This episode explores one of the most important and least discussed factors in AI adoption inside small and medium businesses. It is not the tools or the models. It is the people. As AI moves into daily workflows, six distinct tribes are forming across organisations, each with its own mindset, motivations, and impact on progress.

Listeners will get a clear view of the Evangelists who push ahead with enthusiasm, the Natives who build clever shortcuts that sometimes outpace governance, the Migrants who want to learn but fear breaking things, the Agnostics who question the hype, the Rebels who challenge every assumption, and the Saboteurs who resist so strongly that performance is affected.

The episode breaks down how these tribes behave, how they influence each other, and what leaders can do to guide them toward productive, safe, and aligned use of AI. Expect a practical framework, simple strategies, and examples of conversations that help teams move forward with confidence instead of confusion.

This is designed for anyone responsible for people, productivity, or transformation. Listeners will walk away with a way to diagnose what is actually happening inside their organisation and a set of actions that can be applied immediately.

A concise, grounded look at the human patterns shaping AI adoption and a useful guide for turning mixed mindsets into collective momentum.

Artificial intelligence is reshaping how Australian organisations operate, innovate, and serve their customers. The opportunity is enormous. Responsible AI gives you stronger trust, sharper performance, and a real competitive edge.

But the speed and complexity of AI also create new risks. Opaque models, hidden decision logic, and unpredictable behaviour can introduce bias and undermine trust. Once trust is broken, research shows it is incredibly hard to win back. If you work in governance, if you are a technical specialist, or if you lead a team that depends on AI, you need the capability to manage commercial, reputational, and regulatory risk.

This commute-friendly episode breaks down the Guidance for AI Adoption, the Australian government’s national benchmark for safe and sustainable AI use. Developed by the National AI Centre, it brings together earlier guardrails and distils them into six core practices designed to protect people, organisations, and broader society.

In this episode, you will hear how to establish meaningful human control, how to test and monitor systems throughout their lifecycle, and how to make supply chain responsibility clear and enforceable. These practices close the gap between knowing what good looks like and actually putting it into action.

By mastering these six practices, you build confidence, trust, and long term value. You position your organisation to innovate safely. And you give yourself the skills to lead in an AI powered world.

Artificial Intelligence remains one of the most exciting capabilities in the enterprise, currently driving 40% of today’s stock market valuations. Yet, at the current state of practice, AI is often "over-promised and under-delivered". The harsh reality is that fewer than 15% of AI initiatives achieve their intended enterprise scale. This failure stems not from the quality of the models themselves, but from the inadequate operating model surrounding them. To make AI truly work, organisations must embed this capability within a structure that is rigorously aligned with their strategy, vision, and goals. Organisations that succeed don't just have great models - they have great operating models. Today, we break down the five essential pillars needed to transform AI from a standalone experiment into a core, value-compounding business enabler:1. Capability: Aligning the AI portfolio with organisational strategy, treating AI as a portfolio of reusable capabilities, not a one-off project.2. Engagement: Designing frictionless, human-centered processes and leveraging AI translators to drive specific outcomes for targeted personas.3. Reporting: Focusing on measuring strategic impact (like retention or growth) instead of just technical accuracy.4. Governance: Orchestrating for speed, strategy, and trust through aligned forums—like Ethics Boards—to ensure fairness and transparency.5. Structure: Building a foundation of leadership, alignment, and responsiveness, often by combining a central AI Center of Excellence (CoE) with embedded business unit translators.Join us as we explore how these five pillars provide the structure necessary for your organisation to build AI that compounds in value and impact over time.