Insights & articles
Perspectives on adopting AI well — practical, outcome-focused thinking for leaders moving into GenerationAI.
The tools finish part of a task and hand the job back. Closing that gap starts with writing down what your people already do without thinking
Off-the-shelf AI finishes a task and hands the job back. Closing the loop starts with documenting the work your people do without thinking.
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Copying an org chart into a swarm of agents skips the process underneath it, and the bill turns up long before the value does.
Agent swarms copy an org chart and skip the process underneath. Map the work, put agents where decisions get made, and measure what they cost.
Small businesses are getting more out of AI than big enterprises because they can actually make decisions, and the gap between trying AI and building it into your workflows is where the value sits.
Most small businesses already use AI, but few have built it into their workflows. Why Australian SMEs move faster than enterprise, and where to start.
The strongest case for AI agents isn't the cost per task. It's that your people stop paying the switching tax.
Australian workers lose hours every week switching between tools. The real value of AI agents is that your people stop carrying that load.
The case for open weight models on your own hardware is control over your data and a price nobody else can change, not a smaller token bill
Open weight models on your own hardware aren't about cheaper tokens. They're about client data that never leaves, and a price nobody else can change.