Lead qualification
Collect budget, timeline, financing stage, property type, location, and viewing readiness through a fluid call.
REAL ESTATE / SOLUTION 02
An AI voice agent for every property conversation.
Qualify inbound demand, answer from live property knowledge, schedule viewings, and keep follow-up moving around the clock without losing context.
From a voice response to an operating system.
Real estate demand arrives when teams are driving, showing properties, or working across time zones. A missed call can mean a lost instruction, tenant, buyer, or viewing. An IronHeart.AI-powered real estate assistant answers immediately, discovers intent through natural conversation, and captures the facts an agent actually needs.
The assistant can retrieve listing details from a governed property knowledge base instead of improvising. It can discuss availability, location, amenities, price bands, viewing requirements, and next steps while respecting the boundaries set by the brokerage. When a question requires professional judgment, the conversation is handed to the right person with a useful summary.
Persistent context improves the follow-up experience. A returning lead does not need to repeat preferred neighborhoods, budget range, bedroom count, move date, or communication language when retention is permitted. The system can continue the journey through scheduled calls, CRM tasks, and reminders rather than treating every interaction as an isolated transcript.
Property knowledge
Use retrieval to answer from approved listings and brokerage information while reducing unsupported responses.
CRM follow-up
Create or update records, assign agents, schedule viewings, and trigger multilingual follow-up workflows.
24/7 voice coverage
Serve international buyers, tenants, and owners with consistent availability and responsive turn taking.
Designed around the handoff to human agents
Automation is most useful when it gives agents better conversations, not more noise. IronHeart.AI orchestration can rank urgency, route by territory or listing, and attach a structured brief before handoff. Offline and edge components can also support property kiosks or sales galleries where network quality varies. The brokerage controls qualification rules, data access, and escalation.
Implementation should start with one market and a clean listing feed. Brokerages can compare the assistant’s captured requirements with agent notes, review where callers ask unsupported questions, and tune handoff thresholds before expanding coverage. A separate test set should include stale listings, ambiguous addresses, financing questions, distressed callers, and requests that require licensed judgment. This makes the real estate AI assistant valuable as an intake and continuity layer while keeping negotiations, representation, and advice with the professionals accountable for them.
IronHeart.AI Runtime brings realtime voice, memory, governed knowledge retrieval, agent orchestration, and edge deployment into a common execution layer. Explore the runtime architecture, review Robotics Brain, or compare options in pricing.
FAQ
Questions before you build.
Can the agent answer questions about current listings?
Yes, when connected to an approved and regularly updated property data source through the knowledge layer.
Does it replace a licensed real estate professional?
No. It handles information, qualification, scheduling, and workflow support; professional advice and regulated decisions stay with qualified humans.
Can it speak more than one language?
The runtime can support multilingual experiences, subject to the selected voice and language configuration.
What happens after a qualified call?
The system can update a CRM, schedule a viewing, notify the assigned agent, and pass along a structured conversation summary.