Real Estate AI Agent Felix Qualifies Leads While Keeping Prospects on the Line
Fello, a real estate platform used by about 3,000 teams nationwide, is launching Felix, an AI agent that calls, texts and emails leads autonomously, then hands off qualified prospects to human agents without dropping the call.
The product is in beta with roughly 20 teams and will launch publicly within 30 days, according to Ryan Young, Fello's CEO and co-founder.
The Problem Felix Solves
Real estate teams spend thousands on marketing platforms that generate high-intent leads, then watch those prospects list with competitors because no one followed up. Young leads the Young Team, an Ohio-based operation his parents founded in 2003, and admits his own agents often skip phone calls.
"Fello is amazing. It creates a significant amount of engagement in my database," Young said, summarizing feedback from customers. "Then you're telling me that these people are actually listing their homes with our competition?"
Fello's answer was a running joke among its leadership: Do you want us to call them for you? They decided to build exactly that.
How Felix Works
Felix ingests contact data-property ownership history, equity positions, mortgage type, and MLS activity-then builds an automated outreach strategy for each lead. When a contact's status changes, the strategy updates automatically.
In one demo, Felix detected that a prospect had recently purchased a new property while still owning a home purchased in 2003. Felix's text referenced both properties by address. The prospect engaged, Felix called him, and within hours had transferred the conversation to Young's team as a live listing appointment.
Felix also generates real-time customized content. When a prospect mentioned using a 401(k) for a down payment, Felix sent a personalized email about 401(k) withdrawal strategies for homebuyers-not from a template, but composed in context of that specific conversation.
The Critical Handoff
Most AI calling tools drop prospects on hold when transferring to a human agent, producing roughly a 70 percent drop-off rate before anyone picks up. Felix keeps the prospect in a live conversation while simultaneously briefing the agent on a separate line, then bridges both parties when the human agent confirms they're ready.
Young's team received 30 handoffs on a single Monday during beta testing.
The Voice Question
Getting Felix to sound human required more than a premium text-to-speech engine. Fello layers proprietary prompting and what co-founder Tom Schrader called "disfluency engineering"-deliberate pauses, hesitations and inflection cues-onto third-party voice engines.
In demo calls, two separate prospects told Felix they thought they were talking to a real person. Both continued the conversation after being told the truth.
One prospect said, "If you had told me you were an actual person, I would have believed you." Another called it "one of the most sophisticated AIs I've ever talked to."
Prospects stay on the line longer because Felix draws on rich data. These aren't cold calls. When Felix reaches out, it already knows the prospect's home equity, mortgage type, and properties owned-enough context for a genuinely meaningful 15 to 20-minute conversation.
Compliance and Operations
Fello captures TCPA-compliant consent before Felix initiates calls or texts. The company built its own consent-capture tooling rather than using a third-party service.
Felix is scrubbed against the Do Not Call registry and includes state-specific settings for two-way consent requirements and pre-recorded call disclosures.
The Real Estate Industry Implication
Young set approximately 60 listing appointments for his team during the 90-day beta. He compares Felix not to other AI calling products, but to the inside sales associate model many top teams have built their operations around.
"I can't train an ISA or an agent in 90 days," Young said. "I've had ISAs with me for a year, and they still don't know the homes that we've sold in the past. Felix knows all that stuff, and he knows it instantaneously."
The flip side concerns him. "I can't imagine going back to the old way," Young said. If he lost Felix, he'd suddenly need to hold agents and ISAs accountable for all the calls and texts the AI had made.
Young sees a deeper issue in real estate: most teams are strong salespeople but weak operators. They struggle to create consistent processes and maintain accountability. "We want to be out and about selling, and we struggle for discipline," he said.
Felix addresses that gap by handling operations and consistency, freeing agents to focus on what they do best: selling homes. Learn more about AI agents and automation or explore how AI is reshaping real estate operations with the AI Learning Path for Real Estate Brokers.
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