Stay independent, compete at scale: AI is rewriting the brokerage playbook

For many independent real estate brokerages, competing with national franchises’ market insight has long meant a painful choice; stay boutique or surrender your brand and hang a new sign.

But Tim Rodland — founder of Rodland Real Estate in The Bahamas — believes artificial intelligence (AI) has changed that calculation entirely.

His company is introducing RoRo, an AI platform that delivers real-time market intelligence through a voice-driven conversational interface, to the U.S. market ahead of a phased global rollout.

Unlike traditional analytics platforms that rely on static dashboards, RoRo interprets live market data in real time — connecting pricing behavior, timing and micro-market trends.

Rodland sat down with HousingWire to explain how independent brokerages can now compete at scale without losing their identity.

Editor’s note: This interview has been edited for length and clarity.

Jonathan Delozier: With all the consolidation happening in real estate, what are the biggest hurdles right now for an independent brokerage that technology alone might not be able to solve?

Tim Rodland: I think that most of the challenges that many independents have is they don’t have access to technology. Independents had two opportunities back in the day, or up to this point; stay small or join another larger system. Those were their two options.

We’re trying to scale independence by offering technology that was not available before. With AI and the new technologies that are out there these days, a lot of things have changed. People have evolved, and we’ve evolved fast. We were one of the first independents — I don’t know if we’re the first — to build infrastructure that the independent brokerage can actually use and adopt and apply into their own existing systems, rather than joining a unified end-to-end system.

Delozier: Where are today’s real estate AI tools falling short for brokers in everyday practice?

Rodland: I think most of the software, the tools that you’ve seen out there, are focused on the agent, so retail. Each agent gets their own tool and can say, ‘Hey, I got Claude or I got ChatGPT or I got this tool.’ None of it is unified on a brokerage level.

We work with you, implement your workflows into the tool and you distribute it amongst your agents. It’s an internal platform rather than fragmentation and disjointed tools that work differently for different persons. There’s a lot of little retail tools out there, but none that I’m aware of that operate from a B2B angle.

Delozier: What kind of decisions are brokers currently making with incomplete or outdated information, and what are the worst consequences?

Rodland: Listen, it’s like anything when you misdiagnose, whether that’s with a doctor or any other type of professional. With RoRo, we actually tie into MLS systems or any listing data repositories. As a sale updates today, the data changes tomorrow. Our tool works in real time.

Before this tool existed, let’s say you’re selling in Springfield. You would have to go online and do a bunch of research, download all the comps and the information, plug it into a spreadsheet, run formulas on the back end and then come back to the client. What we’ve done is integrated a lot of these systems and tools so that we can give the agent this information in real time, within half the time.

We are saving brokerages and agents time — so they can be out in the field doing what they love; connecting with people, building relationships and selling real estate. If you save more time, you’re able to sell more real estate.

Delozier: How does RoRo differ from other platforms that just show static charts?

Rodland: We are actually a tool where you can query the data. If I said, “How is the market in Springfield, Massachusetts, right now?” it can give me a whole breakdown of what’s happening.

I can ask, “What’s the average days on market for this segment?” and it can tell me. I can ask, “If I price the property at two thirds of the average price, how long will it take to sell?” It can give you estimates.

One of the hardest things in real estate is gaining experience. With RoRo, we actually help you with the experience level because you can ingest and question and answer this data. You can say, “What does that mean for investors? What does that mean for sellers?” It gives real insightful information that they wouldn’t have access to like this before — without doing a substantial amount of research.

Delozier: With firms adopting tools like RoRo, what safeguards or industry standards are still missing when it comes to data ownership and transparency?

Rodland: Every MLS has different rules and regulations on how the data is treated. We abide by those rules. Every listing data repository has their own rules. Every brokerage has their own confidentiality. That’s why we wanted to build our system where you can integrate your tools.

The way we built RoRo is completely separate. If you’re in Texas, you see Texas data. If you’re in New York, you see New York data. Their data is separate from everybody else’s. It’s not like you’re pulling in everybody’s data across the board.

For independent brokers, Rodland hopes to make the choice between scale and identity no longer mutually exclusive — offering a third path to leverage AI and think bigger.