What is organisational AI capability, and do you have it? These ten tests help leaders evaluate the strength of their AI capability, and where the gaps might be. Each test draws from the AI360 Framework and reflects a critical condition for mature, effective AI adoption.

As AI moves from experimentation to adoption, organisations face a common challenge: Our people aren’t all starting from the same place. Some are curious. Some are cautious. Many are unsure how AI will affect their role. Some are already using it like a super power - and wondering why no one else is. To move forward together, organisations need more than just training - they need clarity, confidence, and a shared sense of direction. So, how we we create the journey towards a future-ready workforce?

One of the most frequent and valid questions raised by executive teams is: “What is the return on investment from AI?” It's a question that cuts through the hype and demands a more grounded conversation. Despite rolling out AI inititaitves, many organisations remain unclear on what value they are actually pursuing, or whether their current efforts are strategically aligned. This article shares how to find the value in AI by asking one question.

This week, I had the privilege of presenting alongside Holly Wright, an AI and Cyber Software Engineer at IBM, at a joint event hosted by the Australian Women in Security Network (AWSN) and Suncorp. Our talks tackled one of the most urgent challenges in artificial intelligence: the widening gap between secure and trusted systems. In this article, you’ll explore why even the most technically robust AI systems can fail in practice—and why trust, not just technology, will determine whether people actually use them.

AI is transforming the workplace—but not always in the ways we expect. While it promises efficiency, it’s quietly increasing pressure, accelerating burnout, and flooding teams with low-quality content. These hidden effects are rarely tracked, yet they shape how people experience AI every day. If we want adoption to succeed, we must design for humans, not just machines. This piece explores the silent costs of AI—and how leaders can manage them before they spiral.

Artificial intelligence (AI) is transforming industries at an unprecedented pace, and is impacting our future of work. But as we integrate AI into professional settings, a fundamental question exists: How do we build trust in AI?

AI360 Review Co-founder, Sarah Daly, was recently published in Sensemaking with AI: How Trust Influences Human-AI Collaboration. The study explores this question across different industry contexts, revealing how trust influences AI adoption, decision-making, and collaboration. The findings have implications for organizations looking to harness AI’s potential while ensuring it aligns with human values and professional norms.

As artificial intelligence (AI) reshapes industries, organizations face the challenge of balancing rapid adoption with responsible governance. According to a recent report from the Australian Securities and Investments Commission (ASIC), many organizations are adopting AI faster than they’re updating governance and risk management practices, particularly in sectors such as banking, insurance, and financial services. This gap poses significant risks, as without proper oversight, AI systems can introduce unintended biases, privacy issues, and compliance risks that undermine consumer trust and regulatory alignment.