7 Best Leasing Call Answering Tools for Landlords 2027

Key Takeaways

• Pick the category before the brand: a dedicated voice agent, a voice add-on tied to your property management system, an AI receptionist with minutes included, or a human answering service.

• CallRail's Voice Assist has the most specific dated two-way Yardi integration among the vendors we opened, announced March 5, 2026.

• Four of the seven vendors publish no price for their voice product on the pages we opened, so their numbers will come from a written quote.

• Published prices run from Dialzara's Business Lite plan at $29 a month to Smith.ai's human Pro plan at $2,100 a month, but those plans sell different services.

• Ask every vendor for its integration list, write-back fields and escalation rules in writing, because integration claims on vendor sites often do not match one another.

• A do-it-yourself stack in Zapier, Make or n8n can be a fair alternative if someone on your team owns monitoring, retries and escalation.

The category decision comes before the vendor

A leasing call answering tool is software that picks up inbound calls from prospective renters, answers routine leasing questions, books tours, and passes anything it cannot resolve to a person.

TL;DR: If you run Yardi and already use call tracking, start with CallRail's Voice Assist. If you want a voice-first agent and will accept a quote, shortlist EliseAI, Zuma and Funnel Leasing. If a person must answer every call, Smith.ai's published human plans give the clearest price. If budget is the main constraint and you can live with minute caps, check Dialzara and My AI Front Desk first.

Four categories show up in this market. The first is dedicated voice-first leasing agents, where the phone agent is sold alongside leasing software (EliseAI, Zuma and Funnel Leasing). The second is voice tools built on a phone-tracking or CRM platform that reads your property management system (CallRail). The third is low-cost AI receptionists that sell minutes in monthly bundles (My AI Front Desk and Dialzara). The fourth is human answering services, where Smith.ai is the example in this guide.

Adoption is still uneven. RENX survey: 44% of Canadian operators fully deployed AI according to RENX (2026). That survey of 50 multifamily operators was released by EliseAI, which is one of the vendors below, so treat it as directional. A 2010 trade article also reported that a typical property missed nearly half of its leasing-office calls, according to Multifamily Executive (2010). That figure is old, but it is the clearest independent benchmark we found that names a number.

How we evaluated these tools

This guide is built only from public information: each vendor's own product and pricing pages, plus independent or trade sources where we could open them. We did not run any of these products, and nothing here is a measured ranking. The weights below are our judgment about what matters to a small owner choosing a leasing call tool. Integration depth carries the most weight because a voice agent that cannot read availability or write a tour back to your system creates double entry and stale answers. Call scope and pricing structure come next, since per-call, per-minute and per-unit models behave very differently as volume changes.

Feature matrix across seven tools

The facts below come from the vendor pages we opened. A blank or "not confirmed" cell means we could not verify the feature on the pages we read, which is not the same as saying the feature is missing.

What each tool costs, as published

Pricing checked November 8, 2026. Where a vendor publishes no figure, the table says so rather than estimating one.

Starter plan, human-staffed: $300/month for 30 calls according to Smith.ai (2026). Smith.ai's Basic plan is $810 a month for 90 calls and its Pro plan is $2,100 a month for 300 calls, with per-call overages of $11.50, $10.50 and $8.50 on those tiers. Its Enterprise tier is quote-only.

Base voice plan: $79 to $99/month for 200 minutes according to My AI Front Desk (2026). The Business-in-a-Box plan is $99 a month, or $79 a month billed annually, and it includes 1,000 overage credits with auto-reload, so spend can continue after the included minutes run out.

Read the table by unit of cost. Smith.ai's per-call model rises with volume, so it suits low call counts and complex calls that need a person. Dialzara and My AI Front Desk sell minutes, which caps spend until you exceed the bundle. Zuma and Funnel scale with doors rather than calls. Third-party listings show AI receptionist prices for Smith.ai that do not match its own pricing page, so we left them out. CallRail's own pricing page would not load in our session, and its former Yardi page now redirects to its integrations index, so we list no CallRail price.

Vendor profiles, with published facts kept apart from our read

Each profile starts with what the vendor's page says, then gives our read on best fit and limitations, then implementation notes and the primary evidence.

EliseAI

Published facts: EliseAI's VoiceAI page says the product answers "every leasing and resident call," works around the clock, schedules tours, and handles maintenance, renewals and rent-payment questions. It logs each conversation in EliseCRM. The homepage describes inbound and outbound calling. We found no price on the pages we opened.

Our read: EliseAI fits an owner who wants one AI system for calls, texts and resident messages and can accept a quote-based contract. Its voice page names EliseCRM as the only system it syncs with. It mentions "live PMS/CRM syncing" without naming a property management system, so do not assume a Yardi, AppFolio or Buildium connection until it appears in a written spec. Limitations: no price on the pages we read, and no onboarding steps. Implementation: ask for the integration list, the write-back fields for tours and leads, and the rules for calls it cannot resolve. Evidence: EliseAI VoiceAI page.

Zuma

Published facts: Zuma's VoiceAI page describes an agent named Kelsey that answers leasing calls around the clock, gives pricing and availability information, books and confirms tours, and transfers calls to maintenance or the leasing office under rules you set. Its pricing page prices Leasing AI "per unit, per month subscription (30 day terms)," and says native voice call handling is included in Leasing AI with no additional expense. A standalone VoiceAI price is not published, according to Zuma (2026).

Our read: Zuma fits an operator who wants voice bundled with leasing software and is comfortable paying per unit. Per-unit pricing scales with doors, not calls, so a building with heavy call volume costs the same as a quiet one. The full platform also includes collections AI, which may be unnecessary if you only need calls. The VoiceAI page shows logos for Entrata, Yardi and RealPage but does not explain how each connection works. Implementation: choose the call types Kelsey handles, connect through a Zuma number or traffic forwarding, and decide whether Kelsey or the office answers first. The page gives no onboarding timeline. Evidence: Zuma VoiceAI page.

Funnel Leasing

Published facts: Funnel's packages page lists an Agent Platform that includes Fenix AI with "prospect, resident, and voice AI agents," and a Renter Platform add-on for applications, screening, payments and renewals. It says per-unit and per-month prices are not published and directs buyers to sales. The page does not mention ACE. LeaseHawk's ACE page now redirects to Funnel's home page.

Our read: Funnel fits an owner who wants voice agents inside a broader communications and CRM stack and expects to buy a bundle. The packages page does not say whether the voice agent sits in the base price. Limitations: no price, no PMS integration named, and an unclear status for ACE as a standalone product. Ask Funnel for its PMS connector list and whether ACE is still sold separately. Implementation is sales-led, so ask for a written onboarding plan with a go-live date and a data-mapping sheet. Evidence: Funnel packages page.

CallRail

Published facts: CallRail's blog announced on March 5, 2026 that Voice Assist, its AI voice agent, has a two-way integration with Yardi, and that the integration is available now. The integration pulls real-time property data from Yardi for availability and pricing questions and syncs call insights back into Yardi. Destination CRM reported the two-way direction on March 6, 2026, according to Destination CRM (2026). CallRail's announcement says Voice Assist answers calls, shares property information and qualifies leads, according to CallRail (2026). We found no CallRail price on the pages we opened.

Our read: The best fit is an owner already on Yardi who uses CallRail for call tracking, because the integration starts from data you already have. Limitations: it is tied to Yardi, we found no CallRail price, and the announcement names no Yardi product tier. Implementation: the announcement lists no setup steps, so ask CallRail for a data-mapping sheet before you buy. Evidence: CallRail announcement.

My AI Front Desk

Published facts: The pricing page lists Business-in-a-Box and names Zapier as its only integration. Its Yardi page says the product reads availability, pricing and prospect records through "Yardi's API and supported partner channels," writes back guest cards, tour appointments and call notes, and names Yardi Voyager 7S, Voyager One, Breeze and RentCafe CRM. The same page gives a four-week rollout, with a week-three pilot at "2-3 communities," and describes AI call scoring and QA flags. That rollout is according to My AI Front Desk (2026).

Our read: This vendor gives the most specific integration detail among the AI-first receptionists we opened, but every claim is vendor-written. Its timing claims vary between sections, so ask for a dated plan. Limitations: no integration other than Zapier appears on the pricing page, and we did not find Yardi documentation to confirm the write-back fields. Because overage credits auto-reload, a busy month can raise spend without a new decision. Implementation: the vendor's own schedule runs integration and sync in week one, voice and script tuning in week two, a pilot in week three and portfolio rollout from week four. Evidence: My AI Front Desk pricing.

Smith.ai

Published facts: Smith.ai's pricing page lists human virtual receptionist plans: Starter, Basic and Pro, with Enterprise on a custom quote. The page describes live-staffed agents available around the clock. The published prices appear in the pricing section above.

Our read: Smith.ai fits an owner who wants a person on the phone for complex calls and accepts a per-call cost. On the pages we opened, it is not a leasing-software tool, and the pricing page names no property management integration. Limitations: the cost per call is higher at the lower tiers, and no PMS write-back is published. Implementation: the pricing page does not describe onboarding, so ask for call-script setup and escalation rules before you sign. Evidence: Smith.ai pricing page.

Dialzara

Published facts: Dialzara's pricing page lists Business Lite at $29 a month with 60 minutes, and places Business Pro, Business Plus and Business Elite between $99 and $349 a month. Business Lite plan: $29/month for 60 minutes according to Dialzara (2026). The entry plan names "CRM/calendar integration," and the page does not publish PMS integrations. Its AI SMS agent is $19 a month plus $0.05 per AI message.

Our read: Dialzara fits a small owner who wants the lowest published entry price and has a CRM or calendar but no property management system feed. Red flags: no published PMS integration, a Done for You price that is not guaranteed, and minute caps that make after-hours overage rules matter. Implementation: the page does not describe onboarding, so ask for it. Evidence: Dialzara pricing.

Where US Tech Automations fits the leasing call workflow

Most of the vendors above answer the phone. The gap is what happens after the call: a lead record, a tour request on the property management calendar, and a text that matches the unit the caller asked about. US Tech Automations designs, builds and supports custom AI automation workflows, and its site lists real estate and property management among the agent types it offers. The two workflows below are proposed, configurable designs, not descriptions of a deployed setup, and they assume a voice tool sends a transcript or event that the workflow can read.

Proposed workflow one handles after-hours leasing calls. The trigger is a call to the leasing number that ends outside office hours without a transfer, or a transcript posted by the voice tool. The workflow reads unit availability and asking rent from a PMS export or API, drafts a text reply with the unit details the caller asked about, and creates a CRM task for the leasing team. The output is a lead record with the caller's name, unit interest and move-in date, plus a queued text. Prerequisites are read access to the PMS listing or availability data, a CRM with an API, and written consent rules for texting. Human review points: a person approves every outbound text during the first 30 days, and any reply that quotes rent, fees or deposits goes to staff before it is sent.

Proposed workflow two moves the call summary into the property management system. The trigger is a completed call with a transcript. The workflow extracts the caller's name, unit interest and requested tour time, then compares them with the existing guest record before it writes anything. The output is a draft guest card or tour request, marked for staff confirmation. Prerequisites are a PMS write endpoint or an import template, plus confirmation from the PMS vendor of which fields can be written. Human review points: staff confirm any tour before it reaches the calendar, and any fair-housing-sensitive question routes to a person rather than an automated answer.

Who this is for

Who this is for: an owner or operations lead at a small property management business who takes leasing calls during and outside office hours, uses a property management system with an export or API, and needs a decision this quarter rather than a long pilot. No staff size or unit count is required.

Red flags: no export or API access to your property management system, no written integration list or write-back fields from the vendor, or a tool that would answer fee or screening questions with no route to a person.

The DIY alternative: Zapier, Make, n8n, or in-house

The common alternative is to stitch a voice tool to your CRM with Zapier, Make or n8n, or to build the flow in-house. Those platforms can keep run histories, retry failed steps, branch on errors and store audit logs when someone configures them that way. The buyer still owns the design: who checks the run history and how often, idempotency so a retried call does not create two guest cards, escalation to a person, access controls on PMS credentials, and maintenance when the PMS or voice vendor changes its API.

A proposed US Tech Automations design would set up the same flow as a managed workflow, with run history, retry and error-branch logic designed in advance and the human review points written into the design. That moves the maintenance question to the vendor, which helps only if you want that trade. You still need the PMS credentials, the consent rules and a named approver. If you have someone who will own the flow for years, the DIY route costs less in software and more in attention.

When a simpler tool wins

US Tech Automations would not be the right purchase in three situations. If you only need missed calls sent to a shared text inbox, a basic text-back tool you already own covers that. If your PMS cannot expose availability or pricing even by export, a static FAQ line will serve you better than a workflow that has to guess at unit data. If you want one vendor to answer the phone and nothing else, a human answering service such as the Smith.ai plans above keeps the scope simpler.

Decision checklist

1. Name your property management system and confirm whether it offers an API, an export or a partner channel.

2. Pick a category: dedicated voice agent, PMS-linked add-on, AI receptionist with minutes, or human service.

3. Ask for the integration list, write-back fields and escalation rules in writing.

4. Get the price in writing per call, per minute, per unit or per month, plus overage and auto-reload terms.

5. Confirm consent and disclosure handling for any outbound AI calls, since the FCC treats AI-generated voices as artificial voices under the TCPA.

6. Run a 30-day pilot that counts answered calls, tours booked and transfers to staff.

7. Confirm who owns call transcripts and how long they are stored.

Common mistakes

• Buying on call count without checking overage and auto-reload terms.

• Assuming a PMS integration because a logo appears on a page. Zuma's logos show a relationship, not a described connection.

• Skipping the human handoff path. A caller asking about a fee or a complaint should reach a person.

• Confusing missed-call text-back with voice answering. A guide to missed-call text-back software for car dealerships explains the text side of that workflow, which is a different decision from picking a voice agent.

Worked example: one illustrative month of calls

Illustrative scenario, not a customer: one owner receives 45 leasing calls in a month, and 15 of them arrive after a 6 p.m. office close. On Smith.ai's human Starter plan, the first 30 calls cost $300, and each of the 15 extra calls adds $11.50, so the month comes to $300 + (15 × $11.50) = $472.50. In a proposed design, the answering service handles the calls and each caller's record is written into a HubSpot CRM. The HubSpot webhook design would listen for the ASSOCIATION_ADDED action, which HubSpot's webhook documentation lists as an action, so a follow-up task fires only after a call record links to a contact. The owner still needs PMS credentials, consent rules for texts, and a person to clear the follow-up queue each morning.

Frequently asked questions

Can an AI tool answer leasing calls without replacing staff?

Yes, a voice agent can take first-contact questions and book tours, while staff keep calls that need judgment, such as complaints, applications and fee disputes. Configure the handoff rules before you go live, not after the first complaint.

Do I need a property management system integration?

Not always, but without one your team re-keys tour and lead data by hand, and availability answers can go stale. Of the vendors above, CallRail's Yardi integration and My AI Front Desk's Yardi page are the most specific about write-back.

Is an AI voice agent allowed to call renters?

Outbound calls with AI-generated voices fall under the TCPA's artificial-voice rules, which require prior consent, identification of the caller and opt-out methods for telemarketing. The FCC adopted that ruling on February 8, 2024, according to Mayer Brown (2024). Have counsel confirm how it applies to your renter communications.

Why do several vendors show no price?

On the pages we opened, several vendors publish no price for their voice product, so treat that as a quote request rather than a sign the product is free. Ask for the price in writing with the overage and renewal terms.

What is the published price range?

Published prices run from $29 a month for Dialzara's Business Lite plan to $2,100 a month for Smith.ai's human Pro plan, but those are different services. Compare them by what each includes, not by the headline number.

What should I ask a vendor before signing?

Ask for the integration list, write-back fields, escalation rules, overage and auto-reload terms, consent handling and transcript retention, all in writing.

Conclusion

Start with your property management system. If you use Yardi and already run call tracking, CallRail's Voice Assist is the most specific published integration in this guide. If you need a person on every call, Smith.ai's published human plans give the clearest price. If your system is unknown, get the integration list before you compare anything else. For the record and follow-up side of the workflow, you can see how US Tech Automations configures this.