Private credit · borrower reporting
Every borrower reports differently, and each has its own definition of EBITDA. Headroom reads what they send, maps it onto your chart of accounts, and measures it against the covenants in the credit agreement — every figure traced to the page and cell it came from.
Stage 01 / 03
Mapping
Borrower statements arrive in whatever shape their accountant exported that quarter. Headroom reads them and maps each figure onto your own model, so their “Op. profit” lands in your EBITDA field without anyone keying it.
Review
A whole period lands in one place, each figure carrying its own evidence, and leverage and coverage measured against the levels the agreement sets. Most are clean. The ones that failed a check, or that trace to nothing, say so — and a person on your team confirms the period before it counts.
In your tools
Confirmed figures come into Excel as live formulas, so your model updates instead of being rebuilt. The same figures reach Claude or ChatGPT through a connector you switch on — ask which borrowers are late, and the answer carries its citation.
If you own the systems a lending book runs on, or you are the one being asked how to use AI on them, we would like thirty minutes. We will come with questions rather than a deck.