A clearer way
to begin.

It is a structured look at a real process to decide where AI, automation, a clearer rule or a better handoff could help. Start with the work that gets stuck, inspect the inputs and decisions, and define a small test. The output is a reasoned next step rather than a promised savings figure.

A tool is one possible part of the response. An opportunity assessment first establishes the constraint, who experiences it, the information available and the decision that must remain with a person. Sometimes simplifying a process is the useful first action.

Bring one repeated workflow, the people who own it and a fictional or redacted example. Describe what starts the work, where it waits, how it is checked and what a completed result looks like. Keep confidential records out of an initial enquiry.

An initial exercise cannot establish that. Record the current process and agree on a small set of representative examples. During a pilot, compare effort, corrections, exceptions and output quality with that baseline before making a commercial decision.

You need enough understanding of the information to assess the idea. Missing, conflicting or inaccessible inputs are useful findings: they may make information quality or ownership the first task. Do not assume AI will repair those problems automatically.

The focus is on tasks, handoffs and constraints. People keep accountability for decisions and commitments. A proposed workflow should show who reviews it, who handles exceptions and what the team needs to understand to run it.

AI Opportunity is a Flowtivity microsite. Flowtivity provides practical AI consulting, training, automation and supervised agent work for Australian businesses. Enquiries and engagements are handled by Flowtivity through flowtivity.ai.

Confirm the scope, approved information, owner, review point and test cases. Check feasibility and the likely effort before building. Agree what evidence would justify continuing, changing the approach or stopping.