How “Chris” Used AI and Other People’s Money to Buy a 6-Unit Multifamily Property

Note: “Chris” is a pseudonym used to protect the privacy of the individual.

Buying real estate without using your own money used to be something only insiders and millionaires could pull off. But with AI tools and a bit of strategic networking, Chris managed to buy a 6-unit building in 2025 — without using a single dollar of his own cash.

Here’s how he did it.

🧠 Step 1: Using AI to Identify Profitable 6-Unit Properties

Instead of driving around looking for “For Sale” signs, Chris used a smart tech stack to source and vet properties:

• ChatGPT: He input property taxes, Zillow rent comps, and loan terms to get instant cash flow projections.
• DealMachine + Regrid: These tools surfaced off-market 6-unit buildings in appreciating neighborhoods.
• AirDNA & RentCast: Helped him forecast long-term rent income and short-term rental potential.

One building stood out — a value-add 6-plex near a hospital that showed an 8.2% cap rate potential. That became his target.

💰 Step 2: Financing the Deal with Other People’s Money (OPM)

Chris didn’t use his own savings. He structured the financing creatively, but it wasn’t instant — it took him a full 60 days to assemble the right funding stack and investor commitments.

Here’s how he pieced it together:

• Hard Money Lender: Funded 80% of the purchase and 100% of the rehab.
• Private Capital Partner: Covered the 20% down payment in exchange for 70% of cash flow and equity.
• Chris’s Role: Deal sourcing, AI-driven analysis, project oversight.

But before any funds were released, the entire deal had to be underwritten — just like any other commercial real estate loan. The lender required rent roll projections, expense estimates, debt service coverage (DSCR), and a full rehab budget.

Chris used AI to pull together the numbers fast — but underwriting still took 3 weeks of back-and-forth with the lender.

➡️ Cash invested by Chris: $0
➡️ Equity in the building: 30%
➡️ Total cost: $650,000 → Fully funded using OPM

📊 Step 3: AI Took Care of the Numbers — and the Pitch

Chris used AI to prepare and present the deal to partners:

• ChatGPT wrote his entire investment pitch: executive summary, risk section, exit strategy.
• Excel + GPT formulas modeled NOI, DSCR, cap rate, and cash-on-cash return.
• Canva + Notion helped him create a clean, confident deal package.

Thanks to automation, the presentation looked like something from a seasoned syndicator — but was built in a weekend.

🛠 Step 4: Chris Used AI to Pre-Build Property Management Systems

Before closing, Chris had already set up:

• AI-powered lease templates, welcome kits, and rent collection letters
• Tenant screening via Avail
• Zapier integrations that pushed payments into QuickBooks
• A contractor scope of work doc — written with help from ChatGPT

The result? He hit the ground running with no property manager and minimal stress.

💡 Why This Strategy Works (Even If You’re Not Wealthy)

The key wasn’t Chris’s income. It was leverage:

Resource	Function
AI	Handled analysis, marketing, and paperwork
OPM	Provided all the capital
Multifamily Property	Qualified for financing based on property income, not personal W-2

Because the building had more than 4 units, it had to be underwritten like a commercial loan — meaning the lender based the decision on the property’s projected income and expenses, not just Chris’s personal credit.

🏁 Want to Do What Chris Did?

Start here:

• ✅ Search off