DealCommand transforms how commercial real estate teams evaluate deals. Upload a sponsor package — our AI extracts every data point, sizes the loan, checks credit policy, scores the sponsor, and delivers an institutional-grade recommendation.
Abstracta Inc. is a specialized management consulting firm with deep expertise in Global Banking, Digital Transformation, and Strategy. DealCommand is purpose-built for CRE lenders by the team that understands your business.
Analysts spend 2–4 hours per package manually pulling rent rolls, T-12s, sponsor financials, and market assumptions into spreadsheets — just to decide if a deal is worth a phone call.
Every RM evaluates deals differently. There's no standardized scoring, no policy-checked sizing, and no systematic way to compare the 50 packages that hit your desk each week.
Managers have no real-time view into what their teams are working on. Pipeline data lives in email threads, personal spreadsheets, and hallway conversations.
From raw PDF to institutional-quality analysis in minutes — every angle covered, 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.
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 is automatically checked against your institution's credit policy parameters and current lending appetite — no more chasing credit officers for a preliminary thumbs-up.
DealCommand conducts automated due diligence on every sponsor entity — screening for adverse news, litigation, and defaults — while simultaneously analyzing the submarket for strengths and risks.
Beyond hard policy limits, every institution has softer lending preferences — geography, property type, deal size, sponsor profile. DealCommand captures these in natural language rules and scores every deal against your current appetite.
DealCommand synthesizes every analysis — extraction, sizing, credit policy, appetite, sponsor, and market — into a single composite recommendation with full transparency into the reasoning and conditions.
Drag and drop a sponsor PDF, forward the broker's email, or bulk-upload multiple packages at once.
In minutes: extraction, sizing, credit policy, bank appetite, sponsor diligence, and market analysis — all automated.
Composite score across 5 dimensions with a clear recommendation — Move Forward, Conditional, or Reject.
Generate a term sheet, export to Excel, chat with the AI about deal details, or decline — all from one screen.
Every deal your team is working on — scored, tracked, and actionable — in one view.
| Deal | Sponsor | Loan / Max Loan | Score | Rec. | Status | Updated |
|---|---|---|---|---|---|---|
| The Meridian at Brickell Multifamily — 312 Units — Miami, FL | Greystone Capital | $89.5M / $82.1M | 91 | Move Forward | Pursuing | 2h ago |
| Pacific Heights Office Tower Office — 310K SF — San Francisco, CA | Brookfield RE | $145.2M / $128.6M | 74 | Conditional | Under Review | 5h ago |
| Harbor Point Industrial Industrial — 420K SF — Miramar, FL | Redfearn Capital | $52.1M / $48.3M | 88 | Move Forward | Term Sheet Sent | 1d ago |
| Atlas Debt Fund II Fund — New York, NY | Atlas Urban Partners | $320M / — | 68 | Under Review | Awaiting Info | 2d ago |
| Lakewood Heights Multifamily — 280 Units — Chicago, IL | Morrison Dev | $58M / $41.2M | 42 | Reject | Declined | 4d ago |
See how DealCommand compares to traditional workflows and legacy tools.
| Capability | Manual / Excel | Legacy CRM | DealCommand AI |
|---|---|---|---|
| AI PDF extraction (rent rolls, T-12, PFS, sponsors) | ✗ | ✗ | ✓ |
| Independent loan sizing with Excel export | Manual | ✗ | ✓ Auto |
| 3-scenario analysis (Sponsor / AI / Custom) | Ad hoc | ✗ | ✓ Auto |
| Credit policy compliance check (per-rule) | Manual | Basic | ✓ Real-time |
| Bank appetite — natural language rules | ✗ | ✗ | ✓ Dynamic |
| Automated sponsor due diligence & risk scoring | ✗ | ✗ | ✓ |
| Submarket analysis with market score | Manual | ✗ | ✓ Auto |
| AI decision engine (5-dimension scoring) | ✗ | ✗ | ✓ |
| Deal Chat — AI Q&A about any deal | ✗ | ✗ | ✓ |
| RM dashboard + team portfolio | ✗ | ✓ | ✓ Full |
| Manager portfolio visibility (per-officer) | ✗ | Basic | ✓ Full |
| Configurable rules & settings per bank | ✗ | Limited | ✓ |
| Auto-generate term sheet (Word) | Template | ✗ | ✓ Pre-filled |
| Time to decision | 2–4 hrs | 1–2 hrs | ~4 min |
We went from spending half a day on each package to getting a scored analysis before our morning standup. Our team closed 40% more deals last quarter — not because we worked harder, but because we focused on the right ones.
The policy check alone saved us from pursuing a deal that would have been declined in committee. DealCommand flagged the concentration issue before we even ran the numbers.
As a manager, I finally have visibility into what my 12 RMs are working on without chasing them for updates. The manager dashboard changed how I run my group.
See DealCommand in action with your own sponsor packages. Schedule a 30-minute demo with our CRE specialists.