For Australian property sales businesses and mortgage brokerages
The work your best people shouldn't be doing. Handled.
Property sales teams shouldn't lose buyers because the follow-up stopped. Mortgage brokers shouldn't spend their week chasing documents and updates. We build and run systems that handle that work inside the tools your team already uses.
AI where it's useful. Fixed rules where they're required. A person in control whenever judgement matters.
09:41:09 campaign paused for this contact
09:41:10 draft created for operator review
09:44:31 approved by operator · sent · logged
↑ nothing sends until a person has read this
How a lead becomes an appointment.
FROM THE LIVE LEAD-TO-APPOINTMENT SYSTEMNot another app for your team to learn. We build the system into the way the work already runs. Our method →
Two industries. Two expensive problems.
Property businesses lose value when paid-for enquiries aren't properly worked. Mortgage brokerages lose capacity when brokers carry work that doesn't require a broker. We build for each problem separately.
Built in the real world.
All client work →
A reactivation system working a high-value house-and-land database.
Connected to the client's CRM in observation mode. A person reviews every proposed outbound message. Declines, opt-outs and timing signals are classified and recorded; bounded CRM updates happen only where authorised. Handled built it, monitors it and handles the exceptions.
Read the case study →Human-gated member conversations and appointment recovery.
Fitness · BrisbaneA client-intelligence platform connecting daily action to coaching context.
Coaching · AustraliaThe mortgage file process — tested against real files before live work.
Mortgage · AustraliaAn approved client quotation will sit here once recorded and permissioned. Nothing is published that wasn't actually said.
builds and runs it
You deal with the person doing the work.
Handled is founder-led from Brisbane. You work directly with Nick through the review, the build and the ongoing operation. The person learning how your business works remains responsible after the system goes live.
As Handled grows, that principle stays: understanding the work and owning the implementation remain the same responsibility.
About Handled →Another AI tool still leaves you to make it work.
MIT studied 300 enterprise AI projects last year. Ninety-five per cent returned nothing measurable, and the failures came from how the tools were put to work, not from the tools. A new login doesn't decide where AI belongs in your process, wire it in, or keep it working after launch. Handled takes responsibility for that part.
A tool, a login and instructions. Your team still has to fit it into the work and maintain it.
A system built around the way your team works, connected to the tools you already use, and operated after it goes live.
Built quickly. Put live carefully.
A working first version within ten business days of receiving the access, data and decisions we need. Live use follows controlled testing, clear permissions, approval points and monitoring.
Start with one problem worth fixing.
The full method →Review the work
Watch how the work actually happens, measure the starting point and choose the problem worth fixing first.
Build the first system
Connect it to the tools, data, rules, approvals and people already involved.
Run it
Monitor the work, handle exceptions, maintain the connections and report what changed.
Expand what works
Move through the agreed list one measured system at a time and train the people involved.
Field notes from the work.
All insights →What we found going back through 14 months of property enquiries
Working title. Written from the live reactivation system once findings are verified.
DRAFT — TO BE WRITTENWhy every important message still gets read by a person
Working title. The case for human approval gates in client communication.
DRAFT — TO BE WRITTENThe broker week, measured: where the time actually goes
Working title. To follow the first brokerage review.
Show us the work that keeps getting stuck.
We'll examine the problem, tell you whether AI belongs in the answer and show you the most useful place to start. If it's not worth building, we'll tell you that too.