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Leadership in the Age of AI Workshop

认证工作坊

Leadership in the Age of AI Workshop

摘要

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

Workshop information
工作家庭AI, Leadership
角色Executive
工作坊类别Leadership & Management

认证详情

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

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.

学习目标

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 Total training content: 6.5 hours (plus breaks & lunch – total 8 hours)

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

Leadership in the Age of AI Workshop

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地址: 上海市闵行区虹梅南路1755号1幢1层201101F #1755 Hongmei Road South, Minhang District, Shanghai, 201104, P.R.China

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