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Full Day | Max. 20 Participants
Workshop Outcomes
- Self-awareness of personal change responses and adaptability strengths
- Practical tools for thriving through uncertainty and disruption
- Increased capacity for handling AI-driven workplace changes and job evolution
- Team charter for navigating AI disruption, uncertainty and future transitions
- Strengthened psychological safety and trust for innovation
- Enhanced adaptability and collective problem-solving capabilities
Topics Covered
- Anti-fragility Principles
- Psychological Safety
- SCARF Model: Neuroscience of Change
- Change Fatigue
- Future Readiness
Location
- Willing to work remote
- Willing to work interstate
- Willing to work internationally
How can this workshop be delivered?
- Face to face
Overview
Is change overwhelming your team? In the age of AI and constant change, your team needs more than resilience - they need to become anti-fragile.
In this workshop we will:
- Understand the Science: Learn why change feels threatening and how to become stronger through uncertainty
- Build Anti-Fragility: Develop practical tools for thriving through disruption and unknown futures
- Strengthen Adaptability: Create psychological safety and support structures that flex with change
- Future-Proof Together: Build a team charter for navigating AI, uncertainty and whatever comes next
Workshop Outcomes
- Self-awareness of personal change responses and adaptability strengths
- Practical tools for thriving through uncertainty and disruption
- Increased capacity for handling AI-driven workplace changes and job evolution
- Team charter for navigating AI disruption, uncertainty and future transitions
- Strengthened psychological safety and trust for innovation
- Enhanced adaptability and collective problem-solving capabilities
Topics Covered
- Anti-fragility Principles
- Psychological Safety
- SCARF Model: Neuroscience of Change
- Change Fatigue
- Future Readiness
Who is this workshop for
This workshop is perfect for teams facing:
- AI implementation and automation concerns
- Organisational restructuring or mergers in the digital age
- Leadership transitions during technological shifts
- Workplace evolution (remote, hybrid, new technologies)
- Job role changes due to AI and automation
- Staff uncertainty (contractors, potential redundancies, skill evolution)
- Multiple simultaneous changes creating overwhelm
- Future-proofing teams for unknown disruptions
Handouts/materials provided
- Workbook including individual assessments
- 30-day Pulse Check Meeting
Additional Options:
- Follow-up coaching
What to bring
- A notebook or journal for writing personal reflections (in addition to the workbook)
- Your favourite pen
- An openness to share authentically, try new approaches and support colleagues
Facilitator
About the facilitator
Charlotte is a strategic change and AI transformation advisor with nearly 30 years of experience helping organisations successfully navigate complex, high-stakes change from global IT transformations and cultural shifts to the emerging frontier of AI adoption.
Having delivered major programmes for organisations including Hewlett-Packard, BHP, Elsevier, and CBH, Charlotte brings deep cross-sector expertise spanning technology, mining and resources, publishing, and agribusiness. She understands what it actually takes to turn technology investment into sustained business performance and why most AI initiatives stall before they deliver.
Working at the intersection of organisational change, leadership capability, and AI transformation, Charlotte helps businesses move beyond the hype to practical, people-centred adoption strategies that stick. Her work focuses on building the organisational readiness and leadership clarity needed to extract genuine value from AI not just implement tools.
Charlotte draws on a science-based, feedback-driven approach to building resilient, future-fit organisations and works with leadership teams to close the gap between AI strategy and real-world results.
She is a certified Agile practitioner with qualifications in Business Studies, Change Management, IT, and Management Development.
Key Expertise
- AI Transformation
- Change/Transformational Leadership
- Leadership Coaching & Executive Development
- Organisational Development
- Workforce Resilience
Industry Focus
- Mining
- Agribusiness
- Finance and Insurance
- Publishing
- Technology
- Healthcare
- Government and Public Sector
- Utilities
Based in:
About the facilitator
Charlotte is a strategic change and AI transformation advisor with nearly 30 years of experience helping organisations successfully navigate complex, high-stakes change from global IT transformations and cultural shifts to the emerging frontier of AI adoption.
Having delivered major programmes for organisations including Hewlett-Packard, BHP, Elsevier, and CBH, Charlotte brings deep cross-sector expertise spanning technology, mining and resources, publishing, and agribusiness. She understands what it actually takes to turn technology investment into sustained business performance and why most AI initiatives stall before they deliver.
Working at the intersection of organisational change, leadership capability, and AI transformation, Charlotte helps businesses move beyond the hype to practical, people-centred adoption strategies that stick. Her work focuses on building the organisational readiness and leadership clarity needed to extract genuine value from AI not just implement tools.
Charlotte draws on a science-based, feedback-driven approach to building resilient, future-fit organisations and works with leadership teams to close the gap between AI strategy and real-world results.
She is a certified Agile practitioner with qualifications in Business Studies, Change Management, IT, and Management Development.
Key Expertise
- AI Transformation
- Change/Transformational Leadership
- Leadership Coaching & Executive Development
- Organisational Development
- Workforce Resilience
Industry Focus
- Mining
- Agribusiness
- Finance and Insurance
- Publishing
- Technology
- Healthcare
- Government and Public Sector
- Utilities
Based in:
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