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Monitor portfolio · PCT-064 · Sourced card

Spread step-ups and new PIK

A portfolio team wants every position where the lender got paid more (spread step-up, new PIK component) between two quarters, as a proxy for amendments, covenant resets and extensions that are rarely announced.

Direct lendingBDCsPublic dataBuildable in-house
INPUTTwo quarters of BDC schedulesAI STEPSMatch issuers · Flag step-ups and PIK ·Bucket by sizeOUTPUTSpread step-ups and new PIK by issuerHUMAN CHECKA person reviews and decides

Today vs automated

TODAY
  1. Open two 10-QsAnalyst · manual
  2. Copy spreads to ExcelAnalyst · manual, re-keying
  3. Spot step-ups by eyePM · manual
  4. Email / meeting hand-offAnalyst → PM
AUTOMATED
  1. BDC 10-Qs for the quarter are filedTrigger: starts on its own
  2. Match issuersAutomated · Document store
  3. Flag step-ups and PIKAutomated · LLM
  4. Bucket by sizeAI draft, human review · Monitoring model
  5. Whether a step-up reflects a covenant reset, an extension fee or a market repricingApprove / override · PM

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

Estimated valueestimate

12–90 analyst hours a year
$2k–$22k of time, vs an assumed $10k–$40k tool cost

Net: −$38k to $12k a year net of tool cost; at the low end of the assumptions it does not cover the tool cost.

Manual4–8 h per quarterly reviewWith AI0.5–1 h per quarterly review, review included
Assumptions
  • 4–8 analyst hours per quarterly review today; 0.5–1 hours with an agent, including review
  • 4–12 quarterly reviews 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

  • Flag step-ups on names you hold
  • Bucket changes by loan size
  • Feed into the watchlist
  • Draft the pricing note
  • Compare against your own reprice log
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 quarterly review.
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 (4 vendors listed), build or hybrid, with the trade-offs of each.
Buy
The LoanEdge, Versana, Standd, Hypercore
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 h per quarterly review (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 h per quarterly review (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: Spread step-ups and new PIK: the amendment trail a quarterly SOI diff leaves behind

“Amendments are rarely announced. The spread column in the 10-Q still moves.”

Scenario

Public: a portfolio team wants every position where the lender got paid more (spread step-up, new PIK component) between two quarters, as a proxy for amendments, covenant resets and extensions that are rarely announced.

What the human still decides

Whether a step-up reflects a covenant reset, an extension fee or a market repricing. The SOI does not say; the agent marks it 'reason not disclosed'.

Why it matters

Moody's counts PIK amendments and maturity extensions as soft defaults: including them lifts the default rate on 607 credit-estimate borrowers from 4.0% to 5.8%. Fitch's US private credit default rate hit a record 6.3% in August 2026.

What the record shows

Checked 2026-10-16.

Moody's shows how much is hidden in soft events: counting PIK amendments and extensions moves the default rate on 607 credit-estimate borrowers from 4.0% to 5.8%. In ARCC, BCRED, HTGC, MAIN and OBDC's 31 Mar → 30 Jun 2026 SOIs, 45 single-row issuers had their spread raised (24 by 25bp, 9 by 50bp) and 7 of those carried a PIK component after the change, 4 of them new. The median mark on the stepped-up names was 99.4% of cost, so the mark alone wouldn't flag them. The quarterly diff is the earliest public trace.

Try it: prompt and data
From the 31 Mar and 30 Jun 2026 SOIs for {BDC}, list every single-row issuer whose spread rose or whose PIK component appeared or grew. Show both rates, both marks and both filing links. State 'reason not disclosed' unless a cited source gives one.

Data

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

Who uses it, vendors and build
Segments
Direct lending, BDCs
Who uses it
Credit analyst, Portfolio manager
Build
Buildable in-house
In-house
Same diff as the refi leakage watch. Estimate: 1–2 days on top of it.
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.