AI ADVISORY · MOUNT MINDFORCE · SYDNEY
AI Advisory
There is no shortage of people willing to sell you an AI strategy. Most have never built an AI system that runs in production, handles real customer data, and has to work every day without drama.
I have. I built and operated the AI layer at LoanOptions.ai: the matching engine that connected borrowers to the right lender, the document and decisioning pipelines, and the data systems running against real financial information under Australian privacy obligations. The distance between an AI demo and an AI system a regulated business can rely on is where almost all of the real work sits.
Mount Mindforce provides AI advisory for leaders who need to make decisions rather than collect slides. Should we build this? What will it cost to run once the demo is over? Will our customers trust it? Is the vendor telling us the truth about what their product actually does? What happens the day it gets something wrong?
IN PRACTICE
What this looks like in practice
It starts with the business problem, not the technology. A good share of the AI conversations I have end with a recommendation that has nothing to do with AI, because the real constraint is a broken process, a missing hire, or data that no model will fix.
When AI is the right answer, I design the implementation around how the business actually runs: the right model for the job, an honest view of the ongoing cost, a data pipeline built properly, and a system that fails gracefully, because at some point it will.
WHEN FOUNDERS CALL
When founders usually call
01
“Several vendors are pitching us AI and we cannot tell which one is real”
02
“The team built a prototype and now everyone wants to know if it can go live”
03
“Our board wants an AI strategy and I do not know where to start”
04
“We are worried about security and privacy if we put AI near our data”
05
“We spent real money on an AI project last year and it never left the demo”
If any of those sound familiar, a short call will give you more clarity than another deck.




