Industry

AI use cases in real estate

Property managers, developers, brokers and housing associations: tenant service, leasing and property operations.

Use cases: 10
Deployments: 44
Organizations: 42
Outcome disclosed: 73%

10 Real estate use cases

42 organizations in 8 countries run these use cases in public. 73% of those 44 deployments disclose a measurable outcome.

Real estate

AI agent for apartment leasing inquiries and resident service

An AI leasing and resident service agent answers rental prospects and residents by chat, text, email and phone for a property manager. It answers questions about apartments and policies, books tours, takes maintenance requests, sends renewal and payment reminders, and hands anything that needs judgment to leasing or service staff.

Deployments

13 public, best grade B

Reported conversion uplift

18%

Landmark Properties, vendor claim

Cross industryBanking

AI agent for branch finding and appointment booking

A branch and appointment booking agent is a conversational AI that finds the nearest suitable location and books an in person or video appointment with the right specialist. It checks opening hours and services offered, and records the visit reason so staff are prepared. In banking it answers where the nearest branch is and books the mortgage or business banker; retail, healthcare and property have the same job.

Deployments

4 public, best grade B

Autonomy

Autonomous

Real estate

AI conversational property search assistant for real estate portals

A property search assistant is a conversational AI on a real estate portal that lets buyers and renters search, compare and narrow down homes in plain language instead of filters. It also answers affordability and neighborhood questions from the portal's own listing and market data, and hands the shopper to a tour booking or a local agent.

Deployments

7 public, best grade B

Autonomy

Supervised agent

Real estateCross industry

AI for building HVAC and energy optimization

Building energy optimization is AI that continuously predicts a building's heating, cooling and ventilation needs and adjusts its systems in real time to use less energy. It changes setpoints, equipment sequencing and start times through the existing building management system, instead of following fixed schedules, so no person has to retune it by hand.

Deployments

9 public, best grade C

Median energy savings, vendor reported

15.8%

5 deployments

Real estate

AI for construction schedule and progress tracking

AI construction progress tracking matches site photos to the schedule and BIM model to show what is actually built, for site teams and owners. The photos are captured with a hardhat mounted camera on regular site walks and compared with planned tasks and quantities, so teams see where trades are behind and where installed work does not match the design, without walking the site by hand.

Deployments

2 public, best grade C

Reported productivity gain

95%

Layton Construction, vendor claim

BankingReal estate

AI home loan assistant with pre qualification

An AI home loan assistant with pre qualification answers a customer's home loan questions and runs indicative borrowing estimates, then books the customer with a mortgage specialist. It covers rates, loan to value, fees and the documents needed, runs the affordability estimate from the bank's published rules, and stays grounded in the bank's current, versioned product and policy documents.

Deployments

6 public, best grade B

Autonomy

Supervised agent

BankingReal estate

AI income and document verification for mortgage underwriting

AI income and document verification is software that classifies a mortgage application's documents and calculates the borrower's qualifying income for underwriters. It classifies the pay stubs, bank statements, tax forms and other documents, applies the investor's or agency's own income rules, checks documents for signs of alteration, and sends only low confidence or unusual files to an underwriter, with every calculated figure linked to its source page.

Deployments

9 public, best grade C

Median handling time reduction, vendor reported

78.5%

4 deployments, 2 "up to" values left out

Real estate

AI lease abstraction for commercial real estate

AI lease abstraction reads a commercial lease, amendment or letter of intent and pulls out the key terms into structured data for property owners, occupiers and brokerages. The terms include parties, dates, rent, escalations, options and renewal notices, so nobody has to retype every clause by hand into the lease administration and portfolio systems.

Deployments

10 public, best grade C

Reported productivity gain

90%

Claroty, vendor claim

Real estateBanking

AI support for property valuation and appraisal

AI property valuation support, most often an automated valuation model, estimates a property's market value from comparable sales, characteristics and location data. It either offers to replace a full appraisal within set limits, or gives a professional valuer a first pass estimate, the closest comparable sales and a reliability score, so the valuer's time goes to properties that need a person's judgment.

Deployments

8 public, best grade A

Autonomy

Supervised agent

Real estate

AI tenant screening with fair housing safeguards

AI tenant screening scores how likely a rental applicant is to pay rent reliably, helping a landlord decide whether to accept, decline or ask for a higher deposit. The machine learning model draws on credit, rental payment history, eviction records and income, and is built and operated so the score and the process around it do not produce a disparate impact on people protected by fair housing law.

Deployments

6 public, best grade C

Autonomy

Supervised agent

Free PDF playbook

AI use cases in real estate: the playbook

10 use cases with deployments, value, playbooks and governance, in one document for your team.

What the evidence says

Computed from the 44 public deployments behind these use cases at real estate organizations. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Real estate use cases
KPI	Median	Reported range	Data points	Claimed by
Energy savings	27.5% vendor reported	15.8% to 42.7%	3	3 vendor

Business functions

AI patterns used

Deployments by stage

Pilot
5
Production
27
Scaled
11
Paused or rolled back
1

Public deployments by region

North America
35
Europe
5
Asia Pacific
2
Middle East
1
Latin America
1

Organizations with a public deployment

Al Habtoor Real Estate
American Dream
Asset Living
AvalonBay Communities
Avenue5 Residential
CAF Management
CF Real Estate
Camden Property Trust
Cammeby's International
CoStar Group
Continental Realty Corporation
Cushman & Wakefield
Derwent London
Equity Residential
GoldOller
Innovatus Capital Partners
JLL (Jones Lang LaSalle)
JVM
Kane Realty Corporation
Landmark Properties
Landsec
Lantower Residential
Layton Construction
Loft
MOGUL.sg
Matrix Residential
Mountain Development Corp.
NCC
Olympus Property
Oxford Companies
R.A. Snyder Properties
REA Group
RPM Living
Realtor.com
Redfin
Rightmove
SRG Residential
Spear Street Capital
Urban Renaissance Group
WinnCompanies
Zillow Group
idealista

The same use cases in other industries

30 public deployments at 30 organizations outside real estate run these use cases too. They are not counted in the numbers above; each use case page shows them.

Other industries

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KPI benchmarks

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