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Rayse Releases RAE, a Conversational AI Engine That Works the Way Agents Do

March 9th, 2026

Major platform update addresses industry-wide engagement challenges by flipping the script on how prop tech works: instead of agents adapting to the platform, Rayse now adapts to agents.

Rayse, today announced the launch of RAE (Rayse Assistant Engine), a conversational AI built directly into the Rayse Agent Value Platform. Think of it as a personal assistant that lives on the agent’s phone: always available, always listening, always working. The update represents a fundamental shift in how real estate agents interact with their technology, allowing them to log work, update client journeys, and drive the platform through natural voice or text conversation.

The release comes as Rayse, which is distributed through MLS and association partnerships nationwide, addresses what has been the industry’s most persistent technology challenge: getting agents to consistently engage with platforms designed to help them.

The Problem RAE Solves

For years, prop tech has asked agents to conform to rigid workflows. Log in to a portal. Click through forms. Follow a prescribed process. The tools were built for how software companies think agents should work, not for how agents actually work.

The Rayse platform was built from the start to solve a very real problem: showing clients the hidden value their agent provides throughout a transaction. The platform captures the behind-the-scenes work that clients never see, from property research and lender coordination to showing logistics and negotiation prep, and presents it through a professional client portal.

The concept resonated immediately. But even with a purpose-built platform, the act of logging that work still required time and effort from agents whose days are unpredictable by nature.

“I went to my listing today and worked for 4.5 hours. I swapped out lightbulbs, cleaned the oven, swept the garage, cleaned the pool. Where do I put that in Rayse?”

That was real feedback from an agent. Fair question. A lot of work. A lot of value. But too much friction to capture the old way.

How RAE Changes the Equation

With RAE, that same agent now sends a quick voice note or text: “Spent 4.5 hours at the Highland listing today. Swapped lightbulbs, cleaned the oven, swept the garage, cleaned the pool, prepped for staging.”

RAE understands the context, logs every activity with appropriate categorization and duration, and the agent’s client sees 4.5 hours of documented value in their portal. No login. No forms. No behavior change required.

The AI handles complex, multi-activity updates just as easily. An agent can describe an entire morning of showings, a financing conversation over coffee, a lender call on the drive home, and hours of comp research, all in a single conversational message. RAE parses it all, logs it accurately, and keeps the client journey current.

Built from the Ground Up, Not Bolted On

RAE is not a third-party AI service layered onto the Rayse platform. It was engineered internally, running on Rayse’s own backend and API infrastructure. No agent or client data ever leaves the Rayse system. The architecture is LLM-agnostic, giving Rayse the flexibility to evolve with the AI landscape without disrupting the agent experience.

For MLS organizations and associations recommending Rayse to their members, this distinction matters. In an environment where data privacy and security are paramount, Rayse handles member and client information within a closed system built to meet enterprise-grade standards.

A Platform That Finally Works the Way Agents Do

The Rayse Agent Value Platform was designed to combat negative consumer sentiment about agents by pulling the curtain back on the work that happens behind the scenes. Activity logging, client journey tracking, milestone documentation, and a professional client portal all work together to make agents look like the professionals they are.

RAE is the connective layer that makes all of it effortless. Agents simply converse with RAE throughout their day, and the platform does the rest: logging activities, advancing journeys, updating client-facing portals, and building presentation-ready documentation of their work.

“The shift is simple. We stopped asking agents to work the way our platform works. Rayse now works the way agents work. They talk or text about what they’re doing, and RAE handles everything else. Their clients see every showing, every call, every hour of prep work, automatically. That’s the breakthrough.”
— Christian Dwiggins, Co-CEO, Rayse

Early Response and What’s Next

Since launch, Rayse reports that user engagement and adoption metrics are trending upward across its MLS partner network, with agents responding enthusiastically to the conversational interface and the reduction in platform friction.

RAE’s capabilities are expanding rapidly, and the roadmap leans further into what makes a great assistant indispensable. Journey summaries let agents ask “Where are we with the Johnsons?” and get an instant, conversational status update on progress, completed milestones, and what’s outstanding.

Beyond that, RAE is becoming proactive. It reminds agents of logged to-dos they haven’t circled back on. It flags when a client journey has stalled and suggests what to do next. It notices patterns, like three showings on the same property, and nudges the agent toward the next logical step. In short, RAE is evolving into the kind of personal assistant every agent wishes they had: one that keeps track of everything, never forgets a detail, and always knows what needs to happen next.

Investing in Agents, Not Just Technology

The RAE launch is part of a broader Rayse philosophy around agent investment. The company has built an engagement strategy centered on masterclass-format programming featuring respected industry voices, designed not as product demos but as genuine professional development for agents.

Where many technology companies use virtual events and webinars as thinly-veiled sales pitches, Rayse has taken a different approach: bring conversations and education to agents that are valuable regardless of the platform. The content is about making agents better at their craft, not about making them better at using Rayse.

The strategy reflects the company’s broader thesis. When you invest in agents first, engagement with the platform follows naturally.


About Rayse

Rayse is the Agent Value Platform, purpose-built to help real estate agents demonstrate their value to clients throughout every transaction. Distributed through MLS and association partnerships, Rayse combines activity logging, client journey tracking, and a professional client portal with RAE, a conversational AI engine that lets agents drive the entire platform through natural voice or text updates. The result: agents look like the professionals they are, and clients see every bit of work being done on their behalf.