AI for real estate agencies · Sydney

AI for real estate agencies: more time on listings, less on paperwork

In most agencies the selling and the managing are done well and the paperwork around them is done late. Appraisals assembled the night before, vendor reports copied together each Monday, maintenance requests passed between tenant, owner and tradie by hand. I help sales and property management teams turning over one to ten million take that load off, one small step at a time, using the systems you already run.

Where an agency’s week actually goes

On the sales side, the week is full of documents that look different every time and say the same things: a listing appraisal and proposal for a vendor, comparable sales pulled and explained, campaign updates after each open, and a buyer database that someone means to follow up properly.

On the rent roll, it is volume. Maintenance requests that need a quote, an owner’s approval and a tradie booked, arrears that need a polite nudge on the right day, routine inspection reports, lease renewals, and the supplier invoices that come out of the trust account. Each one is small. Together they are why property managers leave.

This is not a new CRM. You keep Rex, VaultRE or Agentbox for sales, PropertyMe or Console Cloud for the rent roll, Xero for the business and your shared drive. The job is to connect AI to what you already run, so the paperwork is drafted for your team and they check it instead of writing it.

What I’d take off your plate first

Usually Rex, VaultRE or Agentbox for sales, PropertyMe or Console Cloud for the rent roll, realestate.com.au and Domain for listings, DocuSign or REI Forms Live for agreements, Xero for the business, and Microsoft 365 or Google Workspace for everything else. I connect AI to those, rather than asking you to replace them.

Listing appraisals and proposals

Comparable sales, the property details and your agency’s pitch turned into a first draft of the appraisal and proposal in your template, so the agent spends their time on the price and the conversation, not the layout.

Vendor reports after every open

Attendance, buyer feedback and enquiry numbers from the CRM turned into a weekly vendor report that sounds like the agent, ready to check and send on Monday morning.

Maintenance requests, start to finish

A tenant’s request read and categorised, the right tradie suggested, the quote requested, and the owner approval email drafted, with every step logged in the property file.

Arrears and lease renewals

Arrears picked up the day they happen and reminders drafted at the right step, lease expiries listed ninety days out with renewal letters and rent review notes ready for the property manager.

Supplier invoices and trust account admin

Tradie and supplier invoices read, matched to the job and the owner’s approval, and prepared for payment, with anything missing or over the approved amount flagged before it is paid.

Buyer and landlord pipeline follow-up

Buyers, appraisal leads and prospective landlords from the CRM sorted by how warm they are, with a short follow-up drafted for each and a daily list per agent of who to call.

And the admin every office has

The same work turns up in every agency: email, spreadsheets, documents, and a Microsoft or Google setup that grew without a plan.

Invoicing and accounts payable

Supplier bills read, coded and matched to the order or the job before they reach Xero or MYOB. Mismatches drafted into an email for someone to approve. Overdue invoices chased politely, on a schedule.

Email that answers itself, nearly

The inbox triaged each morning, routine replies drafted in your tone, attachments filed to the right folder, and a short list of what actually needs you today.

Spreadsheets you stop rebuilding

The weekly report that someone copies and pastes together every Monday, produced before you arrive, with a sentence on why the number moved.

Documents and slides

Proposals, letters, reports and board slides drafted from your own templates and your own past work, so the first draft is eighty per cent there rather than a blank page.

Microsoft 365 or Google Workspace, set up properly

Shared drives that make sense, permissions that match who you are now, and AI connected to mail, calendar and files the same way for everyone instead of five people doing it five ways.

Project and job tracking

Status updates written from what actually happened in email and the job system, tasks pulled out of meeting notes, and a morning brief per person of what is due.

How it works: audit, roadmap, implementation, training, support

Sold one step at a time. Each step is quoted before it starts, stands on its own, and you decide after each one whether to take the next. Most businesses your size go from the audit to a working, trained setup in three to six months.

  1. Audit

    Two weeks, fixed price. A map of every system you run, a ten-minute staff survey, a few five-minute screen recordings of the work that eats the week, and short conversations with the people who run the business. It costs your team minutes, not hours.

  2. Roadmap

    A ninety-day plan written from what the audit found: which processes first, ranked by admin removed against cost and risk, which AI plan and accounts your team should be on, and a two-page policy on what may go in. Every item has its own price.

  3. Implementation

    I build the first one or two automations inside your own Microsoft 365 or Google Workspace, connected to the systems you already run. AI drafts, a person approves anything that leaves the building, and it runs beside the manual way until you trust it.

  4. Training

    Your team learns on their own work, not on demos. One standard setup for everyone, a short session per group, and one-to-one time with the two or three people who will carry it once I step back.

  5. Support

    A light monthly retainer: one call, a one-page summary, fixes, and the next routine your team worked out promoted into something the business runs. I read the AI news so your people do not have to.

Use AI without handing over your clients’ data

An agency holds a lot of personal information: tenant applications with ID and income details, owner bank accounts, vendor circumstances, buyer contact lists and the trust account. Your appraisal history and commission structures are commercially sensitive too. None of it needs to leave your own systems for AI to be useful.

The work happens inside your CRM, your property management software and your Microsoft or Google tenant, on a business AI plan with company accounts for every person who uses it. Nothing goes into a free chatbot, nothing moves money on its own, and anything that goes out to a vendor, an owner, a tenant or a tradie waits for a person to say yes.

The basics, every time

  • Company accounts on a business AI plan, never personal logins. Business plans do not train on your data.
  • AI connected to your own Microsoft or Google tenant, so files stay where they already live and access is revoked in one place.
  • A two-page policy your team can actually remember: which accounts, what may go in, what never does.
  • Everything I build lives in your accounts and is logged. I work from a staff login, not the master key.

Where most start

A typical first project: maintenance requests handled end to end

Most rent roll audits find the same quick win. Each maintenance request is read, categorised, matched to a preferred tradie, and the quote request and owner approval email are drafted for the property manager to send. It runs beside the manual way for a fortnight until you trust it. On the sales side, vendor reports and appraisals are usually next.

Frequently asked questions

We use Rex (or VaultRE, Agentbox, PropertyMe). Do we need to change?

No. I connect AI to what you run. Where your CRM or property management software has a way in, I use it. Where it does not, I start from the exports and emails your team already handles, and switch to a better connection when the vendor allows.

Will AI be writing to our tenants and vendors on its own?

No. It drafts, and a person sends. That holds for anything going to a client, and above all for anything touching the trust account, which only ever moves when someone in your team approves it.

Can AI price a property for us?

It can do the legwork before the price: pulling comparable sales, summarising the campaign history and drafting the appraisal around your agent’s view. The number stays with the agent, who knows the street. I would not hand that to a model.

Is this worth it for an agency our size?

If your property managers are carrying a heavy portfolio, or agents are assembling appraisals and vendor reports at night, almost certainly. The audit will tell you honestly, and if your CRM can already do it with better setup, I will say so.

How much of my team’s time does this take?

Minutes, by design. Ten for the survey, ten for an optional screen recording, an hour with the key people. Whoever runs operations spends two or three hours across the first fortnight.

Do we have to commit to the whole thing?

No. Every step is quoted on its own and you decide after each one. Plenty of businesses take the audit and one project, and stop there until they see it working.

Are you tied to a particular AI vendor?

No. I lead with Claude because I think it is the strongest all-rounder for business work today, and I work just as happily with Microsoft Copilot, ChatGPT or Gemini if that is what your team already uses. Everything is built so the model is one part you can swap.

Questions real estate agencies ask me

ChatGPT, Claude or Copilot: which should my business use?

Pick one and standardise, on a business plan. If your business lives in Outlook, Teams and SharePoint, Copilot is the natural start; if you want the strongest all-rounder for writing and documents, I lead with Claude; ChatGPT is a sound choice too. All three can connect to Microsoft 365 or Google Workspace now.

Free or paid ChatGPT and Claude: what’s the difference for a business?

For a business, the difference that matters is control, not smarter answers: business plans keep your data out of training by default, put the accounts under company management, and let an admin decide which systems AI can connect to. Free and personal plans do none of that.

Can AI send emails without me?

It can, if you let it. With the Gmail connector Claude can draft, send, reply to and forward email, but by default it asks for your approval before each of those. I leave that default on: AI drafts, a person presses the button.

How do I start my day with AI?

Give it a short briefing document about your job and open every day with the same request: read my briefing, then show me today from my calendar and inbox. Close the loop with a short daily note, and within a few weeks the assistant knows your work.

Will AI take my job?

In most small and mid-sized businesses, not soon. AI takes over tasks, such as the drafting, the matching and the chasing, and the job changes around what is left. Whether that is good for you depends on what your employer does with the time, which is why the owner should say it out loud.

What is an AI connector, and why does it matter?

A connector links an AI assistant to a system you already use, such as your email, calendar or shared drive, so it can find and read things itself. It matters because without one you are the connector: copying text in and pasting answers out.

Running a agency and doing the admin at night?

Tell me what you run, how many people, and what eats the most time. I will tell you honestly whether an audit is worth it.

Tell me about your business

Tell me what you're dealing with

Three lines is plenty. I reply personally, usually within a day, and the first call is free.