Applied AI Australia
Fifteen years inside Australian business. Nine at News Corp. Now applying AI, operator first.
Ramon Rodriguez
Applied AI Australia is the advisory practice of Ramon Rodriguez. The work is executive advisory backed by Acquire Intelligence delivery: you deal with a principal, and what you get is built to be read by a board.
Fifteen years carrying commercial P&L accountability at News Corp Australia gave me a clear view of what makes AI projects work and what makes them stall. The pattern across the clients I work with now is consistent: the AI tools work, the workflows around them don't get rebuilt, and the leadership team doesn't own the change. My focus is AI that hits the P&L and shows up in growth, margin, and time.
I translate AI capability into commercial strategy because I've spent my career on your side of the table. I help leadership teams filter AI initiatives for value, rebuild broken workflows, govern risk, and get the frontline actually using the tools.
I partner with boards and executive teams so AI survives contact with the business and shows up in the numbers.
Every Australian organisation I walk into has the same four breakdowns. My Applied AI Framework fixes each one in order.
Revenue, Cost, Time, or Risk.
Companies run pilots that look exciting but never move the needle. Innovation theatre at scale. Expensive strategy decks and stalled pilots are the norm, and executives are tired of paying for them.
Every AI idea gets one brutal filter. Does this increase revenue, reduce cost, compress time, or materially reduce risk? If the answer is no, it's noise.
A short, board-ready list of AI initiatives that actually matter.
Eliminate. Automate. Reallocate.
Organisations drop a tool on top of a broken workflow and call it transformation. The verification tax, humans checking the AI, wipes out the savings.
We don't buy in. We redesign the work.
A redesigned workflow and an Operational Task Ledger.
Start with the ledger, not the lab.
Pilots launch without being tied to a P&L line item. No baseline cost. No CFO stage-gate. Six months later, no one can say if it worked.
Every initiative is tied to a budget line before tech is deployed. We set a 90-day baseline and a CFO-co-owned stage-gate. If we can't tie it to a dollar outcome or defined risk reduction, we pause the build.
A one-page Commercial Ledger for every AI initiative.
The 10-20-70 rule.
Most AI failure is people and process. Technology vendors sell you technology anyway. Boards buy the deck. The frontline never adopts it.
I operationalise the 70%. AI literacy becomes a mandate. Existing domain experts are activated, not replaced. Every role gets clear guardrails on when to use AI and how to escalate.
A practical AI operating playbook that survives staff turnover.
I am an executive who advises.
I am not a career consultant.
Most AI advisors have never carried a P&L or answered to a board for one. They sell the tech. I manage the business strategy.
I understand finite time, political capital, and fiduciary duty because I've lived them. My strategies reach production instead of dying in a lab.
The Applied AI Australia podcast puts me in rooms with more executives than anyone else in this market. I hear what gets sold, what breaks during implementation, and where real returns show up.
The point is not to create content. The point is to compress market intelligence into a signal you can use in one board cycle.
If the decision matters, it starts with an AI Audit. I assess where you actually are, where the value sits, and what is blocking you from acting.
Five business days. Board-ready output.