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The AI Deal-Sourcing Agent - Find, Profile & Underwrite Off-Market CRE Deals

One CRE acquisitions agent that runs start to finish: drop in your buy box and it sources every off-market deal, scores them against your box, pulls the property + ownership detail, runs the full pro forma, scores each deal out of 10, and routes only the winners to your desk. Built from an orchestrator + 3 skills (Deal Sourcer, Property & Ownership Profiler, Underwriter), each shipping the Excel artifact it produces - pre-filled with a real deal (1180 Brickell Bay Dr, Miami, 88 units, owner motivation 88/100, scored 8.7/10). Universal install in ChatGPT, Claude, Cursor, Gemini, Claude Code.

NextAutomation

Free resource

The AI Deal-Sourcing Agent - Find, Profile & Underwrite Off-Market CRE Deals

for Real Estate

Agent Orchestrator

One drop-in, one run, deals back already underwritten - no analyst, no spreadsheet, no Monday-morning triage. It runs in the tools you already pay for.

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Sourcing, owner resolution, underwriting and documents. Choose your modules, configured around your firm.

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Includes the full AI Deal-Sourcing Agent - the orchestrator + 3 skills:

Agent Orchestrator

Outcome: Your buy box dropped in once, and the whole desk runs itself - every off-market candidate sourced, scored, ownership-profiled, and underwritten, with only the winners (Deal Score above your threshold) routed to you. The Miami deal lands on your desk already underwritten at 8.7/10.

One drop-in, one run, deals back already underwritten - no analyst, no spreadsheet, no Monday-morning triage. It runs in the tools you already pay for.

Deal Sourcer

Outcome: Every off-market candidate in a market scored 0-100 against your buy box with a KILL / WATCH / PURSUE verdict - so 47 candidates become the 9 worth profiling, before you spend an hour

Stop sifting brokers' blasts and CoStar exports by hand. Spend your time only on the off-market deals that actually fit your box, already scored and ranked.

Property & Ownership Profiler

Outcome: Every PURSUE deal turned into an owner-and-contact profile with a motivation score - who owns it, what they paid, the loan that's maturing, and why they might sell. 1180 Brickell's owner scores 88/100 (Hot): bought at $8.95M in 2014, agency loan maturing 2025.

Walk into every conversation knowing who owns it, what they owe, when the loan comes due, and how to reach them - before you underwrite.

Underwriter

Outcome: Any enriched PURSUE deal run through a full pro forma (NOI, debt, IRR/MOIC), scored out of 10 on a transparent rubric, with a 1-page acquisitions memo ready to route - the Miami deal lands 8.7/10

Go from a profiled deal to a fully-underwritten, scored, IC-ready memo in minutes - not a Friday lost to a blank model.

The government banned Fable 5 because it was too powerful. So we used it to build the ultimate CRE AI agent - it scans every off-market deal in a market, scores each against your buy box, pulls the owner + ownership detail, underwrites the winner, scores it 8.7/10, and drops it on your acquisitions desk. Start to finish, no analyst. Today we're giving it away.

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The AI Deal-Sourcing Agent - Find, Profile & Underwrite Off-Market CRE Deals

What is an AI deal-sourcing agent for commercial real estate?

An AI deal-sourcing agent runs the whole CRE acquisitions pipeline start to finish: you drop in your buy box and it sources off-market deals, scores them, pulls the property and ownership detail, underwrites the winners, and routes only the best to your desk. This free pack is one agent built from an orchestrator plus 3 skills: a Deal Sourcer that scores each candidate 0-100 with a KILL/WATCH/PURSUE verdict, a Property & Ownership Profiler that pulls the owner, basis, and existing debt and scores the owner's motivation to sell, and an Underwriter that runs the full pro forma and scores the deal out of 10. In the example, a Miami 88-unit deal scores 8.7/10 and routes to acquisitions.

Can AI find the owner and contact for an off-market property?

Yes. The Property & Ownership Profiler skill turns a deal worth pursuing into an owner-and-contact profile: the legal owner entity and principal, the parcel record, what they paid versus today's ask, the existing loan and its maturity date, skip-trace contact, and portfolio links - then it scores the owner's motivation to sell 0-100 with the drivers. You supply the records from lawful sources (county assessor and recorder, the Secretary of State registry, a skip-trace provider); the agent structures, reasons, and scores, and never contacts anyone itself. In the example, 1180 Brickell Bay Dr's owner scores 88/100 (Hot): bought at $8.95M in 2014 with an agency loan maturing in 2025.

How does an AI agent underwrite a multifamily deal?

The Underwriter skill rebuilds the deal's in-place and stabilized NOI, sizes debt by LTV and DSCR, projects 5-year cashflows and an exit at a chosen cap rate, and computes levered LP IRR, equity multiple, and cash-on-cash. It then scores the deal out of 10 on a transparent rubric (returns vs target, buy-box fit, basis vs comps, business-plan risk, leverage safety) and produces an IC-ready one-pager - while a human acquisitions lead approves the decision.

Where AI changes the answer

Sourcing off-market CRE deals has historically meant an analyst sifting broker blasts and CoStar exports by hand, then chasing down who owns each property, then losing a day to a blank underwriting model per deal. The AI Deal-Sourcing Agent collapses that into one agent any investor can run in the tools they already use: drop in your buy box and an orchestrator dispatches a Deal Sourcer that scores every candidate, a Property & Ownership Profiler that pulls the owner, basis, debt, and contact and scores motivation, and an Underwriter that produces a full pro forma, a deal score out of 10, and an IC-ready memo - routing only the winners, with a human acquisitions lead approving the call.

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