Articles

In this exclusive double interview, we speak with Andrew Spiegelman (Head of Data & Analytics, Service NSW) and Alex Young (Head of Innovation, Strategy & Growth, Australian Red Cross Lifeblood) about how they're approaching automation and agentic AI inside high-accountability, high-stakes environments.

Together, they offer real-world insight into:

• Why automation succeeds when it solves problems, not when it chases headlines
• The hidden costs of AI implementation (hint: it’s not just the tech)
• Balancing innovation with privacy, security, and ethical oversight
• The role of “data labour” in making automation actually work
• What makes a vendor credible, and what makes them lose the room

Whether you're navigating automation in government, healthcare, or a regulated industry, these leaders share practical strategies, hard-won lessons, and the questions every organisation should be asking before investing in AI.

Download Now and learn how real transformation happens behind the scenes, deliberate, collaborative, and built for trust.

The question is no longer whether to invest in AI – almost three-quarters of organisations already rate it as critical to their strategy – but how to scale what works in pilots to the whole enterprise. That gap is wide and growing: only 11 per cent of organisations use AI systematically to deliver transformational results, fewer than half have governance policies in place, and just 33 per cent see their AI initiatives as fully aligned with business goals.

Drawing on original data and practitioner insight, this report identifies what separates organisations that have industrialised AI from those still stuck piloting it, positions transformation leaders as best placed to close that gap.