Platform Overview

AI-Powered Deal Intelligence,
End to End.

From raw sponsor PDF to institutional-grade analysis, preliminary spreading, and a clear recommendation — every step automated, every assumption stress-tested.

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◆ Intelligent Extraction

Every Data Point. Automatically.

Our AI reads the full sponsor package — rent rolls, T-12 operating statements, pro formas, sponsor financials, market comps — and extracts structured data with institutional precision. No more 2-4 hours of manual data entry per package.

  • Rent rolls parsed unit-by-unit with lease terms, escalations, concessions, and vacancy identification
  • T-12 and trailing financials normalized to your chart of accounts with line-item mapping
  • Sponsor PFS, schedule of RE, liquidity summaries, and guarantor net worth auto-extracted
  • Supports multi-file packages, scanned PDFs with OCR, and email-forwarded deals from brokers
  • Property details, purchase price, renovation costs, and unit mix captured automatically
Extracted Deal SummaryPARSED
Property1 NW 62nd St — 14 Units
Asset ClassRetail (Retail Flex)
Purchase Price$780,000
Renovation Costs$660,000
Total Project Cost$1,440,000
Loan Request$1,300,000
SponsorJoseph Khakshouri
Gross Rental Income$184,710
Net Operating Income$122,895
◆ Preliminary Sizing & Excel Spreading

Independent Sizing. Assumptions Stress-Tested. Excel Ready.

DealCommand runs its own underwriting model alongside the sponsor's assumptions — sizing the loan on DSCR, LTV, and debt yield constraints while flagging every assumption that doesn't pass the common sense test.

  • Auto-calculates max loan on DSCR (1.20x–1.35x), LTV (65%–75%), and DY (7%–9%) with binding constraint identification
  • Flags aggressive rent growth, unrealistic cap rate compression, and overstated NOI vs. market comps
  • Three-scenario analysis: Sponsor Provided, AI-Adjusted (conservative), and User Override with editable cells
  • Full amortization schedule generated with monthly P&I, balloon payment calculation, and rate sensitivity
  • Breakeven occupancy, downside stress analysis, and expense ratio benchmarking included automatically
◆ Export to Excel

Every deal generates a downloadable Excel workbook with Deal Summary, Scenario Analysis (Sponsor vs. AI-Adjusted vs. User Override), and a full Amortization Schedule. RMs can override assumptions in the yellow cells for deeper sensitivity analysis — giving underwriting a head start from day one.

Sizing & Scenario Analysis3 FLAGS
Scenario 1: Sponsor Provided
Loan Amount$1,300,000
DSCR1.07x ⚠
LTV84.6% ⚠
Debt Yield9.45% ⚠
Scenario 2: AI Adjusted
Max Loan (DSCR ≥ 1.20x)$1,113,835
Max Loan (LTV ≤ 75%)$1,111,204
Recommended Loan$1,111,204
Loan Reduction-$188,796
⚠ AI Adjustments Applied
Vacancy: 5.0% → 7.0% (Miami retail market avg). Expense ratio: 30% → 31% (conservative adj.). NOI impact: -$4,367 (-3.6%).
📊 EXCEL EXPORT AVAILABLE
3 tabs: Deal Summary · Scenario Analysis · 60-Month Amortization
◆ Credit Policy & Appetite Check

Policy Compliant? In Appetite? Instantly.

Every deal is automatically checked against your institution's credit policy parameters and current lending appetite — no more chasing credit officers for a preliminary thumbs-up. Know in seconds whether a deal is worth pursuing.

  • Configurable rules: LTV caps, DSCR floors, DY minimums, asset type limits, and recourse requirements
  • Concentration limits by geography, asset class, sponsor exposure, and loan size
  • Auto-flag policy exceptions with required documentation notes and escalation triggers
  • Recourse / non-recourse thresholds and guarantor requirements automatically checked
  • Bank appetite overlay: which asset classes, geographies, and deal sizes your institution is actively pursuing
Policy & Appetite CheckPASS
Max LTV (Policy: 75%)70% ✓
Min DSCR (Policy: 1.25x)1.31x ✓
Min DY (Policy: 8.0%)8.5% ✓
Asset Class AppetiteMF — Active ✓
GeographySouth FL — Active ✓
Sponsor Concentration$23M existing (limit: $100M)
RecourseNon-recourse eligible
◆ Sponsor & Market Intelligence

Deep Diligence. Composite Score. Clear Recommendation.

DealCommand conducts an in-depth sponsor review and market analysis, synthesizes every data point into a composite score, and delivers a clear recommendation — Pursue, Pass, or Request More Info.

  • Sponsor track record: past deals, defaults, litigation history, entity structure, and key principal analysis
  • Market analysis: submarket vacancy, absorption, new supply pipeline, rent trends, and cap rate comparables
  • Comparable transactions: recent sales, per-unit/per-SF benchmarks, and cap rate evidence within the submarket
  • Composite 0–100 score with weighted sub-scores across five dimensions and AI narrative summary
  • Actionable recommendation with supporting rationale that maps directly to your credit memo requirements
Deal Score — CompositeCOMPLETE
Sponsor Quality84 / 100
Collateral Strength79 / 100
Market Conditions72 / 100
Sizing & Structure81 / 100
Policy Alignment90 / 100
Composite Deal Score
78
▲ RECOMMEND PURSUE
Outputs & Actions

From Analysis to Action.

Every analysis produces actionable outputs that accelerate your lending workflow — from initial screening through term sheet delivery.

01

AI Deal Memo

Institutional-quality narrative summary covering property, sponsor, market, sizing, and risk assessment — ready for credit committee review.

02

Excel Spreading Workbook

Full loan sizing with 3 scenarios (Sponsor, AI-Adjusted, User Override), amortization schedule, and editable cells for deeper sensitivity analysis during underwriting.

03

Pre-Filled Term Sheet

Auto-generated Word document with loan amount, rate, term, amortization, covenants, and conditions — populated from the AI analysis.

04

Sponsor Email

Draft communication to the broker or sponsor with next steps — send directly from the platform or export to your email client.

Stop Reading Packages.
Start Closing Deals.

See DealCommand in action with your own sponsor packages. Schedule a 30-minute demo with our CRE specialists.