Lone Wolf bets future of real estate AI is embedded, not standalone

Lone Wolf Technologies is betting that the next evolution of artificial intelligence (AI) in real estate isn’t another standalone tool — it’s software that quietly works alongside agents and brokers inside the platforms they already use.

That vision took center stage today as Lone Wolf announced Talent, a new AI-powered module for its BrokerMetrics analytics platform, and Aspen, an AI teammate designed to work across Lone Wolf’s entire software ecosystem.

“I’ve talked to so many customers and they share the same sentiment, which is there’s a lot of proliferation in their tech stacks today,” CEO Matt Fischer told HousingWire. “They have to cobble a whole bunch of different point solutions together to get something end to end. And it would be much better, of course, if the platforms were capable of doing all of that in a single spot.”

The announcement comes months after Fischer took over as CEO, positioning the launch as an early milestone in his vision for the company’s AI strategy.

Rather than introducing AI as a separate product, Lone Wolf is embedding it into existing workflows — beginning with Talent and expanding across its broader platform in the months and years ahead.

Talent extends BrokerMetrics’ capabilities by applying AI to one of the industry’s biggest business challenges; recruiting and retaining agents.

The platform’s AI assistants include Recruit, identifying agents whose production and movement patterns fit a brokerage’s growth goals; Pitch, drafting personalized recruiting outreach; Retain, which flags agents who may be at risk of leaving; Answer, responding to questions in plain English; Social Research, which surfaces an agent’s public social activity; and Mapping, allowing brokers to visualize recruiting opportunities within specific geographic areas.

The product also introduces Aspen, which Fischer describes as a digital teammate rather than a chatbot.

“When you look at Aspen, that’s what it’s designed to do,” he said. “It’s really to be a digital teammate for the people [who] are using our software all across the platform. The skills will appear all over the place inside of Lone Wolf solutions, and that’s how I think about Aspen and, more broadly, what I think is going to be happening with AI across the Lone Wolf platform.”

Aspen will eventually expand beyond Talent into transaction management, marketing, back-office operations and other Lone Wolf products.

Making data easier to use

Fischer said helping brokers turn BrokerMetrics information into action can sometimes be challenging.

“We’re sitting on decades of MLS data and agent mobility data and a product in BrokerMetrics that, for a very long time, was the industry standard for understanding those trends,” he said. “The challenge with it has been that it hasn’t been particularly usable, or easy to go find the trends.”

Talent is designed to simplify that process.

“The whole focus of Aspen inside of Talent is to solve that problem and is to say, ‘OK, how do we mine all of this data that we have and try to find the signals through the noise?’” Fischer said. “[It’s about] figuring out who is likely to move — surface it in such a way that, both from a retention perspective and a recruitment perspective, you know where to look.

“It’s not a guarantee that [the] person is likely to move. It’s more like, ‘How do I [use the information from] this thing so I can focus my efforts?’ And then once you have that, you can start to engage these people in a way that removes a lot of the manual work from your plate.”

Shifting focus to retention

The launch follows research commissioned by Lone Wolf that revealed what Fischer called a surprising disconnect within the industry.

According to the company’s 2026 survey, brokerages rated retaining agents significantly more valuable than recruiting new ones. Yet only about 2% reported having a formal retention strategy, while 44% said they do not track flight-risk signals at all.

The survey also found that losing a productive agent costs brokerages roughly $18,000, replacement agents take nearly 200 days to reach full productivity and turnover reduces annual revenue by about 7%.

“They all said retaining agents is more important,” Fischer said. “And so, I’m looking at this data, going, ‘Wait a minute, hold on. Why?’ I think the reason is that there is not a solution that is pointed at the problem.”

He believes most AI investment has focused on recruiting while overlooking opportunities to help brokerages keep productive agents from leaving.

“We haven’t collectively, the industry, pointed the AI and the technology at solving that very specific problem,” Fischer said. “It doesn’t mean that recruiting is not important. It just means there’s this whole other set of use cases and ways that you can mine the data, build outreach and focus people on their current agents.”

Keeping AI inside the workflow

Fischer said one of the biggest obstacles to AI adoption is technology overload.

Agents and brokers already rely on dozens of software products — and asking them to learn another platform often creates more friction than value.

“If it’s a 26th thing out of the 25 tools you already use, and it’s not integrated and connected, and you have to get out of your workflow to go use the AI, it actually perpetuates the problem,” he said. “It doesn’t solve the problem.

“I think it’s incumbent on providers like us, who are the platform providers, to integrate that AI into the workflow where the agents already are. You’re providing solutions where the user already is.”

As an example, he pointed to transaction management, where AI can automate follow up for missing signatures, identify incomplete documents and handle repetitive administrative tasks without requiring users to switch applications.

“You have people chasing signatures and ensuring that documents are filled out properly, and managing all of the follow-up and extracting,” said Fischer. “You’re wondering, ‘Did somebody fill that thing out right or not? I need to go back to them and ask them again.’ All that stuff is just very ripe for automation, and it’s ripe for AI to just improve the experience — both for our customers and also their customers, the buyers and the sellers of the properties themselves.”

Building an AI teammate

Talent is only the first step in Lone Wolf’s broader AI roadmap.

Fischer said users should expect Aspen to continue developing new skills that can be applied across recruiting, transaction coordination, research, communications and other day-to-day tasks.

“I look at it [AI] an amplifier, really,” he said. “I mean, it’s not replacing the human. It’s either extending the person’s reach and [letting them] doing stuff that they otherwise wouldn’t have been able to do before, or it’s letting them offload things that aren’t particularly valuable so that they can focus on what actually matters, which is the relationships they’re building.”

As Aspen expands throughout the platform, Fischer said the goal remains consistent — using AI to make software more useful without making it more complicated.

“They’re going to see Aspen sort of just start to develop skills, almost like a person developing,” he said. “And then just more and more [development], and in more and more places.”