How to Eat an Elephant: The Trick to Getting Started with AI
One bite at a time.
That's AI in a nutshell.
And right now, I'm guessing you're staring at a pretty massive elephant.
Let me paint the picture:
You're running a business in 2026.
The government keeps adding more tax, more regulation, more hoops to jump through.
Your customers? They've got less income than they did a year ago. Less time to make decisions. More choices than ever before and their attention span is basically nonexistent.
On top of all that, everyone around you is screaming that AI is the future.
Get on board or get left behind. Your competitors are already moving. You're watching them implement tools, automate processes, scale faster.
Meanwhile, you're stuck at square one. Where do you even start? Who do you trust?
What if you pick the wrong solution and blow your budget on something that doesn't work?
The horror stories are everywhere.
Businesses rushing into AI, implementing the wrong tools, watching the whole thing crash and burn. Money down the drain. Credibility damaged. Team morale tanked. So you're paralysed.
Stuck between doing nothing and making an expensive, public mistake.
I get it. I've been there.
And here's what I've learned:
AI isn't a set-and-forget solution.
It's not some magic button you press once and boom, everything's fixed.
It's a journey.
And like any journey, you don't need to see the entire road ahead before you take the first step.
You just need to know where to start.
Here's the secret nobody tells you:
You don't start with the flashiest AI tool.
You don't start by copying what your competitor is doing.
You start with YOUR biggest pain point.
The actual, day-to-day nightmare task that's sucking time and energy from your team.
In my own business, that nightmare was deposit returns.
Every single one took 3 hours.
3 hours of pure chaos.
We had to compare check-in and check-out reports down to the smallest detail.
Photos of every room.
Costs for every tiny scratch or stain.
Deductions calculated to the penny.
Then came the worst part:
Negotiating between landlords and tenants who both wanted completely different outcomes.
Everyone pointing fingers.
Nobody happy.
Absolute nightmare.
I dreaded it every single time.
With AI?
That same task takes 90 seconds.
90 seconds.
We upload the documents.
AI analyses everything.
Produces separate reports for the landlord, the tenant, and the Ombudsman.
Everything's clear, documented, and fair.
Negotiation time drops dramatically because there's no confusion about what happened.
That's the power of starting small and building from there.
But here's the thing most businesses miss:
You can't just throw AI at a problem and hope it sticks.
You need a foundation first.
An AI Knowledge Base built from YOUR team's expertise.
YOUR unique processes.
YOUR business nuances and distinctions that make you different from everyone else.
That Knowledge Base becomes the brain everything else runs on.
Voice AI that sounds like your brand.
Conversation AI that understands your customers.
Agents and bots trained on what actually matters in YOUR business.
Not some generic, one-size-fits-all solution.
YOUR solution.
Built for YOUR business.
And here's the beautiful part:
It doesn't matter where you start.
We usually go for the big wins first.
Why?
Because when your team sees it working, they get excited.
They stop being scared of AI and start getting curious.
They start coming to YOU with ideas.
"Hey, could we use this for invoicing?"
"What about customer follow-ups?"
"Could this handle our scheduling nightmare?"
Suddenly, AI isn't this scary, overwhelming monster.
It's just another tool that makes their lives easier.
And that's when the real magic happens.
Look, I'm not going to pretend this happens overnight.
Rome wasn't built in a day.
Neither is a truly effective AI system.
But it also doesn't have to be some massive, years-long project that costs a fortune and takes over your entire business.
You start with one piece.
One pain point.
One quick win.
You build your Knowledge Base.
Tap into the wisdom already sitting in your team's heads.
Capture your processes, your distinctions, your unique approach.
Then you implement bit by bit.
Iterate as you go.
Adjust when something doesn't work.
Celebrate when something does.
That's how you avoid the horror stories.
That's how you make sure you're not wasting money on the wrong solution.
That's how you build something sustainable that actually grows with your business.
And that's how you prepare to scale without everything falling apart.
Because here's the truth:
You can't scale what lives only in people's heads.
But when that knowledge is captured, documented, and turned into an AI Knowledge Base?
That's when you can scale.
That's when Voice AI can handle customer calls the way your best team member would.
That's when Conversation AI can answer questions at 2am when nobody's in the office.
That's when agents and bots can handle the repetitive stuff so your team can focus on what actually matters.
So here's what I'm offering:
Let's grab a virtual coffee.
No sales pitch. No pressure. No trying to sell you some massive, expensive package.
Just a real conversation about your business. Your pain points. Your big wins waiting to happen.
We'll map out a basic scope to get you started building your AI Knowledge Base.
You'll walk away knowing exactly where to start. What your first step looks like. And how to move forward without the overwhelm or fear.
From there, you'll have a foundation you can actually build on.
One piece at a time. One win at a time. One step closer to a business that runs smoother, scales easier, and doesn't keep you up at night.
Let's turn that elephant into bite-sized pieces.
Live with passion & AI,
Brett
Host a podcast? Have Brett on as a guest.
Straight talk on implementing AI in real SMEs, no jargon, plenty of receipts from the businesses we run.

Brett is a four-time founder (Darra Tyres, Gladfish, EzyTrac, Anaboo) and the operator behind AIOS, Anaboo's AI Operating System. He writes from inside the build, installing AI in his own businesses first and reporting back what actually moves the numbers. Based between Singapore, the UK and Australia.



