fiveways.ai Start your AI plan

AI managed services for Australian real estate agencies

Managed AI for
real estate agencies.

We find where integrating AI pays off in your agency. We build it into the systems you already run, and we keep improving it over time.

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How we work
  • Map.
  • Build.
  • Deploy.
  • Compound.

Four working parts,
run for you.

We run them, review them with you every month, and expand office by office.

AI employees

Part 1 · Sales · Prospecting · Property management · Admin · Marketing

One per agent, on WhatsApp, Teams or Slack, each with a real estate job and a memory of the person they work with.

Integrations

Part 2 · CRM · Calendar · Inbox · Messaging · Documents

Connected through each agent's own logins. Outcomes are written back, not copied out.

Property data

Part 3 · Price · Rent · Days on market · Sales · Yearly change

Suburb-level figures for 7,000+ suburbs, with the data month on every answer, vendor update and street check.

Reporting and rules

Part 4 · Drafts first · Approved chats only · Full log

Every action logged and reported by office. You set the rules, and control grows as trust does.

Works inside the systems you already run

  • CRM
    RexAgentboxPropertyMeHubSpotSalesforceAirtable
  • Calendar
    Google CalendarOutlookApple Calendar
  • Inbox
    GmailOutlookApple Mail
  • Messaging
    WhatsAppMicrosoft TeamsSlackiMessage
  • Documents
    Google DocsMicrosoft WordAdobe Acrobat
  • Data and accounts
    CotalityXero

Meet the AI employee team
that gets the work done.

Each one has a real estate job, a contact in WhatsApp, Teams, Slack or iMessage, and a memory of the person they work with. Start with one role. Add the rest as each office is ready.

  • Bella Sales assistant
    • Buyer follow-up and matching
    • Vendor updates and reports
    • Open-home admin
  • Jack Prospecting assistant
    • Same-street sales and listings flagged
    • Appraisal prep with suburb figures
    • Call lists from the CRM
  • Rose Property management
    • Maintenance requests logged and chased
    • Arrears and renewals flagged
    • Landlord updates drafted
  • Debbie Office coordinator
    • Enquiries answered within 24 hours
    • Calendar and open-home bookings
    • CRM kept current
  • Billie Marketing coordinator
    • Listing copy and campaign drafts
    • Just-listed and just-sold posts
    • Social and email drafts

Bella has worked with a Sydney sales agent since July 2026. New roles are built from the same base.

All four parts,
in one chat.

Message an AI employee like a colleague. Integrations and property data do the work behind it, and every action lands in the log.

Bella, Jack, Rose, Debbie and Billie. One per agent. Drafts first. Your rules.

Bella · fiveways.ai online

14 hours a week back,
per agent.

Time for prospecting, appraisals and vendors. The agent still sends every message.

20h Admin in scope per agent, per week.
70% Handled for the agent. They review and send.
14h Back per agent, per week. About 700 hours a year.
$105k What that time is worth a year, at $150 an hour.

Across a twenty-agent office that is about 280 hours a week, the same as seven full-time roles. One extra listing per agent a year adds about $400,000 at a $20,000 average commission.

Modelled figures for a typical sales agent: 20 hours of admin across six workflows, about 70% handled, 50 working weeks. $150 an hour assumes $300,000 of gross commission over 2,000 hours a year. We rerun it with your agents' numbers at the Map workshop.

Same AI underneath.
The difference is everything around it.

A general AI chat tool answers what you type. Managed AI is connected to your systems, remembers each agent, works to a schedule, and someone keeps it running.

What matters A general AI chat tool fiveways.aiManaged AI
Knows your CRM, calendar and inbox You paste it in. Through the agent's own logins.
Works without being asked Only when you ask. Reminders, street checks and weekly updates, on schedule.
Remembers each agent One conversation at a time. Listings, buyers, style and corrections.
Property market data Generic and undated. Suburb figures with the data month.
Delivers the work Text to copy out. Drafts, PDFs and CRM updates, in the chat.
Runs inside your rules No controls or log. Own environment, approved chats, full log.
Someone keeps it working Up to you. Monitored, reviewed, improved monthly.

Ready to start?
One workshop.

Half a day with your sales leadership and whoever runs your systems, then four steps to the last office.

  1. 01

    Map

    Half a day with sales leadership and whoever runs your systems. Pilot group agreed.

    You get: a prioritised roadmap and a pilot group.

  2. 02

    Build

    Around your CRM, your data and your rules. A named AI employee per pilot agent.

    You get: a working deployment, connected and tested.

  3. 03

    Deploy

    Live in the pilot office with us hands-on. Drafts first.

    You get: AI doing real work in the pilot office.

  4. 04

    Compound

    Monthly review, then office by office.

    You get: value that compounds, office by office.

Commercial structure
  • Agency or network licenceStandards, the data layer and reporting.
  • Per-agent AI employeesA managed monthly service, one per agent.
  • Onboarding and trainingPer office, as each office goes live.

Figures are worked through at the Map workshop.

Straight answers.

The questions we hear most before an agency gets started.

What do you actually do?

We run managed AI for real estate agencies: AI employees, integrations, property data and reporting, built into the systems you already use. We map where it pays off, build it, deploy it in a pilot office and improve it every month.

How is this different to a general AI chat tool?

Same AI underneath. A chat tool answers what you type, and the know-how stays with whoever typed it. Managed AI is connected to your CRM, calendar and inbox, remembers each agent, works to a schedule, runs inside your rules, and someone keeps it working.

Are AI employees the whole service?

No. They are one of four parts. Integrations, property data and reporting do most of the work behind them. Some agencies start with a workflow or a report and add an AI employee later.

Do we need new software?

No. Your CRM stays the system of record. Rex, Agentbox, PropertyMe, HubSpot, Gmail and Outlook connect through each agent's own logins, and the team works in WhatsApp, Teams or Slack.

Who is in control?

You are. Each AI employee runs in its own environment, answers only approved chats and starts by drafting for approval. No legal or financial advice. Nothing reaches a vendor or buyer unless approved. Every action is logged.

What does it cost?

An agency or network licence, per-agent AI employees as a managed monthly service, and onboarding per office. Figures are worked through at the Map workshop.

Start with a Map workshop.

Four short steps to show us the work, the business and the rules around a first deployment. We use it to plan the workshop.

Step 1 of 4

  1. 1Work
  2. 2Business
  3. 3Control
  4. 4Details

What should we take off your plate?

Choose one or more. You can change this later.

Find where AI pays off
in your agency.

Shape a brief in about a minute, or drop your mobile and we'll start the conversation on WhatsApp.

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