REAL ESTATE DEVELOPMENT
How Candlewood Development Booked 61 Agent Meetings and Built 13 Referral Partnerships After Replacing 3 Overseas VAs With AI Cold Calling
61 meetings and 13 new qualified partnerships
Meetings booked
New qualified partnerships
Outbound channel used
CLIENT REVIEW
Hear it straight from the client

Sean Gerrity
Founder at CANDLEWOOD DEVELOPMENT
THE CHALLENGE
Where they were stuck
Candlewood Development is a real estate investor and developer that acquires land for new builds and purchases existing homes from sellers as-is. Founder Sean Gerrity's growth depends on building a network of real estate agents and brokers who bring deal flow, but managing three virtual assistants in the Philippines to make outreach calls was producing limited results at significant cost.
Three offshore VAs produced limited results at high combined management cost
Manual calling could not scale to reach enough agents across target markets
Agents skeptical of investor pitches, requiring natural, credibility-first conversations
THE SYSTEM WE BUILT
How we solved their problems
AI Voice Training
The AI cold calling system was trained on Candlewood's specific value proposition to agents: referral fees, fast cash close, no contingencies, and retain the listing on the next deal. The AI was built to handle natural objections like skepticism toward investors, with voice quality indistinguishable from a professional human caller.
Strategic Call Deployment
Calls used local-area caller IDs and ran during peak agent-availability windows to maximize pickup rates. Brief scripts focused on the specific value Candlewood brings to agents, not a generic investor pitch. Interested agents were booked directly into Sean's calendar with no manual follow-up required.
Scale Beyond Human Capacity
The AI system replaced all three VAs at a fraction of the combined cost while delivering better results. Over 4 months, the system scaled to volumes that would have required a much larger human team, booking meetings consistently without the management overhead of coordinating offshore staff.
Candlewood Development is a real estate investor and developer that acquires land for new builds and purchases existing homes from sellers as-is. Founder Sean Gerrity's growth strategy depends on building a network of real estate agents and brokers who bring deal flow when they encounter sellers needing a fast, certain close. To work that channel at scale, Sean had hired three virtual assistants in the Philippines to call agents on his behalf. The setup produced limited results.
Sean replaced all three VAs with Outbound System's AI cold calling system at a fraction of the combined cost. The AI was trained on Candlewood's specific value to agents: referral fees, fast cash close, no contingencies, and retain the listing on the next deal. It was built to handle natural objections like skepticism toward investors. Voice quality is indistinguishable from a professional human caller, which immediately lifted conversion rates with agents.
Calls used local-area caller IDs and ran during peak agent-availability windows. Interested agents were booked directly into Sean's calendar, eliminating manual follow-up entirely. The system scaled to volumes that would have required a much larger human team, without the management overhead of coordinating offshore staff.
Over 4 months, the AI booked 61 meetings with agents and produced 13 new qualified referral partnerships, outperforming the three-VA team Sean had been managing for years. As Sean put it, "Agents have no idea they're talking to AI." The result is a scalable, predictable deal flow engine at a fraction of the previous cost.
FAQ
Frequently asked questions
Common questions about this case study, answered.
Can AI cold calling replace virtual assistants for real estate outreach?
Candlewood Development replaced 3 VAs in the Philippines with AI cold calling at a fraction of the cost and got better results. The AI booked 61 meetings with agents in 4 months and produced 13 new qualified referral partnerships. As Sean noted, agents have no idea they are talking to AI because the voice quality is that realistic.
How does AI cold calling work for real estate investors?
The AI is trained on your specific value proposition and objection handling. For Candlewood, that meant leading with referral fees, fast cash closes, and no contingencies. Calls use local-area caller IDs and run during peak agent availability. Interested agents are booked directly into your calendar.
What results can real estate developers expect from AI cold calling?
Candlewood booked 61 meetings with real estate agents and built 13 new qualified referral partnerships over 4 months. These are relationships that produce recurring deal flow, not one-time transactions. The AI outperformed a three-person VA team that Sean had been managing for years.
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PRESIDENTIAL BANK
REAL ESTATE LENDING
15
Meetings booked in 1 month
75%
Meeting show rate
Strategy
Brad Siebert is a loan officer at Presidential Bank with 24 years in the mortgage business, responsible for generating his own business and referrals. His pipeline depends on building relationships with real estate agents across the country who bring him buyers, but working that channel by phone competed directly with the time he needed for loan origination, and on his own he could realistically make only about 50 calls in the time the system makes 250. Brad was initially hesitant about AI, calling it "fake, for lack of a better term," until research showing AI outperforming human callers and a demo of the natural-sounding voices won him over. Outbound System's AI was trained on his approach to agents and set to dial 250 real estate agents a day nationwide, handling objections and booking interested agents directly onto his calendar, often the same day. The AI never gets discouraged by a rejection, it just moves to the next call. Within his first two months, the system booked roughly 15 meetings at about a 75% show rate, without taking a minute away from originating loans.
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"Every day is like coming downstairs to the Christmas tree on Christmas morning. There's a new appointment on my calendar and I didn't have to stop originating loans to get it. There's no way I could make 250 calls a day and still do my job. And the agents have no pushback. I'm not even sure they know it's AI."
Brad Siebert
Loan Officer at PRESIDENTIAL BANK

VERITAS ADS
ADVERTISING AGENCY
19
meetings booked in 2 months
42%
Reply Rate
Strategy
Local service businesses (plumbers, dentists, law firms, auto shops) are a high-volume market where the buying decision is simple: "can you get me more customers in my area?" Veritas Ads needed outreach that answered that question immediately, with proof from businesses their prospects would recognize as peers. We built prospect lists of local service business owners through multi-provider verification, segmented by trade and metro area to enable hyper-specific messaging. Cold email sequences led with local market dominance. Not "we'll grow your business" but "here's how a plumbing company in your metro went from 15 to 45 leads per month." Every metric was localized and trade-specific, making each email feel written for that individual business owner rather than blasted to a list. AI cold calling was a natural fit for this audience. Local business owners are phone-oriented and respond well to a brief, direct conversation about growing their customer base. Calls were timed for late morning when owners have handled their first appointments and have a window to talk. LinkedIn outreach provided a lighter third channel for business owners with active profiles. The multi-channel approach maintained a 42% reply rate and secured 19 meetings in 2 months, with the client noting that most prospects were eager to jump on a phone call immediately, a sign that the outreach had already pre-sold the conversation.
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"The overall quality of leads has been great! Most people we've spoken with have been able to jump on a phone call."
Alex Borkin
Co-Founder at VERITAS ADS


