RealReports is taking its AI-powered platform directly to agents. Troy Palmquist talks with Zach Gorman about how AI can help agents look ahead.

If you’ve been following the development of AI for real estate over the past few years, it has been mostly sold as a productivity tool to make agents more efficient.

  • Let AI write the email.
  • Let AI summarize the document.
  • Let AI pull the comps.
  • Let AI answer the question while you’re driving.

Although all of these may be useful day-to-day, not every agent is drowning in work that needs to be automated. In fact, some agents are drowning because they don’t have enough work to do.

The traditional real estate agent, the one that everybody’s really trying to market to, doesn’t necessarily need time back. They need to know where their next deal is coming from.

For RealReports’ co-founder, Zach Gorman, that need for consistent and effective opportunity is the real gap AI can fill.

The tech industry confuses productivity with progress

Automation in and of itself isn’t bad, but it assumes an existing workflow that’s worth optimizing. It promises that if you get a handle on your endless list of to-dos, you’ll buy yourself extra time that you can invest in more lead gen, more client communication or more leisure time.

For a highly productive agent with 30 transactions in the pipeline, shaving time off a CMA or client email might be meaningful. For an agent who hasn’t had a closing in six months, it’s not.

As Gorman brought AI into his own workflow, he found that his output increased dramatically, not merely because of the time savings but also in terms of the quality of his decision-making and results, adding “leverage across everything I touch, every domain,” he said.

From there, his team set out to reproduce that experience, not just by making agents faster at executing tasks, but by helping them figure out what’s worth doing in the first place and then putting that work into motion.

Moving from chatbot to Business Momentum Engine 

Gorman describes the new RealReports as “the clearest realization yet of the company’s founding vision.” Launched on Aug. 24, the enhanced platform is positioned as a “Business Momentum Engine,” combining three layers: nationwide property intelligence, a connected suite of business-building tools and a more powerful, agentic version of its built-in AI, Aiden. 

The company says the revamped platform is designed to help real estate professionals identify opportunities, make informed decisions, and execute on key initiatives.

RealReports data has been assembled from more than 100 providers, spanning more than 150 million properties, in what Gorman describes as a “living property knowledge graph.” Platform tools include property reports, prospecting for listings, a full CMA suite and client engagement functionality.

Instead of a chatbot waiting for a user to ask it a question, Aiden becomes an advisor, using context from the various tools and integrations to surface opportunities and help agents act on them.

Here are a couple of scenarios taken from Gorman’s product demo:

Scenario 1: Preparing for an existing opportunity

An agent has scheduled an upcoming buyer strategy meeting. Aiden recognizes the meeting through connected calendar and CRM integrations, contextualizes it and identifies the property involved, then prepares the agent for the meeting. 

Aiden can pull the property report, assemble talking points, generate a CMA and prepare client communications, all without the agent weighing in on which tools to open or what sequence of tasks to perform. Gorman describes this as adding both “value and velocity” to the upcoming meeting prep.

Scenario 2: Generating a new opportunity

Gorman describes an agent who closed a property six months ago, but isn’t sure what to do next.

Aiden identifies an opportunity to farm the same neighborhood and will:

  • Identify relevant properties and audiences
  • Analyze the potential economics
  • Recommend a campaign strategy
  • Prepare postcard creative and messaging
  • Connect the campaign to a RealReport
  • Track subsequent engagement
  • Feed relevant activity back into the agent’s broader technology stack

In this scenario, the AI isn’t just making an already-productive agent more productive. It’s attempting to answer the question that hangs over every agent’s business: What should I do today that could lead to my next transaction?

“I believe every agent should be able to open RealReports every day and see something meaningful they can do to generate new business or move an existing opportunity forward,” Gorman said. 

Built to work with the tools agents already use

Gorman said it’s important to him that “RealReports integrates seamlessly with the core tools agents have already chosen,” pulling relevant information from their existing stack, using context to identify opportunities, then pushing relevant information back into the agent’s systems. 

That requires integrations with CRMS, calendars, email, Canva, accounting software, cloud storage, plus messaging and transaction management platforms. Gorman said the company expects to expand from a dozen integrations at launch to 50 by the end of the year.

“The key is adding intelligence without adding friction,” Gorman said. “We want agents to keep working with the tools that already serve them, while RealReports connects the signals across those systems and turns them into timely, actionable opportunities.”

Bringing RealReports to practitioners nationwide

RealReports has historically reached agents primarily through MLS and brokerage partnerships, signing more than 50 such partnerships in 2025 alone.

Now, RealReports is making the platform more broadly available to individual agents. Gorman describes direct access as an expansion of the company’s strategy, not a departure from its work with MLSs and brokerages.

Currently, individual agents are working from a fragmented technology stack — some provided by their brokerage, some through their MLS and others that they’ve selected and paid for themselves. RealReports’ new platform is designed to pull that together through access to the agent’s MLS, emails and existing automations.

That allows individual agents to go from “What can AI do for me?” to “Which opportunities do I want to take advantage of right now?” That shift creates a fundamentally different relationship — and level of investment — between agent and technology.

Instead of opening a tool and requesting a task, the system is watching for context and opportunities:

  • A past client just completed a transaction.
  • A homeowner’s property has changed materially in value.
  • A buyer meeting is tomorrow.
  • A neighborhood has a concentration of likely sellers.
  • A lead has engaged with a report.
  • A transaction has closed and should trigger a nurture sequence.

That allows Aiden to say, “Here’s the opportunity. Here’s why it matters. Here’s what it might be worth. Here’s what I recommend doing next.”

While that may sound exciting, it can also sound scary, so RealReports doesn’t propose fully autonomous execution on Day 1. “You can only violate trust once,” Gorman said, “and you lose somebody forever.” That’s why the system is designed to ask the agent to authorize actions involving spending, sending or publishing, providing efficiency gains with less risk.

The next generation of real estate AI won’t be defined by how convincingly it imitates a great admin. It will be defined by whether it can help an agent recognize and act on the next opportunity before it passes them by.

Troy Palmquist is the founder and principal at HomeCode Advisors. Connect with him on LinkedIn.

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