The Real Brokerage Inc. has introduced Leo Pro, an artificial intelligence platform designed to automate real estate agents’ daily workflows, alongside Referral Central, a tool for managing agent-to-agent referrals within its reZEN operating system. Announced at the company’s RISE conference in Las Vegas, the updates expand Real’s use of AI across lead management, property marketing, transaction coordination and home searches, with agent approvals remaining part of important decisions.
Real Expands Its AI Platform With Leo Pro
Real Brokerage is expanding its enterprise AI strategy with Leo Pro, a platform designed to coordinate tasks across the software real estate agents use to manage their businesses. Instead of requiring agents to select individual AI models or write detailed prompts, the system interprets requests and routes work to capabilities intended to complete them.
The platform operates within reZEN, Real’s proprietary operating system, and is designed to connect marketing, customer relationship management (CRM), listings and transaction workflows. Real also announced Referral Central, which brings agent-to-agent referral discovery, agreements and tracking into the same environment.
The announcements, made at the company’s annual RISE agent conference, reflect a broader shift in enterprise AI from conversational assistants toward systems that can execute multistep tasks across business applications. The practical question is whether these tools can reduce administrative work while maintaining the oversight required for high-value transactions and client relationships.
AI Agents Target Everyday Real Estate Tasks
Leo Pro can turn property photos into video tours, create social media content, prepare listing presentations and develop marketing materials. Connected to an agent’s CRM, it can also identify contacts who may be preparing to buy or sell, re-engage inactive leads and follow up with prospects according to agent-defined preferences.
Other workflows include booking showings, sharing properties that match saved searches and helping move transactions forward. Real says the platform can continue working while agents are meeting clients or away from the office, with approval required before important actions are taken.
The approach resembles the emerging category of AI agents: software systems that interpret goals, select tools and coordinate multiple steps rather than simply generating text in response to a prompt. Microsoft, Google, Salesforce and other enterprise software providers are pursuing related approaches, although the capabilities and levels of autonomy vary across products.
Real has not disclosed independent performance benchmarks, quantified productivity improvements or detailed technical information about the underlying models in the announcement. Those details will matter in assessing how reliably Leo Pro handles complex workflows and how its performance compares with other AI automation platforms.
A Library of Agents and a No-Code Builder
Real says more than three dozen specialized Leo Pro AI agents are available, covering functions such as marketing, listings, transactions and business operations. The company plans to expand the library over time.
The platform uses Leo Tokens, allowing agents to pay for the work they need instead of committing to software subscriptions for capabilities they may rarely use. Real did not provide token prices or enough information to compare the model’s overall cost with competing AI services.
Leo Pro AI Builder adds a no-code development option. Agents and teams can create, test and customize specialized AI agents around their own processes without building an application from scratch. This could make workflow automation more accessible to smaller businesses that lack dedicated AI engineering teams, although the announcement does not detail integration limits, governance controls or deployment safeguards.
Leo Pro Voice adds conversational access, enabling agents to give instructions and approve tasks verbally. Meanwhile, Leo Pro AiRM connects CRM information with AI-powered lead nurturing. It can follow up with prospects, revive inactive conversations and bring interactions into a single inbox. By combining CRM data with property and ownership information, the system can also identify contacts who may be approaching a buying or selling decision.
These features put workflow orchestration, voice interfaces and business-specific AI agents at the center of Real’s product strategy. Their value will depend on data quality, integration reliability and whether agents can understand and control the actions taken on their behalf.
HeyLeo Extends AI Into the Home Search
Real is also expanding HeyLeo, its consumer-facing AI home-search concierge, through its website and mobile app. Clients can search for properties, ask questions and take steps such as scheduling a showing, while their agent remains informed and can intervene when professional guidance is needed.
New features include Leo Line, a dedicated number clients can text to reach their agent; SMS notifications for new leads and conversations; persistent consumer accounts that retain interaction context; and Agent-Run Search & Send, which lets agents curate and share properties directly from a Leo conversation.
The design creates a connection between consumer-facing AI and the agent’s operational workflow. However, the announcement does not specify how property recommendations are validated, how personal information is retained or what safeguards govern AI-generated answers. Those issues are important when an AI assistant influences decisions involving housing, finances and sensitive personal information.
Referral Central Brings Network Activity Into reZEN
Referral Central addresses a different operational challenge: helping agents find suitable colleagues to serve clients in other locations or specialist markets. The tool uses production data and service areas to identify potential matches, supports referral agreements and tracks referrals sent or received.
Agents can also list areas of expertise, helping colleagues locate professionals with relevant market knowledge. Bringing discovery, agreements and tracking into reZEN could reduce the administrative friction involved in coordinating referrals across a distributed brokerage network.
Real says Referral Central will be available to all its agents at RISE. The company also referenced its recent acquisition of RE/MAX as part of its broader strategy to connect agents with additional resources, although it did not quantify the expected effect of the referral platform on business volume.
The Enterprise AI Challenge Is Execution, Not Just Generation
Leo Pro illustrates how vertical AI platforms are moving beyond content generation toward coordinated execution within specialized industries. Real estate offers a clear use case because agents routinely switch among CRMs, listing systems, marketing tools, scheduling and client communications.
The opportunity is to consolidate those workflows without removing human judgment from negotiations, client advice or consequential transaction decisions. The challenge is proving that automation works consistently across real-world data and third-party systems.
For Real, the next measure of success will be operational evidence: adoption, task completion rates, reliability, costs and the extent to which agents retain meaningful control. Until those metrics are available, Leo Pro is a notable expansion of vertical AI functionality, but its business impact remains to be demonstrated.
Market Landscape
Enterprise AI is evolving from standalone chatbots toward agentic systems that can use tools, coordinate workflows and operate within existing business software. Real’s Leo Pro applies this model to real estate, combining CRM automation, marketing generation, transaction assistance and consumer home-search support.
The competitive landscape includes Microsoft’s Copilot ecosystem, Google’s enterprise AI offerings, Salesforce’s AI agents and NVIDIA’s infrastructure for AI development and deployment. These products serve different layers of the market, but collectively illustrate the shift toward AI embedded in everyday business operations.
Real’s differentiation is its real estate-specific workflow context, connection to reZEN and focus on agent-led client relationships. Its longer-term position will depend on execution reliability, data protection, integration breadth, pricing transparency and measurable agent adoption.
Top Insights
- Workflow automation: Leo Pro coordinates marketing, CRM, listing and transaction tasks, positioning AI as an operational assistant rather than a standalone content-generation tool.
- Specialized AI agents: Real reports more than three dozen agents and offers a no-code builder for teams seeking customized real estate workflows.
- Human oversight: The company says agents retain control over client relationships and approve important actions, a key consideration for consequential property transactions.
- Consumer AI: HeyLeo connects property discovery and client conversations with agent workflows, extending AI assistance beyond internal brokerage operations.
- Referral management: Referral Central consolidates agent discovery, agreements and tracking in reZEN, potentially simplifying collaboration across Real’s network.
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