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Test facility concentration limits

A lender to a BDC has just added a 20% 'broad software' concentration limit and cut the advance rate on recurring-revenue loans.

BDCsFund financePublic dataBuildable in-house
INPUTBack-leverage facility terms andportfolioAI STEPSExtract eligibility rules · Map everyloan · Show headroom old vs newOUTPUTConcentration headroom old vs new termsHUMAN CHECKIndustry classification calls andwhether to negotiate

Today vs automated

TODAY
  1. Read the facilityAnalyst · manual
  2. Re-map loans to its sectorsAnalyst · manual
  3. Rebuild the borrowing basePM · manual
  4. Email / meeting hand-offAnalyst → PM
AUTOMATED
  1. The lender sends amended concentration limitsTrigger: starts on its own
  2. Extract eligibility rulesAutomated · Document store
  3. Map every loanAutomated · LLM
  4. Show headroom old vs newAI draft, human review · Monitoring model
  5. Industry classification calls and whether to negotiateApprove / override · PM

AutomatedAI draft, human reviewHuman onlyTools: Inbox / portal, Document store, LLM, Monitoring model, Loan system

Estimated valueestimate

30–390 analyst hours a year
$4k–$98k of time, vs an assumed $10k–$40k tool cost

Net: −$36k to $88k a year net of tool cost; at the low end of the assumptions it does not cover the tool cost.

Manual4–8 h per test runWith AI0.5–1.5 h per test run, review included
Assumptions
  • 4–8 analyst hours per test run today; 0.5–1.5 hours with an agent, including review
  • 12–52 test runs a year for one team
  • $150–250 per hour loaded cost
  • Tool or build cost $10,000–40,000 a year (in-house)

Estimate, based on the assumptions shown; your numbers will differ. How we estimate

What else it can do for the team

  • Test a new loan's effect before closing
  • Draft the borrowing base for the lender
  • Flag ineligible loans and why
  • Compare terms across facilities
  • Prepare for facility renegotiation
How you get thereFour steps from prompting to an agentic workflow; most teams start at step 2.
1 · PromptingAn analyst asks a chat tool about one test run.
Needs: an approved AI tool, a confidentiality policy.
Risk: unchecked answers, data pasted outside policy.
2 · WorkflowA fixed pipeline extracts the same fields into your template every time.
Needs: field definitions, a template, document parsing.
Risk: breaks silently when formats change.
Typical starting point
3 · AgentIt watches the inbox or data room, runs the checks and drafts the output.
Needs: inbox/doc-store access, system write-back, logging.
Risk: acting on a misread; needs review gates.
The automated lane above
4 · Agentic workflowSeveral agents work across the deal or book; people approve exceptions.
Needs: shared data model, permissions, audit trail, exception queue.
Risk: errors compound across steps; needs monitoring.
Solution optionsBuy (7 vendors listed), build or hybrid, with the trade-offs of each.
Buy
Lumonic, Allvue, Cardo AI, dv01, Intain, Oxane Partners, Setpoint
Fastest start; you adapt to the product's data model and pricing.
Build
An LLM API, a document parser, a vector or document store, your data warehouse, and a review queue.
Fits your definitions exactly; you own maintenance and controls.
Hybrid
Vendor extraction feeding your own checks, templates and systems.
Common middle path; two things to integrate and govern.

Listing is not endorsement.

What changes for the team4–8 h → 0.5–1.5 h per test run (estimate); coverage goes from a sample of borrowers, quarterly to every borrower, every delivery.
ROLESAnalysts move from re-keying packs to reviewing exceptions and calling borrowers.
CYCLE TIME4–8 h → 0.5–1.5 h per test run (estimate)
COVERAGEFrom a sample of borrowers, quarterly to every borrower, every delivery.
CONTROLSEvery output cites its source; approvals and overrides are logged.
How it works

Full title: Will the new concentration limit bite? Test your portfolio against your back-leverage facility's eligibility limits

“A 20% cap on 'broad software' and a 50% advance rate on ARR loans. Here's the clause, and how to test your book against it.”

Scenario

Public: a lender to a BDC has just added a 20% 'broad software' concentration limit and cut the advance rate on recurring-revenue loans. The fund wants to know the borrowing-base impact before the next draw.

What the human still decides

Industry classification calls and whether to negotiate. Definitions are contractual; treasury and counsel own them.

Why it matters

On 1 Oct 2026, lenders to First Eagle Private Credit Fund capped software, IT services and healthcare tech at 20% of collateral and cut the advance rate on recurring-revenue loans to 50% from 60%. Expect other facilities to follow.

What the record shows

Checked 2026-10-15.

First Eagle's non-traded BDC $350m facility (Morgan Stanley Bank $250m + Western Alliance Bank $100m; Morgan Stanley Senior Funding admin agent) was amended effective 1 Oct 2026 (8-K filed 5 Oct, accession 0001193125-26-414009) to cap Broad Software (Software, Health Care Technology, IT Services) at 20.0% of the Concentration Denominator (eligible collateral), not the borrowing base, and cut the recurring-revenue advance rate to 50% from 60%, with the revolving margin down 30bp to 2.25%. Test your tagging against the facility's industry definitions before your lender does.

Try it: prompt and data
From this credit facility agreement and its amendments, extract every eligibility criterion, concentration limit and advance rate with section cites. Then, for the attached SAMPLE portfolio, compute the borrowing base before and after the latest amendment and list loans whose classification is ambiguous.

Data

Public inputs only (SEC/EDGAR filings, published methodologies, public signals). Every figure is cited.

Who uses it, vendors and build
Segments
BDCs, Fund finance
Who uses it
CFO / fund finance, Portfolio manager, Treasury
Build
Buildable in-house
In-house
Clause extraction plus a borrowing-base calculator. Estimate: 2 weeks; needs treasury sign-off on classifications.
Last verified
2026-10-15

Vendors that claim this capability

Tags reflect each vendor's own public claims at the linked page (checked 2026-10-15). Not tested, ranked or endorsed.

Sources and related

Next step

Not investment advice. Names marked SAMPLE are fictional. Found an error? See the corrections log.