Introduction to AI & Crafting an AI Strategy for Organizational Transformation *

(27 Oct 2026)

1. Understanding the Core AI Landscape

• Introduction of Key Models: Highlights ofrecentAI tools leaders, for example, GPT , Claude , and DeepSeek.
• Agentic AI: A shift from simple chatbots to autonomous agents capable of using tools and independent decision-making.

2. Crafting Your Division’s AI Strategy

• Moving from Ad-hoc Projects to a Coherent Strategy
• Aligning AI Initiatives with Broader Departmental and Public Service Goals

3. Building an AI-Prevalent Organization

• Fostering Data-Driven Decision making
• Master stakeholder communication and vision-selling

4. Prove Your Strategy

• Capstone Activity: Deliver a 5 minute AI initiative pitch to secure board buy in
• Framework Application The “AI Initiative Canvas ”: to ensure technological, human, and strategic alignment

How Generative AI and Agentic AI Change the World – Principles and Risks

1Agentic AI Application and Use Cases

•  From chatbots to autonomous agents
• Introduction to agent frameworks (e.g., OpenClaw)
• Tool usage, memory, planning, and decision-making
• Use cases: workflow automation, knowledge management

2.  Agent Orchestration 

• Workshop for  multi-agent workflows
• Understanding orchestration patterns (planner–executor, toolchains)

(29 Oct 2026)

Leading the AI-Augmented Team: From Productivity to Organizational Impact *

1. Cultural Evolution: From Replacement to Augmentation

• Mindset Shift:Transitioning team culture from “AI as a competitor” to “AI as a high-performance co-pilot.”

2. Orchestrating Cross-Unit Intelligence

• Frictionless Collaboration:Using AI as a “universal logic layer” to align technical, creative, and commercial departments.
• Unified Knowledge:Implementing centralized AI knowledge bases to eliminate data silos and provide real-time organizational insights.

3. The Human-AI Balance & Governance

• Collaboration by Design: Workflows should be built for “Human-in-the-Loop” validation, ensuring humans remain accountable for AI-generated outcomes.
• Synergy Models:Establishing clear workflows (Sequential vs. Iterative) for seamless human-AI handoffs.

4. Leading Through Transformation (Core Focus)

• The Orchestrator Role:Redefining leadership as the management of a hybrid ecosystem of human staff and autonomous AI agents.
• Adaptive Intelligence:Cultivating the specific agility and digital literacy required to steer an organization through rapid tech cycles.

5. Strategic Analysis: Strategic “Best Practices“ for AI-Augmented Team

• Foster AI Literacy: Build leadership and team-wide understanding to reduce resistance and improve collaboration.

Part 2 (Lead by HKPC Subject Matter Expert)

AI Trends, Generative AI & LLM Real-World Applications

1. AI Trends & Transformation Strategy

• AI Transformation Ladder
• AI-native ecosystem
• Market trends

2.   Identifying AI Opportunities

• Use case discovery framework:

– Productivity gains (internal efficiency)

– Service enhancement (citizen/customer experience)

– New capability creation

• Quick-win vs strategic bets classification

3.  HKPC AI Initiative

• How HKPC drives AI Transformation

Adjunct Assistant Professor, HKU Business School

Chief Executive Officer, KBQuest

Associate Vice President (Teaching and Learning TPG) The University of Hong Kong

Associate Dean (EMBA and IMBA) HKU Business School

Patrick S C Poon Professor in Analytics and Innovation

Chair of Business Analytics and Innovation

Director of The Human

Artificial Intelligence Lab, HKU Centre for AI, Management Organization

He is the inaugural winner of the Faculty Special Contribution Teaching Award, and the founding programme director for the joint EMBA programme in collaboration with Guanghua Management School at Peking University, and the Master of Science in Business Analytics programme of Faculty of Business and Economics at The University of Hong Kong.

Head, AI & Data Science, HKPC