Why Real Estate’s AI Boom Needs a Governance Layer, Not Just Adoption
Every dataset tells two stories. One is about what a tool can do. The other is about what happens when nobody is watching how it does it. Real estate has spent the past year rushing toward the first story, wiring AI into everything from lead scoring to listing copy to valuation models. What the industry has been slower to build is the second story: the governance, oversight, and risk framework that keeps all that automation trustworthy.
That gap is exactly what a panel at RISMedia’s upcoming CEO & Leadership Exchange, running September 30 through October 2 in Washington, D.C., is set to address. The session, called “Taking the Risk Out of AI,” brings together five people who sit at the intersection of data and decision-making in this industry: Rajeev Sajja, Chief AI & Product Officer at Bright MLS; Marki Lemons Ryhal, Chief Artificial Intelligence Officer at ReMarkiTable; Charles Oppler, CEO of Prominent Properties Sotheby’s International Realty; Amy Gromowski, Head of Data Science at Cotality; and Matthew Rathbun, Executive Vice President at Coldwell Banker Elite.
What stands out about this lineup is the mix of seats at the table. This is not a room of technologists alone. It pairs product and AI leadership with a working brokerage CEO and a data science executive from a major property analytics firm. That combination matters, because the risks in AI adoption rarely show up in the model itself. They show up at the point where an algorithm’s output meets a client relationship, a fair housing obligation, or a firm’s liability exposure.
From where I sit, watching how data infrastructure gets built across this sector, the framing of “guardrails” is the right one. AI in housing works best when it is treated as an intelligence layer that supports judgment, not a black box that replaces it. Brokerages that scored efficiency gains early by bolting AI onto marketing and lead generation are now the same ones asking harder questions about data provenance, model bias, and who is accountable when an automated valuation or a generated disclosure gets something wrong. That is a healthy, necessary maturing of the technology’s role in this industry.
The firms that will benefit most from AI are not the ones adopting it fastest. They are the ones building the oversight to use it responsibly.
For agents, brokers, and the data teams supporting them, sessions like this one signal where institutional attention is heading next. The conversation is shifting from “how do we use AI” to “how do we audit, document, and defend the decisions AI helps us make.” That shift will shape procurement decisions, vendor selection, and internal policy at brokerages long before it shows up in a headline. Firms that build a governance structure now, one that tracks how models are trained, what data feeds them, and where human review sits in the loop, will be the ones positioned to scale AI use without scaling their liability alongside it.
The panel takes place October 1 in the Grand Ballroom as part of RISMedia’s 38th Annual CEO & Leadership Exchange, an event expected to draw more than 400 residential real estate decision-makers and over 100 speakers addressing the trends reshaping the business.
