FOUNDING COHORT • SEPTEMBER 2026
Every week there is another AI tool, another warning and another expert telling you what you “must” be doing.
Meanwhile, you have an actual business to run.
You do not need to understand everything about AI.
You need enough practical capability to make good decisions about where AI belongs in your business, where it does not, and what is worth investing in next.
SOUND FAMILIAR?
Which tools should we actually use?
What can safely go into them — and what should never go near them?
How do I know whether the output is actually right?
What should my team be doing differently?
Where could AI genuinely save time or create capacity?
How do we start without turning AI into another enormous project?
It is to find where AI can genuinely create capacity, keep human judgement where it matters, and prove one valuable use case before you invest heavily.
AI use is not the same as AI capacity.
You do not need another generic AI course.
You need someone beside you, helping you work out what is possible in your business — and what is actually worth doing.
Over four weeks, I work alongside you and one senior team member on real work from your business.
By the end of the Sprint, you leave with three things.
01 — PRACTICAL AI CAPABILITY
Build enough practical AI judgement to use it sensibly in the business.
You will understand:
- what AI is good atwhere it is unreliable
- how to recognise weak or hallucinated output
- what needs human reviewwhere practical guardrails belong
- how to ask better questions of AI tools, staff and vendors
The goal is not to make you an AI engineer.
It is to help you make better business decisions about AI.
We identify and assess the strongest AI opportunities across your business.
You leave with a prioritised view of:
- what is worth doing now
- what should wait
- what probably is not worth doing
- where the biggest potential capacity gains sit
- which opportunities deserve deeper investment
Show me what’s possible in my business - and tell me what’s actually worth doing.
That is one of the core jobs of the Sprint.
We take one high-value recurring job and test whether AI can support it reliably enough to justify building it properly. Depending on the work, that may include:
- mapping how it currently gets done
- identifying where judgement sits
- capturing examples, standards and decision rules
- defining what must remain human
- breaking complex work into smaller steps
- creating an early AI-supported prototype
- testing it against real or historical work
- identifying where it succeeds and where it fails
You leave with enough evidence to answer:
“Can we make this reliable enough that it is worth building properly?”
Not blind automation.
Not a production system held together with optimism and duct tape.
Proof first. Then investment.
01 — CUT THROUGH
Understand what AI can and cannot usefully do for your business.
Choose the work and tools that matter now
Identify and prioritise the strongest AI capacity opportunities.
See where value, time, judgement, risk and effort sit.
Take one priority workflow into an initial AI-supported prototype.
Test it on real work with human judgement and quality checks built in.
Review what worked, what failed and what deserves deeper investment.
Leave with a clear recommendation for what should be built next.
Complex work should not normally be handed to one giant AI agent and trusted blindly.
We break work into smaller jobs with clear inputs, outputs and checking points.
Human judgement stays where it matters.
AI earns trust before it earns autonomy.
Along the way, we may use practical business work such as:
Turn a voice note into a clear team brief with context, ownership, decision boundaries and “done” defined.
Turn an enquiry or client conversation into structured questions, draft work, follow-up and quality checks.
These give you useful wins while building your AI judgement on real work.
We learn on live business work, so the capability is useful from day one.
This is not:
We start with the business problem. Then determine where AI belongs.
Architecture before technology.
I have spent 25+ years designing how strategy, decisions, work and accountability move through organisations including BHP, Microsoft, Vodafone, LexisNexis and PBL Media — and since then with expertise-led businesses.
AGSM MBA.
“She genuinely seeks to understand and design processes that suit the client’s business — not a one-size-fits-all approach.”
TROY MCDONALD | EX-ASSET PRESIDENT, BHP / ILLAWARRA COAL
AU$1,250 secures your place immediately.
The remaining AU$1,250 is due before the first session.
Next cohort: AU$4,000.
The founding rate reflects this first cohort. In return, founding businesses provide candid feedback and allow anonymised test results and before-and-after evidence, where available, to contribute to future case studies.
Places are confirmed on a rolling basis. Applications close 9 September, or earlier if all six places are filled.
Attend the first session and provide the agreed inputs.
If you leave without your business AI briefing note, practical guardrails and a working Founder Delegation quick win, I will refund your payment in full.
No argument. No complicated claims process.
9 SEP — Applications close • 5:00 pm AEST
11 SEP — Final founding places confirmed
15 SEP — Sprint begins • 10:00 am AEST
Working sessions:15, 22 & 29 September + 6 October
Answer the questions below. They should take about 3–5 minutes.
I read every application myself.
If I think the Sprint is a good fit, I'll invite you to a short Capacity Fit Call so we can look at the three workflows you could work on and make sure the programme makes sense for you.