Watch every borrower after the close

Portfolio monitoring is the work a lender does after a loan closes: tracking whether each borrower is still performing and whether the lender is still protected. It covers the borrower's financial performance against the underwriting case, covenant compliance under the credit agreement, early warning signals, the quarterly valuation and reporting to the committee and to investors. On Needl.ai the documents behind that work are read, tested and cited for the analyst.

Management accounts, compliance certificates, board decks, budgets and lender presentations as PDF or Word, the credit agreement with its amendments and waivers, and operating models or reporting workbooks in Excel or Google Sheets, read tab by tab. Each borrower's files sit in a room synced from Google Drive or OneDrive, or uploaded directly, and Needl.ai flags the files that are new or edited after each review.

Each covenant is listed with its level and test frequency, and the ratios are recomputed on the credit agreement's own definition of EBITDA, add-backs included. The covenant page shows the headroom on every test, how far earnings can fall before one fails, and the amendment and waiver history. Needl.ai frames the position. The analyst and the committee make the call.

Every figure carries a citation. Opening it shows the passage it came from with the quote highlighted, and the whole document is one click away. Figures taken from spreadsheets cite the sheet and the range. An answer that no document supports is marked so a reviewer knows to verify it, and Needl.ai keeps the previous review readable when a new package is read.

No. The underwriting case, the budget and your own template sit in the same room, and the quarter's figures are read against them with a source on each. The analyst still owns the spread and the judgement. What changes is that the extraction, the page-hunting and the first covenant test are done before the analyst opens the package, and on Needl.ai that work recurs each quarter without being redone by hand.

Each borrower is its own room, synced from its reporting folder. When a package lands, the room flags what is new, the review is run again and the previous version stays readable. Rooms sync in batches and resume, so quarter-end becomes a list of what changed rather than a stack of PDFs. Needl.ai keeps the question of which names need attention first a short one.

In your own AWS or Azure account, as a dedicated single-tenant instance, or as Needl.ai SaaS. Every search respects the permissions each person already holds on the source documents, connector credentials are stored encrypted, and data is deleted on request. Needl.ai is audited to SOC 2 Type II and ISO 27001. See Trust & Security.

No. Needl.ai gives no view on whether to lend. It produces the evidence and the framing: the figures with their sources, the covenant position under the agreement's own terms, the signals graded with their reasons, and a cited review. The committee decides what to do with the loan.

Listed holdings are watched by Corporate Announcement Alerts: filings sorted by event type, price moves judged against the market and a daily digest. Private credit monitoring reads a borrower's own reporting package and credit agreement instead. Needl.ai offers both, and each is set up on its own.