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Leadership in the Age of AI Workshop
AI Leadership Agility; AI Leadership Agility: From Digital Transformation to Human-AI Collaboration
A One-Day Immersive Workshop for Leaders in Your Industry
Logistics & Customisation
- Duration: 1 full day (09:00 – 17:00)
- Max participants: 20 per cohort (to ensure deep interaction)
- Format: On‑site at your premises or off‑site venue
- Tailoring: We adapt all case studies, scenarios, and discussions to your specific industry and business context
額外資訊
| 工作家庭 | AI, Leadership |
|---|---|
| 角色 | Executive |
| 工作坊類別 | Leadership & Management |
Why This Workshop?
Across every industry, organisations are rapidly moving from “using AI” to living with AI – from automated customer service to AI‑powered decision support. Yet most leaders still manage AI projects like traditional IT, and struggle with:
- Where to draw the line between human judgment and AI decisions
- How to lead teams when AI becomes a digital team member
- Which risks to watch for in the AI lifecycle – before and after deployment – including model bias, data privacy, and regulatory expectations
This workshop gives you practical frameworks, hands‑on exercises, and a leadership mindset tailored for the Age of AI – and we customise case studies to your industry.
學習目標
By the end of the day, participants will be able to:
- Describe the key AI transformation trends shaping business globally – from generative AI to autonomous agents
- Apply Design Thinking to uncover human‑centric AI opportunities in their own workflows
- Use the 7 Levels of Delegation to design human‑AI decision boundaries
- Lead with M‑Shaped skills (beyond I, T, or π) in an AI‑enriched environment
- Distinguish between Clear, Complicated, Complex & Chaotic problems (Cynefin) and choose the right AI collaboration mode
- Spot the 6 most common AI failure modes before they kill a project – from data bias to proof‑of‑concept traps
- Navigate an AI project using the CPMAI 6‑phase iterative framework (Business Understanding → Operationalization)
- Embed Responsible AI (fairness, explainability, privacy, accountability) into daily decisions
- Build a personal M‑Skilled Worker action plan to stay relevant
Workshop Outline (One Full Day)
| Module | Focus | Key Activities |
|---|---|---|
| 1 – General AI Trends & Transformation | Global AI trends (generative AI, autonomous agents, responsible AI, human-AI collaboration), industry-agnostic | Trend-matching game, group discussion |
| 2 – Leadership in the Age of AI (Core) | 7 Patterns of AI, Design Thinking, M-Skilled, Cynefin, 7 Levels of Delegation, Responsible AI, 7 Leadership Principles | Delegation Poker with 8 scenarios (customisable to your industry), Cynefin case sorting, M-Skilled self-assessment |
| 3 – AI Project Management | Common AI failure modes, CPMAI 6 phases (Business Understanding → Operationalization) | CPMAI matching game, failure pattern detective exercise |
| Wrap-up & Action Plan | Personal M-Skilled commitment, post-workshop learning sprints | Action pledge, Q&A |
Key Frameworks You Will Master – Applied to Your Context
| Framework | Application (Customisable to Your Industry) |
|---|---|
| 7 Patterns of AI | Hyperpersonalisation, anomaly detection, autonomous systems, etc. |
| 7 Levels of Delegation (Human→AI) | From “Consult” (AI suggests) to “Delegate” (AI acts independently) |
| Cynefin | Match problem type (Clear/Complicated/Complex/Chaotic) with AI response |
| CPMAI | End-to-end AI project lifecycle for business results |
| M-Skilled Worker | Multiple domains + AI fluency – future-proof your career |
| Responsible AI | Fairness, explainability, privacy, security, resilience |
| 7 Leadership Principles for AI | e.g. “Design the human-AI boundary”, “Build trust calibration” |
We Tailor Case Studies to Your Industry
Examples of customisation:
| Industry | Sample Scenarios We Can Use |
|---|---|
| Banking / Finance | Credit approval, fraud detection, customer service automation |
| Insurance | Claims triage, underwriting support, telematics |
| Retail / E-commerce | Personalised recommendations, inventory forecasting, chatbots |
| Manufacturing | Predictive maintenance, quality control, supply chain optimisation |
| Logistics | Route optimisation, demand forecasting, warehouse robotics |
| Healthcare | Patient triage, medical image analysis, appointment scheduling |
| Telecommunications | Churn prediction, network optimisation, customer support |
Tell us your industry. We bring relevant case studies and scenarios that your leaders will recognise.
What Makes This Workshop Different?
- Industry‑agnostic core + tailored scenarios – you get general principles and industry‑specific practice
- Not just theory – 50%+ of time is spent on exercises, card games, case simulations
- Not for IT only – designed for business leaders and risk managers who make real decisions
- Actionable output – each participant leaves with a personal M‑Skilled action plan
Facilitator Style & Language
- Interactive, case‑based, highly visual
- English courseware (can be delivered in Cantonese / English / Mandarin)
- Uses digital tools (Menti, online matching games) and physical card games
我們的工作坊時間表
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繁體中文 
English (UK) 
简体中文 