team or ChatGPT Business costs $20 a seat a month billed annually, which is $4,800 a year for 20 people; monitoring software earns its price when covenant tests need history and alerts across the whole book, and no vendor we checked publishes a price.
- •In the Alternative Credit Council's Financing the Economy 2026, which surveyed 41 private credit managers, respondents reported that on average 10.6% of the loans in their portfolios had a significant amendment, so each borrower's covenant list needs one named owner who updates it when terms change.
Frequently Asked Questions
How many borrowers can one credit analyst monitor with AI?
No published figure exists. No survey, industry association or consultancy report we could find gives borrowers per analyst for direct lenders, with or without AI, and the answer depends on how often your borrowers report and how complex your covenants are. Measure it yourself: time one analyst on five borrower packages across the four steps (collecting, spreading, covenant testing and the write-up), then repeat with AI doing the first pass and the analyst checking every figure. The hours saved per package, multiplied across your book, show how many more borrowers the same team can carry.
Do we need monitoring software, or will Claude or ChatGPT do?
Claude or ChatGPT on a business plan will do for the first pass of collecting, spreading, covenant testing and write-ups, one borrower package at a time, with your spreadsheet as the record. Each costs $20 a seat a month billed annually. Monitoring software earns its price when covenant tests must run across the whole book with history and alerts, or when several people and your auditors rely on one record. Allvue, Chronograph and Lumonic are among the vendors, and none we checked publishes a price.
Who can set up AI monitoring for a small private credit fund?
Three kinds of help exist: a monitoring software vendor, which sets up its own product; your own analysts, working from the help pages for Claude or ChatGPT; and an independent advisor. WorkWise Solutions, which publishes this guide, is an independent advisor. On its AI Operating Partner retainer, from $10,000 a month for firms of up to 25 people, the first build is the monitoring workflow on the fund's own borrower packages and credit agreements. A fixed-price first step is its $12,500 Credit-Team Intensive for up to 12 people.
Related Guides & Articles
AI Operating Partner Retainer
Ongoing help for a lean credit team: weekly office hours and one build at a time, starting with your monitoring workflow. From $10,000 a month for firms of up to 25 people.
Claude for Covenant Monitoring
Extracting covenant terms, measuring headroom from borrower financials and checking compliance certificates across the loan book.
How Do You Stop Chasing Borrowers for Financial Statements?
A reporting calendar built from each credit agreement, reminders before each due date and a check of the package the day it lands.
How Can a Private Credit Fund Cut Quarterly Portfolio Review Prep From Weeks to Days?
Where the weeks go at quarter end, the four steps AI can draft and what your people still decide.
Want to monitor more borrowers with the team you have?
Tell me how many borrowers you monitor, how many people do it and where the quarter's hours go, and I'll tell you which of the four steps to hand to AI first. On the Core tier of the AI Operating Partner retainer, $10,000 a month for firms of up to 25 people, your monitoring workflow is the first build. A fixed-price first step is the Credit-Team Intensive at $12,500 for up to 12 people.