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AI consulting for private credit & specialty finance managers · and the sponsors and asset managers where the same question shows up
Ask your team for firm-wide exposure to your largest borrower, including the SMA and the co-invest. Time it.
Every credit fund grew the same way: the loan admin, an Excel model per deal, the fund administrator’s portal, DocuSign, and email. Nobody internal can fix it. The analysts are underwriting, and there is no data hire.
Put an AI agent on top of that and it answers fast and wrong. Put an entity layer under it and the agent becomes the fastest analyst on the desk.
Already bought a monitoring tool? It is only as good as the entity layer under it. If Excel still wins arguments, the layer is missing. We make the tool you bought work.
01 One record. An entity layer under everything. Every borrower exists exactly once, and the fund and the administrator reconcile against the same name.
02 Agents that read. Borrower packages, compliance certificates and borrowing bases read on arrival: numbers extracted, covenants checked, exceptions ranked, every figure traced to its page. A person at the gate for anything that moves money.
03 Answers with an audit trail. Plain-English questions against governed data. Evals before anything touches a live decision, and a memo an LP’s operational due diligence can read.
LPs asked which borrowers AI would disrupt. Blackstone ran an internal AI risk-scoring framework across its flagship private credit book; Ares and Blue Owl reviewed their portfolios the same way. Same shape as “what is our exposure to Acme”: only answerable that fast when every holding is one record. Expect your LPs to ask you the same kind of question.
First Brands collapsed with roughly $2.3B of factoring liabilities no lender could see. Tricolor cost JPMorgan a $170M charge-off in one quarter. Since then: continuous collateral monitoring, AI-based invoice verification, more field exams, and advance rates cut to 80 to 85% on receivables. Lenders who can verify every line get to offer the old advance rate again.
The standard above is buildable at your size. Four weeks, fixed fee from $15,000, and if it did not pay for itself the final invoice is off.
Book 30 minutes →Month-end measured in weeks. Covenants in a Word doc and one person’s memory. The LP pack hand-built, every SMA bespoke.
Borrowing bases sampled instead of verified line by line, which is where fabricated invoices and double-pledged receivables live. Ask the lenders to First Brands.
Seven-figure commitments priced on a partner’s read of a banker’s box. Duration blowing out silently. No way to show an LP your forecast calibration. Assets that have never met an actuary; our founder spent nine years pricing exactly this kind of asset from medical records, which is where the 99.9% comes from.
The AI slide in the value-creation plan has no number and no owner. Thirty pilots, nothing reusable, and an exit story the buyer’s diligence will not survive. More on sponsors.
Onboarding by email with no portal and no status. Forty acquired firms and no single view of a household. Advisors pasting client data into consumer AI, one exam away from a finding. More on asset and wealth managers.
Different documents, same question underneath. The four weeks are the same four weeks.
Fixed fee, from $15,000, and if it does not identify value worth ten times the fee, the fee is waived. You keep the map, the borrower resolution and the working agent either way.
Days, not weeks. When close runs past two weeks the cause is almost always reconciliation: the same borrower spelled three ways across the administrator, the loan system and the spreadsheets. Fix the entity layer and the close compresses on its own.
Usually. Most stalled tools fail on the data underneath, not the software: the platform was pointed at sources that do not reconcile. The diagnostic tells you in four weeks whether the tool you own can be made to work, and what it takes.
With them. The work is a governed layer underneath: your administrator, loan system and documents resolved to one borrower record. Nothing your team uses is ripped out on day one.
Map every system, resolve every borrower once, build one working agent on your worst document workflow, and answer the exposure question live at the readout. Fixed fee, from $15,000. If it did not pay for itself, the final invoice is off.
If it’s not a fit, we’ll tell you who is.