Southlake's Top Gun Team Redefines Agent Support with AI-Prioritized Call Center

In the competitive Dallas–Fort Worth real estate market, the Top Gun Team at Epique Realty in Southlake, TX, is challenging traditional notions of agent support. Led by founder Justin Nimergood, the team has implemented a system that uses AI-prioritized call centers to handle cold outreach, freeing agents to concentrate on activities that directly generate commissions.

Nimergood identifies cold calling as one of the most persistent inefficiencies in real estate team operations. He argues that licensed agents spending hours dialing contacts who rarely answer is time that produces no revenue and detracts from what he calls commission-generating activities (CGAs) – showings, negotiations, client consultations, and follow-up with warm prospects. "When a lead is cold, they need to be warmed up again before we're going to be able to have any real effect on them," Nimergood says. For a team aiming to scale, every hour spent on cold outreach compounds into missed opportunities elsewhere.

The solution lies in a partnership with Angel AI, a company providing an AI-supported call center staffed by human callers based in Dallas–Fort Worth. The process begins when the Top Gun Team submits a call list and script. Angel AI's "responsive AI" then scans publicly available data, including production records and online activity, to rank contacts by priority. The most promising prospects are called first and most frequently. After calls, the AI analyzes recorded conversations for buying signals and generates a report identifying which contacts showed genuine interest. Nimergood describes the outcome: of 100 people called, perhaps 10 answer, and of those, the system identifies five as priority leads based on conversational cues. Agents receive this filtered list instead of sorting through raw call logs.

The reporting layer is particularly valuable, according to Nimergood. It automatically surfaces which cold contacts to prioritize, allowing agents to focus personal outreach on those who have already demonstrated engagement. Additionally, the system removes contacts from the pipeline entirely when AI analysis indicates a prospect is no longer in the market. "It lets us know if they're no longer in the market for a home or whatnot," Nimergood says. "Then we take them out of our funnel, or we archive them. The point is, we don't waste our time with initiatives that are not productive." This addresses the common problem of stale leads consuming resources, improving the signal-to-noise ratio in the team's pipeline.

While fully automated AI voice calling exists, Nimergood is deliberate about keeping human callers based in Texas. He believes the technology is not yet ready for deployment at scale. "I think that will have a place, and that does have a place in our industry, but not quite yet," he says. "It hasn't been ironed out or perfected yet." He also notes that international call centers can create perception issues due to stereotypes. The domestic, human-caller model balances full automation and in-house calling, mitigating both reputational risk and opportunity cost.

This approach illustrates how agent teams are beginning to treat outreach infrastructure as a distinct operational layer, separate from the work agents do once a lead is warm. Nimergood applies this principle broadly: agents focus on CGAs while support systems handle lower-value tasks. "If they want to be top-producing agents, they have to minimize their administrative time, and they have to maximize their CGA time," he says. For teams managing growing lead volumes, the ability to process and triage large numbers of contacts without burdening agents determines whether adding more leads translates into more closed deals or simply more unanswered calls.

By leveraging AI and domestic human callers, the Top Gun Team is demonstrating how real estate teams can optimize their operations, ensuring that agent time is spent on activities that truly drive business forward.