AI that fits your business.
Not the other way around.
We analyse your operations, identify where AI delivers real value, and build it. You receive a written report and a working prototype before you commit.
Start with a conversationWhat we do
Three ways to work together
AI Audit
1–2 weeksA structured evaluation of your business — where AI saves time, where it makes money, and where it's not worth it. You receive a written report with prioritised recommendations and one working prototype of the highest-impact opportunity. Value delivered before you commit.
$500–$1,000
Build
2–8 weeksYou've identified the opportunity — now it needs to exist. Chatbots, calculators, content engines, lead capture systems, and integrations — purpose-built for your specific workflow on modern infrastructure.
$2,000–$10,000
Retain
MonthlyYour AI investment keeps improving. Ongoing content, SEO, tool maintenance, performance monitoring, and strategy. You have someone who understands the whole system on call.
$500–$2,000/mo
Approach
How we work
Operations first
We start with your operations, not the technology. Every engagement begins with how your business actually runs — where time is spent, where customers are lost, where value is left on the table. AI is only recommended where it produces measurable results.
Proof before commitment
Every audit produces a written report and a working prototype. Not a slide deck. Not a proposal for more work. A functioning tool you can test with your team.
Designed for adoption
The best tool is worthless if nobody uses it. Our recommendations work with how your team already operates — not against it.
Honest about limitations
If the answer isn't AI, we'll tell you.
Thinking
Notes on AI, evaluation, and building things that work
AI Audits That Start With Your Business, Not the Technology
Most AI consultants start with the technology and hunt for problems to solve. I start with your operations and find where real value is being left on the table — using evaluation methods refined across government, banking, health, and commercial environments.
The Psychology of Why Your Team Won't Use AI
80% of Australians aren't using AI at work. The reason isn't the technology. It's five predictable psychological barriers — and each one has a specific strategy that overcomes it.
Stop Telling AI What NOT to Do: The Positive Framing Revolution
Your AI is cautious because you're making it afraid. How switching from negative constraints to positive framing transformed output quality overnight.
What Production AI Teaches You That Demos Never Will
The gap between AI that works in a demo and AI that works in your business is enormous. Here are the lessons that only emerge when AI hits real users, real data, and real constraints.
How We Turned Generic AI Into a Specialist — And What That Means for Your Business
Most businesses get mediocre AI output because they ask AI to think and create in a single step. Building a production AI pipeline with over 1,000 lines of carefully chosen prompting revealed a better approach.
Your Business Has 9 Customer Touchpoints. AI Can Fix the 6 You're Dropping.
You're spending money to get customers to your door. Then you're losing them because you can't personally follow up with every lead, nurture every client, and ask for every review.
What Happens to Your Data When You Press 'Send' on an AI Tool
Most businesses are sending customer data, financials, and internal documents to AI tools without understanding what happens during processing. The spectrum of AI privacy is wider than you think.
Contact
Start with a conversation
No pitch, no pressure. Tell us about your business and we'll let you know if we can help.