Real estate is a document-heavy, data-fragmented, relationship-driven industry, which makes it well suited to AI in some places and badly suited in others. The biggest gains are showing up in operations: answering prospective tenants, triaging maintenance, abstracting leases, consolidating portfolio data and underwriting deals faster.
This article covers the real estate business: property managers, owners and operators, commercial teams and investors. For the individual agent’s toolkit of lead response, CRM, listings and transactions, see the companion guide on real estate agents linked at the end.
Adoption Is Accelerating
Research published by EliseAI, a vendor in the market, found that AI adoption in multifamily operations rose from 21% in 2024 to 34% in 2025, and that most operators already using it report lower operating expenses and better lead-to-lease conversion. Vendor research should be read as directional, but the direction is consistent across the sources.
One obligation applies to every tool below that touches applicants or tenants. Fair housing laws apply to automated decisions, communications and advertising exactly as they apply to people. If an AI system screens, prioritises or responds to prospects, you remain responsible for ensuring it does not treat anyone differently on a protected basis.
7 Best AI Software for Real Estate
1. AppFolio Realm-X for Property Management
AppFolio sits between the basic tools small landlords use and the heavyweight systems of the largest institutional portfolios. Its Realm-X suite embeds AI across leasing, maintenance, accounting and resident communication rather than as a separate module, with automated inquiry responses, lease summaries and maintenance requests triaged without a manager touching them. In June 2026 AppFolio added a connector to Claude, letting managers trigger reporting, occupancy analysis and document review governed by AppFolio’s own compliance rules and accounting logic.
Watch out for: platform lock-in. Realm-X is most valuable when you run your whole operation on AppFolio. Its AI is not a reason to adopt the platform on its own.
2. EliseAI for Multifamily Leasing
EliseAI handles the prospect journey from the first inquiry to booking a tour, along with applications, renewals, maintenance requests and resident communication, across voice, text, email and web chat. It is used by more than 600 operators, including 38 of the 50 largest US apartment managers ranked by the National Multifamily Housing Council.
Watch out for: asset class. It is optimised for multifamily, and commercial leasing workflows are not its primary market. CRE operators should validate fit carefully. Pricing is quote-based.
3. Yardi Virtuoso for Institutional Portfolios
For large enterprises and REITs managing hundreds of properties, Yardi remains the core system, and Virtuoso is its AI layer. Portfolios at that scale need AI embedded in the platform that already holds their accounting, leasing and compliance data, with the security certifications and support infrastructure an institutional operator requires.
Watch out for: implementation timelines. Enterprise deployments run to months rather than weeks, and pricing is custom-quoted by portfolio size and features.
4. Prophia for Commercial Lease Abstraction
Commercial leases are long, complex and full of terms that drive revenue: escalations, options, recoveries and critical dates. Prophia reads them and turns them into structured, actionable data, combining AI with human oversight for accuracy. Lease abstraction is foundational work that usually falls to junior staff or outside services, and errors in it compound across a portfolio.
Watch out for: unusual clauses. Standard terms extract reliably; bespoke or heavily negotiated provisions still deserve a legal or asset management review.
5. VTS for Commercial Leasing and Asset Management
VTS is widely used by commercial landlords to manage leasing pipelines and asset performance, and it has been building AI agents into that workflow. Its Proposal AI automates the entry of commercial lease proposals, work that previously consumed a great deal of manual time across leasing teams. Its tenant experience product, VTS Rise, gives occupiers one app for communication, building access and amenities.
Watch out for: adoption by brokers. Leasing platforms depend on the brokers and leasing teams actually entering and updating deals. Plan for that behaviour change.
6. Cherre for Real Estate Data
Real estate data is notoriously fragmented across property management systems, accounting ledgers, market sources and spreadsheets. Cherre ingests, standardises and connects those datasets into a unified layer across asset classes, then feeds that data into pro formas and underwriting models. For investors and asset managers, it is the infrastructure that makes every analytical tool above it more reliable.
Watch out for: the value lag. Data infrastructure pays off only once teams build on it. Tie the project to specific analyses you want to run faster.
7. Showdigs for Single-Family Rentals
Single-family rental managers face a specific problem: showing scattered homes efficiently while protecting prospects from rental scams, where fraudsters copy real listings and collect deposits on properties they do not control. Showdigs combines showing management with AI-driven protections designed to detect and block fraudulent listings, alongside identity verification for prospects.
Watch out for: privacy. Identity verification that uses biometrics carries legal obligations in some jurisdictions. Confirm consent and data handling meet your local requirements.
Choosing by Portfolio
Multifamily operators should start with leasing and resident communication, where volume is highest. Commercial owners get more from lease abstraction and leasing pipeline tools. Institutional portfolios should build on their core platform’s AI and invest in data infrastructure before adding point solutions. Across all of them, AI that sits inside the system you already run tends to outperform tools that sit alongside it.
Related Reading
For the individual agent’s toolkit, including CRM, lead response, virtual staging and listing copy, see best AI software for real estate agents. For bookkeeping and property accounting, see best AI software for bookkeeping.
Final Thoughts
The real estate companies getting value from AI are applying it to the unglamorous middle of the business: the inquiries, the documents and the data. That is where the hours and the errors live. Choose tools that fit your asset class and platform, keep fair housing obligations central to every tenant-facing deployment, and measure results in operating cost and occupancy rather than demos.
Features and adoption figures were accurate as of September 2026. Several figures come from vendor-published research. Pricing is quote-based across most of this category, so confirm terms directly.