AI integration & automation

    Practical AI integration for Australian businesses

    I help businesses put AI into a useful workflow: understanding incoming information, finding relevant knowledge or preparing work for someone to review. Based in Brisbane, I combine software engineering with hands-on product development.

    Give AI a clear job and a way to check it

    The starting point is a repeatable business task with a recognisable good result. Define what the system can access, what it may change and when a person takes over before choosing a model or building an agent.

    Workflow discovery and a focused pilot

    Identify a task worth improving, collect representative examples and define a baseline. Test a small workflow before committing to a wider rollout.

    AI connected to your software

    Integrate model APIs with existing applications, approved knowledge and business systems. Keep permissions, validation and failure handling in the application.

    Evaluation and ongoing operation

    Check useful outcomes alongside error rates, response time and running cost. Include review queues, retry limits and a manual path when the automated step cannot finish.

    From my own product work

    An example from CueTools

    The rules quiz work in CueTools needed more than generated questions. Development included validating answer formats, filtering duplicates, preserving answers in saved attempts and keeping retries usable when generation was unavailable.

    Read the CueTools case study

    How we can work together

    1. 01

      Understand the work

      Map the current workflow, users, constraints and success criteria. Agree on the smallest useful scope.

    2. 02

      Build and test a first slice

      Put a working version in front of the people who will use it. Check the awkward cases as well as the normal path.

    3. 03

      Release with a clear handover

      Plan deployment, monitoring, documentation and ongoing ownership. Use what the first release teaches us to decide what comes next.

    Bring one task, a few representative examples and the result you want to improve. We can work through data access, human review and whether AI adds enough value to justify the extra moving parts.

    Choosing your first useful AI workflow