Build custom AI agents for brokerages, developers, property managers, REITs, and PropTech companies. Automate lead qualification, property search, showing coordination, lease workflows, transaction follow-up, and deal analysis inside the systems your teams already use.
Software isn't the problem; manual handoffs are. Deals stall while teams bottleneck the process by manually updating CRMs, searching inventory, and scheduling showings. Custom AI agents bridge this gap by connecting your existing systems to automate workflows—looping in humans only when real judgment is needed.
Fail when rules vary by market, team, or transaction stage.
Agents built around your pipeline, routing, and escalation logic.
Can surface data but not update listings, tasks, or lead status.
Read and write across CRM, MLS, IDX, and property management systems.
Expired listings, missing disclosures, or unusual requests stop workflows cold.
Edge cases route to the right person with full context.
Audit controls and privacy rules retrofitted after architecture is set.
Permissions, logs, and compliance baked in from day one.
Each agent is built for a real workflow. The goal is simple: reduce manual back-and-forth without losing control of the deal.
Capture web, portal, phone, and ad inquiries. Score urgency, budget fit, location interest, and buyer or seller intent before routing the lead.
Match buyers, tenants, or investors to available properties using budget, location, amenities, timing, property type, and internal business rules.
Track deadlines, documents, signatures, contingencies, approvals, and next steps across the full transaction.
Monitor lease dates, send renewal prompts, answer tenant questions, triage requests, and escalate issues that need human attention.
Pull listing data, sales history, comparable properties, and market notes to prepare draft CMA insights for agent review.
Read rent rolls, operating statements, market data, and property documents. Summarize deal risks, assumptions, and underwriting inputs.
Draft listing descriptions, enrich property records, check required fields, and prepare listings for approved publishing channels.
Check availability, coordinate time slots, send reminders, reduce no-shows, and log showing activity back into the CRM.
Review leases, abstracts, financials, inspection files, zoning notes, and tenant documents to help teams move faster during review.
Real estate AI agents need more than a model and a chat window. They need memory, permissions, system access, testing, and clear limits.
Request a PoC ProposalA central orchestrator routes work to specialist agents for leads, listings, showings, documents, tenants, valuation, and reporting.
Agents keep track of context across the lifecycle of a lead, listing, lease, transaction, or portfolio review.
Agents update approved records, notes, tasks, statuses, documents, and workflow outcomes inside connected systems.
The system escalates edge cases, sensitive actions, low-confidence outputs, and approval-based tasks to human users.
We map the workflow, users, systems, data sources, decision points, and actions the agent needs to support.
We review CRM, MLS, tenant, transaction, document, and property data. Privacy, fair housing, access, and audit needs are defined here.
We design the agent system, choose the right models, build retrieval pipelines, and test against real workflow scenarios.
We connect approved systems, validate read and write actions, and launch a controlled pilot with human oversight.
We track accuracy, handoffs, workflow throughput, adoption, and escalation quality after launch.
Real estate AI touches buyer data, seller data, tenant records, financial documents, listing details, and communication history. The architecture has to treat that data carefully.
Request a PoC ProposalSensitive buyer, seller, tenant, and investor information can be masked or tokenized before model interaction.
Property recommendations, lead communication, and tenant-facing workflows are designed with fair housing review points and policy limits.
Agents only access the records, fields, and actions approved for each user role.
System actions and key decisions are logged so teams can review what happened and why.
Retention, deletion, access, consent, and processing rules are mapped during discovery.
Agents can run in cloud, private VPC, or controlled enterprise environments depending on security needs.
Every agent starts with your process, your data, your systems, and your approval rules.
We build for lead flow, listings, leases, tenant operations, transactions, underwriting, and portfolio workflows.
Agents connect with CRMs, MLS feeds, property platforms, document tools, and custom internal systems.
Privacy controls, fair housing guardrails, role-based access, and logs are part of the build.
Book a discovery call with a Folio3 real estate AI architect. We will review your workflow, systems, data readiness, compliance needs, and automation goals. You will leave with a clearer view of what can be built, what needs to be connected, and where an AI agent can make the most difference.
Book a Discovery Call Now!
Fill the form below or Contact us at +1 408 365-4638 / email us via contact@folio3.ai
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
