Insights

The unchecked version looked better. That was the uncomfortable part. Yesterday, we ran an AI Leadership Session with the executive, senior leaders and managers of a Primary Health Network, as part of their Data & AI Capability Program, From Strategy to Practice. The task was simple. Leaders were given two versions of the same one-page briefing. One had been properly checked. The other was unchecked AI output. The unchecked version was smoother. It read well. It had a confide

Most workforce surveys produce a report that gets read once and filed. The problem usually starts at design not analysis. Here's how to build a survey that informs real decisions earns strong response rates and gives you a trend line funders trust.

Most AI projects don't stall because of the technology. They stall because the organisation wasn't ready. Before investing in tools, leaders need a clear view of what problems AI should solve, whether their data can support it, and whether their people and processes are prepared for the change. This post sets out best practice for AI adoption, starting with strategy and readiness, so your investment delivers real outcomes rather than another pilot that goes nowhere.

Many organisations invest in data and AI but still struggle to make confident decisions. Here's why the answer starts with the decisions you need to make, not the technology

Grants can help Queensland manufacturers invest in automation, new equipment and cleaner production, but only when the project is clear, commercially sensible and backed by evidence.

AI often fails before the model does, when data is unclear, access is too broad or ownership is vague. Here's how good governance helps teams innovate faster without hidden risks.