The best AI automation for real estate and property businesses in Australia

MRI's Property Tree is trust-compliant property management software, and its AI Assistant answers routine portal enquiries and common tenant questions and sets up in 30 minutes. Its AI for real estate work covers extracting data from leases, contracts and legal documents. Property Tree starts from $130 a month ex GST per 100 properties, with the AI tier quoted on request.

McGrath Canterbury-Bankstown gained 300 new customers a year on Property Tree, and Rhodes Realty, Crown Group and Ristic Real Estate are named clients on the same page.

• Strongest on: works with your systems, with full marks, level with Aivy. Its 9 on property proof is one point behind Revium, Rex AI and Reapit.
• Loses on: vendor and tenant data, 3. The pages read state no storage location, and its no-training line covers only data read through Google Workspace.

Aivy builds the automation and integrates it alongside PropertyMe, Console, Box+Dice, AgentBox and MyDesktop rather than replacing the CRM. It qualifies buyer and tenant enquiries from realestate.com.au and Domain, and its document work extracts Section 32s, sales contracts, leases and rental applications.

Builds run on Australian-hosted infrastructure, and its privacy policy says client data does not train AI models. The first agency workflow is live in 4 to 6 weeks, and most clients pay in the low five-figure range for a pilot.

• Strongest on: works with your systems, with full marks, level with MRI Software. It also has full marks on vendor and tenant data, level with Rex AI, Hourglass AI and Reapit.
• Loses on: property proof, 0. No real estate client is named on the pages read.

Revium designs, builds and deploys production AI with the client's team and embeds it in the systems a business already runs rather than replacing them. Its in-house chatbot responds to customer enquiries, and it ingests websites, PDFs and Word documents to answer from. All development and deployment happens in Australia, and the firm is ISO 27001 certified. Its AI Kickstart programme costs $7,820 ex GST and says it delivers results within four weeks.

For the Real Estate Institute of Victoria it built an AI search and chatbot that logged 7,500 conversations in the first three months. Its other property work is websites: 15 project websites in three months for Cedar Woods Properties, and sites for Jinding Developments.

• Strongest on: property proof, with full marks, level with Rex AI and Reapit. It also has full marks on inbox and document work, level with nine others.
• Loses on: works with your systems, 3. No real estate system and no email or office suite is named on the pages read.

Rex AI sits inside the Rex real estate CRM. One prompt can create the buyer, log the offer and draft the email to the vendor, and every email is held for review before it sends. Its sub-processor register lists Australian storage for business intelligence data and says data in the AI context window is never used for model training.

Stockdale & Leggo saves 9.5 hours per agent per week, and the same case study says the office was onboarded by lunchtime. Presence Real Estate saves 25 hours a week.

• Strongest on: property proof, with full marks, level with Revium and Reapit. It also has full marks on vendor and tenant data, level with Aivy, Hourglass AI and Reapit.
• Loses on: published price, 0. Its pricing page asks agencies to request a quote.

AI Compass builds and manages the agents and handles all maintenance and updates. For real estate it names open home follow-ups and rental application processing, and its agents route enquiries and update the CRM. A Starter agent costs $5,000 to set up and then $697 a month ex GST, and typically goes live within three to four weeks.

Its privacy policy follows the Australian Privacy Principles in the Privacy Act 1988. Brokers for QLD and Kawana Chamber of Commerce are named clients running its agents.

• Strongest on: published price, with full marks, level with Hourglass AI, Loudachris and AIssie.
• Loses on: property proof, 0. Its named clients are not real estate or property businesses.

Hourglass AI builds and maintains the AI for Australian companies of 10 to 100 people, so the business needs no engineer of its own. When models change or things break, fixing them is Hourglass' job. Its Company AI Brain takes in the email, files, meeting notes, CRM and other systems a business already runs. It turns them into one source of truth, hosted on the client's own server. Most clients find information 60 to 80% faster within 30 days.

Its AI Inbox reads, sorts and prioritises every email overnight and pre-drafts the replies in each person's own voice. It never sends or deletes on its own. The same brain powers document processing and pre-meeting briefs. Client data stays on the client's own servers and accounts, is not used to train third-party AI models, and is handled under the Privacy Act 1988.

A first build is live in one to two weeks, at $5,000 to $25,000, with maintenance at about $1,000 a month. Its September 2026 update counts seven clients on monthly retainers, and it is hiring a full-time engineer in Melbourne to start on property and finance work.

Co-founder Michael Batko spent eight years leading Startmate, which backed 228 companies with first cheques in that time. One Hourglass agent now scores 100% at filing information in the right place. It was measured at 62% right, then given a test to pass, co-founder Finlay Ekins reported in September 2026.

• Strongest on: runs without an engineer, vendor and tenant data, time to first build and published price, with full marks on all four, 40 of 40 points.

Chris Lourenco builds the chatbots and workflow automations himself, then monitors and maintains them. His property management build reads every tenant email, classifies it and drafts a reply for a person to send. He integrates with Rex, Agentbox, PropertyTree and Console. Most agencies go live in two to three weeks.

Workflow automation costs $2,500 to $15,000, plus $500 to $2,000 a month for management, and the AI audit runs from free to $1,500.

• Strongest on: published price, with full marks, level with AI Compass, Hourglass AI and AIssie. It also has full marks on time to first build, level with seven others.
• Loses on: property proof, 0. Its real estate example is labelled illustrative, not a specific client.

AIssie answers calls and replies on SMS, website chat and social channels, and for agencies it qualifies the enquiry and books inspections and appraisals into the calendar. Most agencies are running it within a few days, voice plans start at $99 a month, and a free trial needs no credit card. Its security page says customer content is never used to train general AI models. In an article AIssie supplied to Atomic Agents, it says the assistant can be trained on a business's own PDFs and files and answers only from the facts provided.

• Strongest on: published price, with full marks, level with AI Compass, Hourglass AI and Loudachris. It also has full marks on time to first build, level with seven others, and on inbox and document work, level with nine others.
• Loses on: property proof, 0. Its named clients are in freight, retail and hospitality.

Reapit is a real estate CRM and property management platform. Its AI automation sends automatic responses to every sales enquiry, classifies enquiries by intent and summarises referee answers. Reapit Verify is its end-to-end AML/CTF solution, for the identity checks real estate professionals must run under AUSTRAC's reforms, which apply to them from 1 July 2026.

McGrath North Lakes grew from 70 to 1,500 properties under management on Reapit. Stone Real Estate Illawarra, Matthews Real Estate and Ray White Whitsunday have case studies on the same page. Reapit told Real Estate Today that its AI assistant runs within each customer's private, secure data environment, and that no customer data is shared across businesses.

• Strongest on: property proof, with full marks, level with Revium and Rex AI. It also has full marks on vendor and tenant data, level with Aivy, Rex AI and Hourglass AI.
• Loses on: time to first build and published price, 0 each. Neither appears on the pages read.

Reply with AiMe drafts replies inside the PropertyMe inbox for a property manager to review and approve. Bills AI reads a supplier invoice and pulls out the amounts, and the platform automates rent reviews, inspections and arrears. The Advanced plan with Reply with AiMe is $215 a month incl GST per 100 properties.

Coronis Group reports an 80% property manager retention rate on PropertyMe.

• Strongest on: property proof, at 9, level with MRI Software and one point behind Revium, Rex AI and Reapit.
• Loses on: time to first build, 0. No go-live time appears on the pages read.

Ential designs, builds and deploys custom automation systems and provides ongoing support, with build and implementation in weeks 2 to 8. Its Brisbane page describes, as a sample, a New Farm real estate office where every enquiry gets a tailored reply and a booked inspection inside four minutes. Ential also states Australian hosting. A free assessment comes first, then an A$7,500 AI Operations Deep Dive.

• Strongest on: inbox and document work, with full marks, level with nine others.
• Loses on: works with your systems, 6. No real estate system is named on the pages read.

Osher Digital designs and implements custom AI agents and maintains what it builds. For an ACT property inspection company it used OCR bots to extract data from government PDFs and projected more than 8,000 hours a year saved. Custom builds start from $15,000 plus GST at a fixed price, and client data is hosted in Australian data centre regions.

• Strongest on: inbox and document work, with full marks, level with nine others.
• Loses on: time to first build, 0. No go-live time appears on the pages read.

SimplyAI helped Frasers Property Australia build Arya, a digital assistant that ran the monthly BAS preparation for its tax team. It builds solutions, integrates AI with a Microsoft environment and runs support and maintenance.

• Strongest on: runs without an engineer, at 7.
• Loses on: time to first build and published price, 0 each. Neither appears on the pages read.