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AI use cases

AI use cases in real estate

15 AI agents that real estate companies run today, grouped by the team they work for. For each one: the process, what the AI does, where people step in and the result the company reported.

Customer service

In production

50% reduction in overheads

Resident contact center inquiries

Canadian residential landlord

What the AI does: Deflects simple resident inquiries and reduces contact center call volume.
Where people step in: Agents handle complex, high-impact support.
Systems: Contact center

In production · reported 2026

+2-3% move-ins

Tenant service and end-to-end unit rentals

US self-storage management company

What the AI does: Runs about 30 set journeys, including missed payments, gate access restoration and unit rentals, gating account info behind authentication and good standing.
Where people step in: The facility management system has final say on access; some questions are off-limits.
Systems: Facility management system · Phone · Web chat · Kiosk

In production

Internal ticket volume -65%

Resident billing support by chat and voice

US water submetering company

What the AI does: Answers residents' billing questions over chat and voice.
Where people step in: Installers and property managers reach human support faster through escalation.
Systems: Helpdesk · Web chat · Phone

In production

-72% AHT

Phone support for drivers at parking barriers

Dutch bookable private parking operator

What the AI does: Answers calls, verifies the booking in real time, looks up the location, opens the right barrier and confirms the driver is through.
Where people step in: Hardware faults or expired bookings go to a human agent with full context.
Systems: Phone · Booking system · Barrier control

In production · reported 2026

66% of qualified calls resolved

Tenant phone service for repairs and rent

German public housing association

What the AI does: Identifies tenants, retrieves information in real time, triggers processes and updates records in the ERP, deleting personal log data on schedule.
Where people step in: Defined fallback scenarios and routing logic are in place.
Systems: ERP · Phone

Sales

In production · reported 2025

1.1M agentic workflows/month

After-hours lead response and tour scheduling

US homebuilder, 30 states

What the AI does: Answers buyer questions by SMS and web chat, books home tours, creates and prioritizes leads, and drafts outreach and follow-ups for consultants.
Where people step in: Consultants pick up conversations by day and review drafted follow-ups; fair housing guardrails apply.
Systems: CRM · SMS · Web chat · ERP

In production

30-40% productivity gain (target)

Sales rep meeting prep and CRM updates

US title insurer

What the AI does: Prepares reps each morning with account history and relationship maps, handles post-meeting follow-up and proposes CRM record updates, following the sales playbook.
Where people step in: Reps review and approve proposed record updates before anything changes.
Systems: CRM · Data platform · BI

In production

Bookings per day +42%

Booking sales agent assist and coaching

US family resort company, 28 resorts

What the AI does: Gives sales agents hints, call flows and suggested responses during calls, with transcripts available for manager coaching.
Where people step in: Managers review transcripts for coaching; agents can escalate easily to managers.
Systems: Knowledge base

In production · reported 2026

+2-3% move-ins

Tenant service and end-to-end unit rentals

US self-storage management company

What the AI does: Runs about 30 set journeys, including missed payments, gate access restoration and unit rentals, gating account info behind authentication and good standing.
Where people step in: The facility management system has final say on access; some questions are off-limits.
Systems: Facility management system · Phone · Web chat · Kiosk

In production · reported 2025

94% of inquiries handled on first conversation

Prospect inquiries and tour booking

US multifamily rental software provider

What the AI does: Answers prospect and renter questions in 20+ languages, books tours in the CRM and creates tasks for on-site teams.
Where people step in: Leasing associates pick up conversations that need human attention.
Systems: CRM · Web chat · Phone

Operations

In production

-72% AHT

Phone support for drivers at parking barriers

Dutch bookable private parking operator

What the AI does: Answers calls, verifies the booking in real time, looks up the location, opens the right barrier and confirms the driver is through.
Where people step in: Hardware faults or expired bookings go to a human agent with full context.
Systems: Phone · Booking system · Barrier control

In production · reported 2026

66% of qualified calls resolved

Tenant phone service for repairs and rent

German public housing association

What the AI does: Identifies tenants, retrieves information in real time, triggers processes and updates records in the ERP, deleting personal log data on schedule.
Where people step in: Defined fallback scenarios and routing logic are in place.
Systems: ERP · Phone

In production

Lease abstraction 6h-3 days → real time

Lease abstraction from non-standard leases

Global commercial real estate services firm

What the AI does: Abstracts leases of any length in multiple languages with consistent logic, giving brokers lease insights in real time.

Finance

In production · reported 2022

84% automation rate

Invoice data capture before 3-way match

UK real estate company

What the AI does: Extracts invoice data into the company's workflow, where invoices go on to 3-way matching and payment.
Where people step in: People validate non-automated items at about 4.5 seconds per document.
Systems: Workflow app

In production · reported 2024

47% straight through, 72% no-touch

AP invoice coding and approval

Global HOA management company

What the AI does: Predicts invoice coding and processes invoices from ingestion to approval, sending eligible invoices straight through with no human intervention.
Where people step in: Invoice processors review invoices not sent straight through; 72% need no changes.
Systems: ERP

In production

$20M annual savings

Budget consolidation and forecasting across units

North American construction company

What the AI does: Ingests spreadsheet budget files from every site, maps them to one schema and answers natural-language questions with links to each source cell.
Where people step in: People validate results, with a clear audit trail.
Systems: Spreadsheets

In production

Accuracy back to 90% (from 35%)

Business rates demand and liability reconciliation

UK commercial real estate firm

What the AI does: Processes rate demands and liability orders end to end, reconciles high-confidence data, shows liability and deadline dashboards and generates challenge letters.
Where people step in: Exceptions are flagged for review.

In production

Internal ticket volume -65%

Resident billing support by chat and voice

US water submetering company

What the AI does: Answers residents' billing questions over chat and voice.
Where people step in: Installers and property managers reach human support faster through escalation.
Systems: Helpdesk · Web chat · Phone

Marketing

In production · reported 2025

47% more likely to request a tour

Conversational home search

US real estate brokerage

What the AI does: Scans millions of listings to match fuzzy criteria like good natural light and pushes back on unrealistic budget and criteria combinations.
Systems: Listings database

Anonymised summaries of public case studies published from 2023 to 2026. Company and vendor names are withheld. Figures are as the companies reported them; they are not Retexa results.

Questions

AI in real estate

What are the most common AI use cases in real estate?

In the 15 public cases we collected, AI agents in real estate work mostly in customer service, sales and finance. Examples: resident contact center inquiries; tenant service and end-to-end unit rentals; resident billing support by chat and voice.

Where do people stay in the loop?

Each card says where people step in. In this industry, for example: agents handle complex, high-impact support; the facility management system has final say on access; some questions are off-limits.

Are these Retexa results?

No. These are anonymised summaries of public case studies from 2023 to 2026, with company and vendor names withheld. Figures are as the companies reported them. Retexa builds the same kind of agents on top of the systems you already run.

Other industries

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