Skip to main content

    Executive guide

    How to resolve an AI business problem, from audit to implementation

    An AI Opportunity Audit finds where AI is worth pursuing. The AI Roadmap turns known opportunities into a funded plan. An Operational AI Audit finds the constraint in one costly workflow. A 90-Day AI Pilot tests a chosen use case. The APP 1.7 Rapid Review finds decisions your privacy policy may need to describe. Implementation follows in the same engagement.

    Start from the question you need answered

    Deciding what to do with AI

    Improving one workflow

    Operational AI Audit: an audit of one workflow, then implementation in the same engagement.

    Proving a chosen use case

    90-Day AI Pilot: a bounded test on real cases, with the criteria for scaling or stopping agreed first.

    Managing control and regulatory exposure

    APP 1.7 Rapid Review: which decisions your privacy policy may need to describe from 10 December 2026.

    Questions and outputs, from audit to implementation

    EngagementQuestionOutputWhat it does not duplicate
    AI Opportunity AuditWhere is AI worth pursuing?Prioritised opportunities and a recommendationThe full execution and governance plan
    AI RoadmapWhat will we do, in what order, under whose ownership and controls?Agreed priorities, sequencing, owners, controls and measuresRediscovering opportunities already found
    Operational AI AuditWhat needs to change in this specific workflow?Constraint, baseline and improvement pathwayA broad enterprise opportunity assessment
    90-Day AI PilotCan the change improve this workflow at an acceptable cost, quality and risk level?Measured results against the baseline and a scale recommendationThe baseline and evidence an audit has already gathered
    APP 1.7 Rapid ReviewWhich decisions may we need to disclose from 10 December 2026?An initial view of exposure, a full decision register or a board-level risk summaryYour legal team's review of the final privacy policy wording
    Implementation stageHow do we make the agreed change work?A changed workflow or working solution, with measured resultsAnother diagnosis without execution

    Engagements do not repeat each other. A roadmap starts from the opportunities an audit has already found and checks them.

    Measure AI by its effect on business performance

    Four measures: revenue, cost, time and risk

    • Revenue: where revenue can grow
    • Cost: where operating cost falls
    • Time: where work moves faster or capacity is freed
    • Risk: where compliance or operating risk falls.

    Where to start

    If you are not sure which question applies, start with one of these routes.

    The AI Readiness Assessment asks up to 20 questions across 5 areas: commercial intent, data and technology foundations, governance, people and delivery. It takes 8 to 12 minutes and ends with a decision brief you can take to the board.

    In the first conversation, Ramon reviews the facts and tells you whether advisory work is the right next step. Ramon or his team replies within one business day.

    If the question concerns software in decisions about people, start early. From 10 December 2026, Australian Privacy Principle (APP) 1.7 and APP 1.8 set privacy policy disclosure rules for some automated decisions. Our guide to what APP 1.7 requires sets out when they apply. Finding the decisions needs your legal, privacy, procurement and technology teams, and the operational teams that use the systems.

    Whichever route you take, bring the business problem in your own words and the decision you need to make, with its date. Any evidence you already hold helps, such as proposals, vendor material, operating reports or a baseline.

    What every engagement leaves you with

    Every recommendation separates what the evidence shows, what we have assumed and what still needs testing. It also names who owns the next decision.

    Frequently asked questions

    1. Do the engagements have to run in order?

      The engagements do not have to run in order. Start with the need you have now, and each engagement builds on work already done. The table above shows what each engagement does not repeat. Our guide to building an AI roadmap explains how the work is sequenced.

    2. Who delivers the implementation?

      Applied AI Australia advises and Acquire Intelligence™ delivers, as one engagement from diagnosis to working change. Ramon Rodriguez leads the advisory work. Each implementation stage has a named owner and measures, agreed before the stage begins.

    Bring the business problem and the decision you need to make.