From initial sizing to final term sheet, Deal Structuring compresses days of spreadsheet modeling into minutes of intelligent analysis, with every assumption documented and every scenario stress-tested.
Every new deal means a new spreadsheet. Copy the last one, change the numbers, hope the formulas still work. Senior lenders spend hours on term sheet iterations that should take minutes. Meanwhile, the borrower is getting a faster answer from someone else.
The problem is not that your team lacks skill. The problem is that skill gets trapped inside manual processes that do not scale.
Property type, loan amount, borrower profile, market context. Pulled automatically from documents or entered directly. No duplicate data entry.
LenderBox runs multiple structuring scenarios simultaneously: sizing against DSCR, debt yield, and LTV constraints, stress-testing exit assumptions, and modeling interest rate sensitivity.
A committee-ready term sheet with clearly documented assumptions, policy compliance confirmation, and sensitivity analysis. Ready to send or refine.
Run ten structuring scenarios in the time it takes to build one spreadsheet. Compare fixed vs. floating, 5-year vs. 7-year, recourse vs. non-recourse, all stress-tested against current market conditions.
Every structure is automatically checked against your credit policy. Maximum LTV, minimum DSCR, concentration limits, exception triggers: all enforced before the term sheet leaves your desk.
Generate clean, professional term sheets that reflect your format and standards. Every assumption documented. Every calculation traceable.
Compare structures side by side with normalized metrics: risk-adjusted yield, exit probability, policy alignment score, and time-to-close estimate.
"We used to lose deals because our term sheet took three days. Now we respond same-day with a fully modeled structure. The borrowers notice."
Head of Originations, Private Credit Fund
AI-powered deal modeling that generates committee-ready term sheets and loan structures in minutes. It combines automated sizing (DSCR, debt yield, LTV), multi-scenario stress testing, and policy compliance verification into a single workflow.
Deal Structuring pulls property data from Document Intelligence, market context from Market Intelligence, and policy parameters from Policy Intelligence. The output feeds directly into Risk Assessment scoring and credit memo generation. It is one stage in a continuous workflow, not a standalone tool.
Yes. Term sheet output reflects your branding, standard language, and formatting preferences. Your templates, your terms, your deal structure, automated.
Deal Structuring reads your credit policy parameters (max LTV by property type, minimum DSCR thresholds, concentration limits, exception triggers) and sizes every deal within those boundaries. If a structure requires a policy exception, it flags the specific exception and documents the deviation before the term sheet is generated.
From complete deal parameters to a committee-ready term sheet: typically under five minutes. The time savings come from eliminating manual spreadsheet modeling, automated policy checking, and simultaneous multi-scenario analysis.
Yes. For banks, it enforces regulatory and internal policy constraints with examiner-ready documentation. For private credit teams, it optimizes for speed-to-term-sheet and competitive structuring flexibility. The underlying engine adapts to your institution type.
Multi-tranche structures, participations, and subordinate financing are supported. The AI models each layer independently and shows how the combined structure affects overall returns, risk metrics, and policy compliance at each level.
Deal Structuring is part of the LenderBox platform. Implementation typically takes two weeks from contract to production. Contact us for pricing specific to your volume and needs.
Structure your next CRE deal in minutes, not days. Every assumption documented. Every scenario stress-tested. Every policy constraint enforced.
No commitment required. See how LenderBox structures deals for lending teams like yours.
