AI strategy
consulting.

What’s included

The priorities and the reasons behind them.

A useful plan lets you compare opportunities and see what each one requires. The proposed work is scoped to the processes and decisions your business wants to assess.

Opportunities worth considering

List the repeated tasks, the people involved and the outcome each change is meant to improve.

Value and effort

Use your own task frequency, time estimates and costs to compare options. Record assumptions so an estimate stays recognisable as an estimate.

Readiness

Check whether the process is understood, the required information exists and someone can approve and review the work.

Dependencies and order

Identify tasks that rely on another change, such as organising records before a system can use them.

A first project and success criteria

Define a practical starting point, the result to check and who decides whether to continue.

How it works

Agree the problem before planning the build.

A strategy becomes useful when it helps the business make its next decision. Implementation is agreed separately from the planning work.

Describe the current work

Speak with the people doing the tasks and use examples to identify repeated steps, delays and exceptions.

Compare the opportunities

Consider frequency, effort, consequence of errors and how much oversight each option needs.

Resolve the prerequisites

List missing information, system access and decisions, with a person responsible for each.

Set the next action

Agree the first project or preparation task, its scope and the evidence that would justify the next stage.

Readiness and responsibility

Give each proposed change somewhere to start.

A task may look valuable but rely on information that is held in an inbox or someone’s memory. The plan should identify where that information comes from, whether it is reliable enough to use and who keeps it current.

Access also affects feasibility. Record which systems the proposed software would read or change, who can approve that access and which decisions require staff. Sensitive or consequential work needs the appropriate specialist review before implementation.

For a specific example, automation for accountants involves a different set of records and checks from an AI receptionist. The order should reflect those real differences.

Scope and timing

Build the schedule from what is known.

Timing depends on the agreed work, the availability of staff, system access and the information needed. A useful estimate states those dependencies and is updated when they change.

The first implementation can be a fixed automation, a checked AI-assisted step or custom AI development. Some ideas are better handled through an existing tool or a clearer manual process.

If you have one well-defined task, a focused AI consulting review may be sufficient. A broader strategy is useful when several projects compete for the same time, information or budget.

For independent background on choosing and checking AI tools, see the Australian Government’s AI in business guidance.