AI isn’t just tech - it’s a leadership shift that’s fast, messy, full of opportunity and risks.

This session, part one of a three-part series, demystifies the tech, frames where it fits, and focuses on what leaders need to do differently. You’ll leave with confidence and clarity on how to lead with AI, the role of AI in your organisation, and how to make sure it’s delivering value. Resources will be available to download during the workshop.

This webinar is for people in leadership roles

• Team leaders, GMs, senior managers, project directors
• Accountable for budgets, and teams
• Not tech, data or AI specialists

Who

• Feel pressure to ‘do something with AI’ but unclear on what that is
• Are managing change fatigue, and balancing new tech hype with everyday productivity
• Want to be able to speak credibly about AI to their peers, teams, execs, boards, or stakeholders
• Treading the line between tech hype saying to speed up, and risk saying to slow down
• Curious, capable, and ready to get practical - but tired of buzzwords and big promises

This is number one of a series of three. You can complete it as a stand-alone introduction, but chances are you’ll want more. If you sign up to all three webinars at once, you'll receive our special combo price of $500+GST.

After completing this webinar, you will have gained:

• A clearer view on leadership with AI in your workforce, your role in your organisation’s AI landscape, and what to expect from others
• Practical questions to ask that help you make smart, ethical, and strategic calls
• Greater confidence and clarity about how to lead when human and artificial intelligence work side by side

• A practical framework for using AI toaugment, accelerate, and amplifyyour team’s performance

• A clear sense of how human intelligence and artificial intelligence complement each other, and where judgment still matters most

• Strategies for building trust, accountability, and ethical usewhen AI joins the workflow

• Greater confidence to guide the conversation, set boundaries, and lead progress safely

• Simple ways to measure and prove the impact of AI

• Language to describe “good” use of AI to your team, and keep them on track

• Clarity on what to measure and why it’s important to organisational progress and results

Part One: Leading the Shift – The AI-daptive Leader

Focus: You and your organisation

How leadership is changing as AI becomes part of everyday work, and what that means for your role, responsibilities, and priorities.

We’ll explore

• How and why AI is reshaping the expectations of leaders
• Clarifying who is responsible for what - across business, tech, and governance
• How to frame AI to align with your organisation’s strategy and focus your energy where it matters

Part Two: AI in your team – The Partnership

Focus: You and your team

Understanding how to lead a team that includes both human and artificial intelligence - building trust, capability, and confidence so that AI becomes a productive part of daily work.

We’ll explore

• What AI is, isn’t and types of AI
• When AI goes bad, ethical considerations for you and your team
• How to set clear, practical guardrailsso AI is used safely and confidently in daily work
• Helping your team with AI, not replacing them
• The Augment (your thinking partner), Accelerate (speed and efficiency) and Amplify (extend performance and impact) framework

Part Three: AI in Action – Return on Intelligence

Focus: You and your results

Moving from AI activity to meaningful impact - understanding what to measure, how to measure it, and how to show that it’s working. So that your energy goes into useful AI activity.

We’ll explore

• Why measuring the impact of AI is more important than measuring use
• Defining “good use of AI” for you and your organisation
• Explore light touch, and deeper ways of measuring the impact and results of using AI