How Might We Drive AI Transformation in Organisations? (Round III)
AI is everywhere. Yet in many organisations, it remains stuck in pilots, buried in IT departments, or celebrated in presentations but rarely embedded into everyday work. Why is it so hard to move AI from idea to impact?
CTRL+SHIFT+CHANGE returns with our third session in an ongoing series exploring why AI adoption and organisational transformation are often far harder than expected — and how leaders, teams, and practitioners can better make sense of the change dynamics around them.
In earlier sessions, we explored the structural dimensions of change through models such as Leavitt’s Diamond and Micro–Meso–Macro systems.
This session introduces the Three Horizons Model to explore another critical dimension of transformation - time. Participants will together examine how organisations simultaneously operate across different time horizons — and why AI adoption becomes difficult when different groups within the same organisation are operating from different time perspectives.
As usual, these sessions are meant for participants to collectively explore:
The real friction points that make AI adoption harder than expected
Why transition spaces between current operations and future possibilities are often the hardest parts of transformation
How to distinguish between technical, leadership, governance, capability, and organisational transition challenges
Simple sense-making models to better understand the type of change dynamics you are facing
Practical moves within your own sphere of control that can make progress easier, even without large mandates or budgets
Cross-sector perspectives from healthcare, education, and the public sector, offering practical insights you can adapt to your own organisation
Participants can look forward to leaving with a sharper understanding of the dynamics behind AI transformation, clearer language to engage leadership and stakeholders, and one or two experiments you can try immediately.
And as this series continues, each session will introduce a new model and a deeper language for understanding and navigating AI-enabled organisational change — while learning from one another’s real-world experiences and contexts.
More About the Facilitators
Dr Ng Yeuk Fan is a Senior Consultant Public Health Physician and Director of Corporate Development at Khoo Teck Puat Hospital & Yishun Community Hospital under NHG. He leads initiatives in value‑based care, integrated care design, and population health systems, applying systems thinking and complexity approaches to drive practical health system transformation. Dr Ng is also an Adjunct Associate Professor at the Saw Swee Hock School of Public Health and Duke‑NUS Medical School, teaching and contributing to research in health systems and care innovation.
Chan Kuang Wen is an educator. In his day job, he leads a team that drives AI literacy and innovative teaching practices for schools and the education sector. He focuses on preparing students for the future with AI, supporting staff professional development in educational technology and AI, and collaborating across departments to explore new pedagogical approaches. His work bridges practical classroom applications with strategic innovation, offering a grounded perspective on AI adoption in education.
Loy Hui Chien is a public officer with experience across government roles locally and overseas, and the first Lorong AI Fellow. Passionate about harnessing digital and AI tools to enhance his effectiveness as a professional and leader, he believes generative AI marks the most exciting era of computing in decades. He seeks to connect with AI changemakers in Singapore and strengthen our collective AI journey.
More About The Series
CTRL+SHIFT+CHANGE is a discussion series for leaders and practitioners navigating AI adoption in organisations. Explore practical challenges, hear from changemakers driving AI adoption, and discuss approaches that turn ideas into actionable outcomes. Learn, reflect, and connect with peers who are experimenting with AI in real-world settings.
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