Find the AI opportunities that move a real number.

Discuss your priorities

When there are more ideas than clarity

Different teams may be proposing different tools. The board may be asking where value could land. A vendor may have demonstrated a capability without an agreed problem for it to solve.

The audit creates a common basis for comparing those choices. It does not assume every proposed use case should be built.

Begin with the business pressure

We work backwards from a material outcome: revenue, cost, time, service, capacity or risk. We identify the workflows and decisions through which that outcome is produced, then assess the possible role for AI.

An opportunity needs more than a title such as “AI for customer service”. It needs a specific problem, affected people, an owner and a plausible value mechanism. It also needs an alternative: what would happen if the organisation changed the process without AI or did nothing for now?

Make the evidence visible

For each candidate, the assessment separates what is known from what is inferred. A current operating baseline is different from a vendor estimate. A result observed elsewhere is different from an outcome your organisation can expect.

Where evidence is weak but the consequence is material, the recommendation may be a small test designed to resolve the uncertainty. Where prerequisites are missing and nobody owns them, the appropriate decision may be to stop.

What you receive

An opportunity map organised around business problems rather than tools. A ranked shortlist showing the commercial rationale, delivery constraints and evidence strength. A view of dependencies across data, workflow, people, governance and technology.

The output includes explicit park or stop decisions and the next decision for each priority, including what evidence should be gathered and who should own it.

How this differs from a strategy engagement

The opportunity audit helps decide where to look and what deserves attention. Strategy work makes broader choices about investment, operating model, sequencing and governance. An Operational AI Audit goes deeper into selected workflows.

Detailed engineering or procurement may follow once a use case is defined. These are possible next steps, not an obligatory sequence of products.

A focused commercial commitment

The audit is not a guaranteed ROI forecast or a technology shopping list. A quantified business case depends on evidence and access to accountable owners.

Ramon leads the review. Scope, outputs, participation, fees and timing are agreed before work begins. Applied AI Australia is part of Acquire Intelligence; implementation is separately assessed and scoped.

Discuss your AI priorities

Already have one costly process in mind? Explore the Operational AI Audit.