AI transformation for CRE lenders, brokers and investors
Realestate
Native builds AI agents for CRE lenders, brokers and investors: lead engines, deal intake, document collection and underwriting prep.
Where AI has an impact in real estate
Owner-occupied lead generation
Businesses that own their buildings found by industry or territory, scored and graded for your programs.
Program matching
Each deal matched to the loan programs and capital sources whose size and leverage limits fit it.
Deal intake
Submissions classified against your credit manual on arrival, with program fit checked first.
Document collection
Stage-specific needs lists sent, chased and checked until the package is complete.
- Rent roll and OM reading
- Underwriting prep
- Broker and partner portals
- Support and status
Native helps commercial real estate lenders, brokers and investors put AI agents into origination and deal flow: finding qualified owners, taking in deals, collecting documents and preparing files for underwriting. For Hybrid, a commercial real estate lending platform, Native built a lead engine that finds scored owner-occupied leads for $0.12 to $0.24 each and a deal handoff that carried a $5.33M deal into the loan system automatically.
Case study · Hybrid
Hybrid found scored CRE leads for cents each and handed deals to its loan system automatically.
Native helped Hybrid, a commercial real estate lending platform, build an owner-occupied lead engine and a white-label platform for partner brokerages. Leads cost $0.12 to $0.24 each, deals are submitted in about a minute, and the first automated handoff carried a $5.33M deal into the loan system.
The challenge
Hybrid needed a steady flow of owner-occupied commercial property leads that fit its loan programs, and a way for partner brokerages to submit deals without re-keying them. Property data was the largest cost, and the property records often mislabelled owner-occupancy.What we built
- A lead engine with industry and territory modes that filters ineligible properties before any paid lookup, verifies owner-occupancy from three signals and grades each lead High, Medium or Low.
- A multi-tenant white-label platform for partner brokerages, with branded domains, role-based access and commission tracking.
- A deal submission flow that invites the borrower to a view-only portal and hands accepted deals to the loan operating system with an alert to the processor.
The result
Platform users grew from 15 to 25 in the three weeks after the first partner brokerage joined, and the first deal through the automated handoff was $5.33M.Frequently asked questions
How is AI used in commercial real estate?
In origination and deal flow: finding and scoring owners, taking in deals, collecting documents, reading rent rolls and preparing files for underwriting. Pricing and negotiation stay with people.
Can AI generate commercial real estate leads?
Yes. For Hybrid, Native built a lead engine that finds and scores owner-occupied leads for $0.12 to $0.24 each in data cost, filtering out ineligible properties before paying for any lookup.
What does an AI transformation partner do for a CRE lender?
An AI transformation partner turns your credit manuals and program guides into rules agents can follow, then builds agents for intake, document collection and underwriting prep inside your systems. Native's forward-deployed engineers build and run them until your team takes over.
Can AI underwrite a commercial real estate loan?
AI can spread the financials, read the rent roll and draft the memo. The underwriting decision, pricing and terms stay with your team.
How quickly can a CRE firm see results from AI?
A lead engine or document chase is usually in production within weeks. A full deal pipeline, from intake to the loan system, follows within months.
