Commercial Lending
From borrower package to credit committee in minutes
Automate the manual bottleneck in commercial loan origination — document intake, spreading, risk screening, and memo drafting — so your team focuses on credit judgment.
The manual process
4–8 hours hand-keying financials from documents into spreadsheets
Missing documents discovered mid-review, sending analysts back to borrowers
Risk flags buried in 200-page packages that nobody reads end-to-end
Credit memos assembled by copy-pasting between Word, Excel, and email
With LendPipe
Financial data extracted and spread into your templates — every cell traced to source
Documents classified on upload, missing items flagged before review begins
DSCR, leverage ratios, and policy violations surfaced instantly across all periods
Committee-ready memo generated with source-linked financials and risk commentary
Works across your portfolio
Every commercial loan type, one platform
Common questions
What commercial lenders ask us
How accurate is AI financial spreading compared to manual spreading?
AI extraction accuracy depends on document quality — clean, digital PDFs from accounting software are processed with very high accuracy. Scanned documents or handwritten financials require more analyst review. For typical commercial loan packages (CPA-prepared financials, digital tax returns), extraction accuracy is consistently above 95%, and every extracted number is linked back to the source document so analysts can verify any figure instantly. Most teams find that AI spreading produces fewer errors than manual data entry, primarily because transcription mistakes are eliminated.
What document types and file formats does LendPipe support?
LendPipe processes PDF documents, including scanned PDFs. Supported document types include corporate and personal tax returns (1120, 1120-S, 1065, 1040), interim and annual financial statements, personal financial statements, rent rolls, operating statements, bank statements, and supporting schedules. Documents across 70+ categories are classified automatically on upload. For multi-entity borrowers, documents from different entities are tracked separately and correctly attributed in the global analysis.
How does LendPipe handle complex multi-entity borrower structures?
Commercial borrowers often involve multiple related entities — a primary operating company, a real estate holding company, guarantors with their own business income, and K-1 pass-through income from partnerships. LendPipe tracks each entity's financials separately, spreads them to their appropriate templates, and consolidates them into a global cash flow analysis. Intercompany eliminations, guarantee relationships, and affiliated entity debt service are all factored in. This is the area where manual spreading is most error-prone and where LendPipe provides the clearest accuracy advantage.
Can we use our own credit memo template and spreading template?
Yes — using your templates is the standard setup, not a customization. Your chart of accounts mapping, financial statement line item labels, ratio definitions, and memo section structure are all configured to match what your institution already uses. Credit committees see output that looks like your memos, not a generic AI-generated format. Examiners see analysis that matches your documented credit process.
How long does it take to process a commercial loan with LendPipe?
For a standard C&I or CRE deal with a single-entity borrower and clean financials, the document classification and initial spread are typically complete within 10–20 minutes of upload. A multi-entity deal with multiple tax returns and an operating statement might take 30–45 minutes for the full spread. Credit memo generation, pulling from the completed spread and screening results, adds another 5–10 minutes. The analyst's time is then spent reviewing, refining the narrative, and making credit judgments — not keying data.
Related reading
Guides from the LendPipe team
Credit Analysis · 9 min read
DSCR Calculation for CRE Loans: Formula, Examples, and What Lenders Actually Look For
A practical guide to calculating Debt Service Coverage Ratio for commercial real estate loans. Includes formulas, worked examples, common mistakes, and how different lender types interpret DSCR.
Read guideAI in Lending · 7 min read
How AI Financial Spreading Is Transforming Commercial Lending
Manual financial spreading costs lending teams 2–4 hours per deal. Learn how AI-powered spreading automates data extraction, reduces errors, and accelerates credit decisions.
Read guideBest Practices · 6 min read
5 Loan Origination Bottlenecks and How to Eliminate Them
Slow loan origination costs deals and frustrates borrowers. Identify the five most common bottlenecks in commercial lending and learn proven strategies to fix them.
Read guideSee it with your own loan data
Walk through a live commercial deal — from document upload to committee-ready memo.
Book a 10-minute demo