We help Sydney businesses get rid of the work nobody wants to do twice. The inbox that keeps filling up. Quotes that get sent and never followed up on. The Friday afternoon report someone has to assemble from three different systems. The kind of work that doesn’t really need a human, but always seems to need one anyway.
This page exists because “AI automation” has become a vague phrase. Below is what we actually mean by it, what we’ll build, and what we won’t.
The four jobs that come up most often
After working through quite a few of these projects, we’ve noticed the same handful of opportunities show up almost every time.
Lead handling
An enquiry lands in your inbox, on a contact form, or through a phone message. The slower someone replies, the lower your chances of converting it. We build a layer that reads each enquiry, works out who in your team should handle it, drafts a sensible reply, and gets it in front of the right person within minutes. Some Sydney clients have moved their average weekend response time from “Monday morning” to under five minutes.
Admin work
Invoices that need extracting into Xero or MYOB. PDFs that need filing. Status updates someone keeps having to type into two systems because the systems don’t talk to each other. This is the easiest category to automate, because the rules are usually obvious. It’s also where most clients see the first wins.
Reports that get assembled by hand
If someone in your team is spending a few hours each week pulling numbers out of multiple tools to write a weekly or monthly summary, that’s a strong candidate. We pull the data, summarise the changes, draft the narrative, and hand it to a human to sense check. You get the report in five minutes instead of three hours, and the numbers come out the same way every time.
Following up when work goes quiet
A quote went out two weeks ago. A ticket was raised, replied to once, then forgotten. A scheduling decision is waiting on someone who’s gone quiet. AI can chase these at the right interval, with the right context, and only escalate to a human when something genuinely needs attention. Most clients we’ve done this for have recovered work that would otherwise have just dropped.
Who it works for
AI automation is most useful for Sydney businesses that already have a few things working. A CRM that mostly does its job. A Microsoft 365 setup. A website that gets a steady trickle of enquiries. We sit on top of those tools. We don’t try to replace them.
It also helps if you have repetitive volume. Not necessarily a big team, but enough work flowing through that an hour a day saved actually adds up. If you’re a single founder doing everything yourself, automation can still help, but the payback is slower because the work that gets automated is competing with all the other things only you can do.
It’s a poor fit when the underlying processes are messy. Automating mess just produces faster mess. We’ve turned down work where the better answer was “fix the process first, then come back and we’ll talk about automating it.”
How we work in Sydney
We’re set up the way a Sydney business expects. AEDT and AEST hours, AUD invoicing, GST handled the way it should be, and data hosting in regions that meet your compliance needs. For Sydney clients we’ll come on site for kickoffs, training, or any work that genuinely benefits from being in the room. Past that, video calls and shared docs work fine for almost everything.
We work with businesses across Greater Sydney. Surry Hills and the inner east. Parramatta and the western suburbs. Lower North Shore through to the Northern Beaches. The geography of where you are matters less than how clearly you can describe what’s slowing the business down.
What a project actually looks like
Most engagements run about four to six weeks before something useful is live.
Week one is a discovery conversation. We sit down with whoever knows the work, look at where time is going, and pick out two or three candidates ranked by likely return. Not what’s most exciting. What’s most likely to pay back inside a month or two.
Weeks two to four, we build the smallest useful version of the highest ranked candidate. We don’t try to ship the perfect end state on day one. We build the version that proves the mechanism, captures the obvious wins, and tells us whether to go deeper.
From week four onwards, real work flows through it. We watch what happens. Edge cases get fixed. If it’s earning its keep, we expand. If it isn’t, we stop without sinking more cost into something that wasn’t going to pay back. Some of our most useful conversations with Sydney clients have ended with “let’s not build this”.
What we won’t do
A few things we deliberately avoid because they tend to waste money.
Custom AI models trained from scratch. The off the shelf models (Claude, GPT, Gemini) are good enough for almost every business problem we see. Training your own model is rarely the right starting point for a Sydney SMB.
Automation that replaces tools you already pay for. If HubSpot is working for you, we won’t propose building you a new CRM. We’ll wire AI into HubSpot. Same for Xero, Microsoft 365, your project tracker, your phone system.
AI demos that look impressive in a meeting but don’t earn their keep. We measure by what flows through automations week after week, not by what shows well in a pitch.
Locked in proprietary middleware. Where possible we build on tools you already use, or open standards. If you decide to leave us in 18 months, we want it to be easy.
Cost, roughly
A small first automation usually starts in the low four figures, total. Bigger build outs with several connected workflows scale from there. We quote against a clear scope after the discovery conversation, and we don’t recommend more work than is likely to pay back in your first quarter of using it.
Frequently Asked Questions
How quickly can a Sydney business see results?
The first useful automation is usually live within two to four weeks of starting. Real measurable impact, like hours saved or leads being handled faster, is typically visible by week six. We don’t ask businesses to wait three months before they can tell whether the approach is working.
Which AI provider do you use?
Whichever fits the job. We use OpenAI for general reasoning, Claude for longer documents and nuanced replies, Gemini for some specific tasks, and small specialised models for things like document extraction. The provider matters less than picking the right tool for that workflow and getting the surrounding plumbing right.
What about Australian privacy and compliance?
Where data sensitivity matters, we configure things so the data stays inside your existing systems (Microsoft 365, your CRM) and route through providers that offer Australian or regional hosting. The Privacy Act, GDPR if you trade in Europe, and any industry specific obligations get handled as part of the build, not as an afterthought.
How is this different from Zapier or Make?
Zapier and similar tools are very good at moving data between systems on a fixed rule. They don’t reason about the content of what they’re moving. AI automation is for the parts where someone has to read a message, decide what it is, draft a response, or work out what to do next. We often combine the two. Zapier or n8n for the plumbing, AI for the judgement steps.
Do we need to be a big company?
No. Most of our Sydney clients have between five and fifty people. Smaller businesses tend to get the most leverage out of automation per dollar, because the manual work usually hits the founder or one or two senior people directly.
Talk to us
If something in your Sydney business takes too long, drops too often, or eats too much of someone’s day, there’s probably a useful automation in there. We’d rather have a 20 minute call to figure out whether that’s true than write a long pitch for something that may not be the right fit for you.