Insights
8 articles
Practical writing on applying AI in an Australian business: how to choose a first automation project, what shadow AI is already costing you, how to design approval gates that are not rubber stamps, and how to measure whether any of it worked.
Choose a first AI automation project that is high-volume, document-driven, rule-bounded and recoverable if it goes wrong. The instinct is to start with the most painful process in the business; that is usually the wrong call, because the first project is also how your organisation learns what these systems do well and badly.
Unapproved AI tools are in use in most Australian businesses right now. What shadow AI is, where it hides, what it exposes, and how to find it.
A straight comparison of AI automation, RPA and no-code tools like Zapier and Power Automate: what each is good at, and how to choose between them.
What belongs in an AI usage policy for an Australian business, what to leave out, and why the ones written against staff get routed around.
Human oversight of AI only works if the human can realistically say no. How to design approval gates that survive volume, fatigue and pressure.
How the Privacy Act and the Australian Privacy Principles apply when a business starts using AI: cross-border disclosure, secondary use, accuracy.
AI agents cannot reliably tell your instructions from instructions hidden in the data they read. What prompt injection is, and how to design around it.
How to measure the return on an AI project honestly: the metric to agree before the build, and why hours saved is not the same as money saved.
But at some point it helps to talk about your actual process. Thirty minutes, no preparation, and a straight answer on whether there's anything here worth building.