Welcome to AAHB Rewired.
The first step with AI isn’t picking a tool. It’s knowing which problem to solve first.
Hi, I’m Heather and I’m the founder of AAHB Rewired. AI is the next big technology revolution and as someone who spends a lot of time learning and experimenting with AI, I can tell you it is moving very fast. The difference in just 6 months quite honestly blows my mind. There is a lot of hype around AI at the moment and I’m here to help you cut through the noise and teach you the skills required to take advantage of this amazing technology to help grow your business and make work more fun.
15 years of working in the pharmaceutical industry implementing IT systems has taught me how important process, data, people and communication are to the success of projects. I look at what is working in the enterprise space and build solutions that allow me to implement those same strategies faster, simpler and cheaper for Australian SMBs. I have been told many times that my superpower is turning the seemingly complex into simple concepts and I hope to do the same for you.
My aim with this website is to be a trusted source of information for Australian SMBs. There are lots of resources to get you started on your own, but if you’re looking for someone to partner with on this crazy new adventure, feel free to reach out.
Today is the perfect day to start on your AI journey as it will only get better from here.
Process Led AI Adoption for Australian SMBs.
The Foundations of Successful AI Adoption
Unfortunately businesses can no longer get away with messy data and undocumented processes. The new AI powered business must set rules around what AI can and can’t do, train their staff to be proficient with this new technology, document what currently sits in people’s heads and most importantly focus on what matters to the business. These are what I call “The Foundations.”
AI is moving fast.
Is your business keeping up?
Navigating the complexities of AI adoption requires foresight.
We’ve identified the most common mistakes across 5 key areas that businesses make when implementing AI.
Solution Looking for a Problem
Adopting AI tools based on market trends or “hype” rather than identifying a specific business problem to solve.
Treating the Symptom, Not the Cause
Automating a messy process without fixing what is causing the breakdown.
Choosing the Wrong Projects
Starting AI projects that are not aligned with the organisation’s current skill level.
Skipping the Data Preparation Step
Trying to run a complex AI workflow before your data is accessible, structured, and usable.
“Garbage In = Garbage Out”
Using messy, incomplete, or inconsistent data and expecting the model to “figure it out.”
Working Without Clear Definitions
Not having a single source of truth for key definitions, so the same terms get interpreted differently across the business.
No Formal AI Training
Failing to teach employees the specific skills such as prompt engineering, data verification, or agent supervision, needed to get high-quality, professional outputs.
Ignoring “the Fear Factor”
Not having a clear communication plan around why the business is adopting AI.
Lack of Leadership Support
Not understanding that AI projects are more about change management than they are about technology.
Lack of An AI Usage Policy
Employees are using AI whether you like it or not. Public AI tools will use your information to train their models. Without strict boundaries, you may inadvertently leak trade secrets.
Overlooking the Human Element
Blindly accepting the output of an AI model as fact without adding a “human in the loop” to check accuracy.
Lack of Transparency
Deploying AI without explainability creates liability. If you cannot explain an AI’s decision to a stakeholder, you introduce reputational risk.
Undocumented Processes
You cannot automate what lives in people’s heads.
AI amplifies what already exists
If your processes work, AI makes them better.
If they’re chaotic, AI automates the chaos.
Overcomplicating
Building a proprietary model when an off-the-shelf tool would suffice.
The Rewiring Method
Our structured framework to identify, prioritise, measure and scale the AI solutions that drive real value.
Choose
Start with the business problem, not the technology. Select low risk, high value projects aligned with your current business goals.
Prepare
Document the process, clean the data, choose the tools, train your staff.
Pilot
Start small. Prove it works. Build the workflow, test and iterate, measure the impact.
Scale
Roll out what’s working. Communicate to staff, generate AI usage policies, continually monitor.
Latest Insights
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19 February 2026How to Choose the Right AI Tool and What It Will Actually Cost
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