From raw sponsor PDF to institutional-grade analysis, preliminary spreading, and a clear recommendation — every step automated, every assumption stress-tested.
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.
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.
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.
| Revenue | Amount | $/SF | %EGI |
|---|---|---|---|
| Gross Potential Rent | $2,334,008 | $23.77 | 105.5% |
| Less: Vacancy (5.5%) | ($121,678) | $1.24 | 5.5% |
| Effective Gross Income | $2,212,330 | $22.53 | 100% |
| Insurance | ($171,852) | $1.75 | 7.8% |
| Real Estate Taxes | ($411,018) | $4.19 | 18.6% |
| Management Fee (3.5%) | ($77,432) | $0.79 | 3.5% |
| Other Operating | ($146,441) | $1.49 | 6.6% |
| Total OpEx | ($806,743) | $8.22 | 36.5% |
| Net Operating Income | $1,405,587 | $14.31 | 63.5% |
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.
DealCommand conducts automated due diligence on every sponsor entity — screening for adverse news, litigation history, prior defaults, and verifying track record. Multiple guarantors, key principals, and related entities are all analyzed simultaneously.
Every deal gets an automated market analysis — scoring the location, identifying nearby comparable properties, and surfacing key market strengths and concerns that inform underwriting decisions.
DealCommand synthesizes every analysis — extraction, sizing, credit policy, bank appetite, sponsor diligence, and market conditions — into a single composite recommendation with full transparency into the reasoning.
Every deal comes with an AI assistant that has read the entire sponsor package. Ask questions about loan terms, property details, financials, sponsor background, or market conditions — and get instant, source-referenced answers.
Every institution has unique credit policies and lending preferences. DealCommand lets you configure credit policy rules, bank appetite parameters, and rate assumptions — so every deal is evaluated against your specific standards.
| Rule | Applicability | Field | Enabled |
|---|---|---|---|
| LTV Cap | All CRE | Max 75% | |
| Min DSCR | All CRE | Min 1.20x | |
| Amortization | All CRE | Max 30yr | |
| Maturity | All CRE | Max 10yr | |
| Lien Position | All CRE | 1st Lien Only | |
| Min Debt Yield | Non-Recourse | Min 7.0% | |
| Sponsor NW | All CRE | Min 1.0x Loan | |
| Env. Phase I | Industrial | Required |
Every analysis produces actionable outputs that accelerate your lending workflow — from initial screening through term sheet delivery.
Institutional-quality narrative summary covering property, sponsor, market, sizing, and risk assessment — ready for credit committee review.
Full loan sizing with 3 scenarios (Sponsor, AI-Adjusted, User Override), amortization schedule, and editable cells for deeper sensitivity analysis during underwriting.
Auto-generated Word document with loan amount, rate, term, amortization, covenants, and conditions — populated from the AI analysis.
Draft communication to the broker or sponsor with next steps — send directly from the platform or export to your email client.
See DealCommand in action with your own sponsor packages. Schedule a 30-minute demo with our CRE specialists.