LatestAll news

Home / Use cases / PCT-034

Monitor portfolio · PCT-034 · Sourced card · live demo

Evidence pack for Level 3 marks

A BDC valuation committee wants, for each loan marked below 95, the market evidence behind the mark before Q3 sign-off.

BDCsDirect lendingPublic dataBuildable in-house
INPUTLevel 3 positions and peer filingsAI STEPSPull peer marks · Flag outliers · Checkthe disclosuresOUTPUTEvidence pack with peer marks andoutliersHUMAN CHECKThe mark

Today vs automated

TODAY
  1. List Level 3 positionsAnalyst · manual
  2. Search peer 10-QsAnalyst · manual
  3. Write the memoPM · manual
  4. Email / meeting hand-offAnalyst → PM
AUTOMATED
  1. The quarter-end valuation cycle opensTrigger: starts on its own
  2. Pull peer marksAutomated · Document store
  3. Flag outliersAutomated · LLM
  4. Check the disclosuresAI draft, human review · Monitoring model
  5. The markApprove / override · PM

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

Estimated valueestimate

100–1,480 analyst hours a year
$15k–$370k of time, vs an assumed $10k–$40k tool cost

Net: −$25k to $360k a year net of tool cost; at the low end of the assumptions it does not cover the tool cost.

Manual2–4 h per positionWith AI0.3–1 h per position, review included
Assumptions
  • 2–4 analyst hours per position today; 0.3–1 hours with an agent, including review
  • 100–400 positions 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

  • Draft the mark rationale paragraph
  • Flag positions far from peer marks
  • Assemble the valuation committee pack
  • Track mark changes vs peers each quarter
  • Support auditor requests with citations
How you get thereFour steps from prompting to an agentic workflow; most teams start at step 4.
1 · PromptingAn analyst asks a chat tool about one position.
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.
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.
Typical starting point
Solution optionsBuy (6 vendors listed), build or hybrid, with the trade-offs of each.
Buy
The LoanEdge, Chronograph, Cobalt, 73 Strings, Oxane Partners, WhaleBlue
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 team2–4 h → 0.3–1 h per position (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 TIME2–4 h → 0.3–1 h per position (estimate)
COVERAGEFrom a sample of borrowers, quarterly to every borrower, every delivery.
CONTROLSEvery output cites its source; approvals and overrides are logged.

Which other BDCs lend to this borrower? →

How it works

Full title: The SEC asked how you calibrate your marks. An agent builds the evidence pack for every Level 3 loan

“Your loan at 96, two other BDCs at 88 and 85. The SEC staff statement says you should be able to explain that.”

Scenario

Public: a BDC valuation committee wants, for each loan marked below 95, the market evidence behind the mark before Q3 sign-off.

What the human still decides

The mark. The agent assembles evidence and flags gaps. The valuation designee and committee decide what the fair value is, and why.

Why it matters

The SEC staff statement of 28 Sep 2026 reminds BDCs to calibrate models to transactions and current market evidence and warns against boilerplate Level 3 disclosure. WilmerHale notes it may inform Exams and Enforcement.

What the record shows

Checked 2026-10-15.

The SEC staff statement of 28 Sep 2026 asks for calibration to transactions and current market evidence and for disclosure of non-accrual, non-performing and PIK where material. The pressure point is software: per BlackRock citing Cliffwater, weighted first-lien software marks fell from near par at end-2025 to about 97% of cost in Q2 2026, while 68% of software borrowers grew LTM adjusted EBITDA (Lincoln data). The evidence pack has to explain marks moving without fundamentals.

Try it: prompt and data
For each holding below, list every other BDC holding the same borrower in the June 30, 2026 SOI data with cost, fair value and FV/cost, linked to each 10-Q. Flag where our FV/cost is more than 5 points above the median of other holders. Do not opine on the correct value.

Data

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

Who uses it, vendors and build
Segments
BDCs, Direct lending
Who uses it
Valuation team, Portfolio manager, CFO / fund finance
Build
Buildable in-house
In-house
Reuses this site's SOI pipeline. Estimate: 1 week, plus valuation-team review of the flag thresholds.
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.