Custom AI Leasing Agents with Live PMS Integration.

Yes, as long as it sticks to facts and applies them the same way to every caller. The Fair Housing Act prohibits discrimination in housing because of race, color, religion, sex, national origin, familial status, or disability. Our leasing agents run on a deterministic script. It gives the same pricing, availability, and policy information to every caller, with no free-form commentary that could be read as steering.

The agent never improvises an answer about who lives in a community, what a neighborhood is "like," or which building might "suit" a caller. Those are the exact patterns the Department of Justice flags as unlawful steering. Every response comes from a fixed, reviewed answer set covering price, availability, floor plan, pet policy, and amenities. There is no open-ended model generating opinions about location or demographics.

The agent is built to recognize common test-call patterns, such as asking whether children, a disability, or a specific ethnic group would be welcome in a building. It gives the same neutral, factual policy answer it would give any caller, then flags the interaction for a compliance officer to review. Nothing about the call changes based on who is asking.

Yes. The underlying logic does not read tone, name, or accent as an input to what it says. Two callers asking the identical question get the identical factual answer, in the same order, with the same follow-up questions about budget and move-in timing. That consistency is the point: it removes the human variability that most Fair Housing complaints are actually about.

Yes. The agent is hard-coded to redirect any question about a protected class straight to a factual policy statement (for example, occupancy limits that apply to every applicant) and never to a subjective comment. It cannot ask a caller about children, religion, or national origin, and it cannot answer speculative questions about the makeup of a community.

Your management company stays responsible for how the community is leased and for its own Fair Housing compliance. FactoryJet is responsible for building the guardrails correctly and keeping a complete log of what the agent said on every call. Good design limits the risk on both sides: a fixed answer set, human escalation for anything unusual, and a searchable record of every conversation. This is not legal advice.

Yes. Every deployment ships with the full answer set the agent is allowed to give, a change log showing when it was last reviewed, and call-by-call transcripts. Your compliance team or outside counsel can audit exactly what the agent said on any call, on any date, without relying on our word for it.

We build direct, two-way connectors for the platforms most property management companies already run: AppFolio, Yardi (Voyager and Breeze), RealPage, Buildium, and Entrata. That covers reading live unit availability and pricing, and writing back completed tours, qualified leads, and applicant details. Running a smaller or regional PMS? We scope a custom connector against its published API, or work from its scheduled export files if it does not have one.

Yes. Instead of quoting from a static rent roll that goes stale within a day, the agent reads live availability and current pricing straight from your PMS API. That means it never offers a unit that already has an application on it, and it never quotes last week's rent.

Yes. The agent reads real open tour slots from your leasing calendar, whether that is a self-guided tour system, a smart-lock provider, or a shared staff calendar. It books the slot, sends the prospect a confirmation by text, and updates the calendar in the same call, so two agents can never double-book the same unit tour.

Yes. As soon as a caller is qualified, that guest card gets created or updated in your PMS with their budget, desired move-in date, unit-type preference, and pet details. There is no separate manual data-entry step for your leasing staff to catch up on later.

We still take the project. Most PMS platforms publish a developer API, and we scope a custom connector against it the same way we do for AppFolio or Yardi. For older or smaller systems without an API, we build against the scheduled export and import files the platform already supports.

Yes. The agent is configured per property, not per portfolio. Pricing, pet policy, amenity list, and available floor plans are pulled independently for each community, so a caller asking about your downtown high-rise gets that building's real numbers, not a blended answer across your whole portfolio.

It answers incoming calls, texts, and web chat inquiries from prospective tenants around the clock. It schedules tours, qualifies leads on budget, desired move-in date, pets, and unit-type preference, answers factual questions about availability, pricing, and amenities, and follows up automatically with prospects who did not book a tour after their first inquiry.

It changes what your leasing staff spends their day on more than it removes them. The AI takes the repetitive, after-hours, and first-contact volume: "what is available," "what does it cost," "can I see it tomorrow." Your leasing team keeps the conversations that need a person, like closing a lease, handling a hesitant applicant, or resolving a special request. Their time shifts toward the calls that actually convert.

That depends on how many calls, texts, and web inquiries your properties field outside business hours, and how many of those currently go unanswered. Published multifamily industry data shows a large share of prospect inquiries come in by phone and that most callers who reach voicemail will not leave a message or call back. If that pattern matches your portfolio, an agent that answers every one of those contacts on the first ring usually pays for itself in recovered tours and leases, not in staff replaced.

The agent sends an automated reminder before the scheduled tour time, and if a prospect does not show up, it follows up the same day to reschedule or ask what changed. Prospects who go quiet after a missed tour get added to a re-engagement sequence instead of falling out of the pipeline entirely.

Yes. The agent runs on the same logic at 2 p.m. and 2 a.m., in any time zone your portfolio operates in. A prospect searching for an apartment after their own workday ends gets the same accurate answer a daytime caller would, instead of a voicemail box or a "call back during business hours" message.

It walks every caller through the same qualification questions: move-in budget, target move-in date, desired unit type and bedroom count, and whether they have pets. That structured data gets written to the guest card in your PMS, so your leasing team opens a qualified lead file instead of a blank message slip.

The core build focuses on new-prospect leasing calls, since that is where after-hours volume and missed calls hurt the most. We also build renewal reminder and reactivation call flows on request, for practices that want automated outreach ahead of a resident's renewal date, using the same PMS connection.

Both, plus web chat. Many prospects now prefer texting or filling out a web form over calling, especially outside business hours. The agent answers the same qualification and availability questions across phone, SMS, and your website chat widget, and every channel writes back to the same PMS guest card.

The agent recognizes when a request is not a leasing inquiry and routes it correctly instead of guessing. A maintenance emergency gets the same escalation path your maintenance team already uses. A legal, fair housing, or resident-dispute question gets routed straight to a property manager, with no attempt by the AI to resolve it itself.

A standard single-property or small-portfolio deployment takes three to five weeks, from scoping to a live pilot. That covers PMS API authentication, fair housing guardrail configuration, tour-calendar integration, and staff escalation workflows. Larger portfolios on enterprise systems like Yardi Voyager or RealPage sometimes need extra time for API credentialing on the platform side, which we cannot speed up even when our own build work is ready.

Cost mostly depends on three things: how many units and properties the agent covers, how many systems it connects to (your PMS, your tour-calendar or smart-lock platform, your call and text lines), and how much fair housing guardrail configuration your portfolio needs. A single small community connecting to one PMS costs far less to build than a multi-state portfolio needing custom connectors and per-property pricing logic. Weigh that against what missed after-hours calls and unqualified walk-in traffic already cost your leasing pipeline. Ask any vendor for a scoped quote based on your own unit count and systems, not a flat number that ignores your portfolio.

Yes. FactoryJet builds custom infrastructure that you own outright. Every workflow, PMS connector, and guardrail rule set stays your permanent asset, with no vendor lock-in. If your company later wants to bring the system in-house or switch vendors, you get the full codebase, not just an export of your data.

We provide a dashboard showing call and text volume, tour booking rates, and lead-to-tour conversion by property. Property managers can review call transcripts and adjust qualification rules per community. Dashboard access uses role-based permissions, so a regional manager sees portfolio-wide metrics while a single-site leasing office sees only its own property.

The PMS connector itself is built once per platform, not once per property, so a portfolio standardized on one system (all AppFolio, for example) can roll out to additional properties faster than the first pilot site. Each new property still needs its own pricing, availability, and policy configuration loaded in, which usually takes a few days per site rather than the full initial build timeline.

Call and chat data is encrypted in transit and at rest. Applicant information such as income details or Social Security numbers is never spoken back by the agent and is written directly to your PMS or screening provider through an encrypted API connection, not stored in a separate database we control. Access to transcripts and logs is role-based and logged for every view.

There is no single best answer. It depends on your portfolio size, your PMS platform, and how much of your prospect volume already comes in after hours. When evaluating any AI leasing agent, check five things: does it read and write to your actual PMS in real time, does it run hard, deterministic Fair Housing guardrails rather than an open-ended chatbot, do you own the workflow and code or rent it monthly, can it work across phone, text, and web chat, and can you see a real call transcript or demo before committing. A generic customer-service bot can handle simple FAQ traffic. A portfolio juggling fair housing risk and PMS accuracy usually needs something built specifically for leasing, not a retrofitted general-purpose bot.