Two real estate technology companies released new AI tools to automate routine tasks for agents and brokerages, embedding large language models into daily workflows.
Rechat links AI assistants to agent data
Rechat introduced a Model Context Protocol server that connects AI assistants like Claude and ChatGPT to its platform. The system allows agents to use these tools for managing contacts, creating marketing materials, updating listings, and tracking transactions within Rechat’s interface.
Agents control which functions the AI can perform through permission-based access. Developers can already build on the MCP server, while agents and brokerages may join a waitlist for direct access.
Audie Chamberlain, Rechat’s VP of strategic growth and communications, stated that agents already keep an AI assistant open all day. The missing piece was connecting it to their actual business. Now they can ask Claude to launch a campaign or monitor deals, all within Rechat using their own data and branding.
The company’s AI assistant, Lucy, remains part of the platform. The MCP server expands its capabilities by allowing third-party AI tools to interact with agent data.
These tools may alter how agents spend their time. If follow-ups and marketing are automated, agents could focus more on client interactions. Brokerages will decide whether to adopt the system or wait for competitors to offer something easier to use.
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RealAnalytica builds an AI workforce for brokerages
RealAnalytica launched Atlas Agents, an AI system described as a workforce for real estate professionals. The tool automates recurring tasks across CRM, email, MLS data, marketing, recruiting, and transactions, supporting over 30 integrations.
Atlas Agents operates continuously in the background, monitoring listings and transactions. It flags opportunities and executes approved workflows. Brokerages can customize the system to align with their operating rules and branding.
The product arrives pre-trained on real estate-specific skills, cutting the time agents spend setting up tasks. At launch, it includes tools for lead follow-up, client engagement, listing analysis, transaction management, and custom workflows.
The company emphasized that agents keep control of client relationships and decisions. The product provides the operating capacity of a larger team without requiring additional hires.
Both systems target manual work reduction, though their effectiveness will hinge on handling edge cases like unusual client requests. If successful, smaller brokerages could achieve the efficiency of larger teams without added costs. Excess fees in real estate transactions may also decline as automation reduces overhead.
Rechat’s MCP server is available to developers now, while Atlas Agents is live for early users. Neither company has shared pricing or full rollout timelines.