AI for Managers & Leaders: Lead the AI-Ready Organisation

Level: Intermediate | Tags: Leadership · Change management · AI adoption, Leadership · Change management · AI adoption

Course Description

Implementing AI is only 20% technology; the other 80% is people. This course equips middle and senior managers with the skills to lead teams through digital transformation. Learn how to champion AI adoption, overcome employee resistance, and measure the true impact of AI on your team’s performance.

Implementing AI is as much about people as it is about technology. This course equips leaders at all levels with the skills to guide diverse teams through digital transformation thoughtfully. Learn how to champion accessible AI adoption, address workforce concerns with empathy, and measure the holistic impact of AI on your team’s well-being, engagement, and performance.

Learning Outcomes

  • Develop empathetic change management strategies that foster psychological safety and address diverse workforce perspectives around AI.
  • Identify accessible AI tools that accommodate varied working styles, support neurodiversity, and meet specific departmental needs.
  • Establish holistic metrics to measure not just productivity gains, but also team well-being and the equitable impact of AI across your workforce.
  • Design interconnected AI workflows that pass data seamlessly between departments.
  • Implement custom AI agents and internal knowledge bases (RAG – Retrieval-Augmented Generation).
  • Calculate and optimize the total cost of ownership (TCO) and ROI for enterprise GenAI scaling.
  • Develop effective change management strategies to ease workforce anxiety around AI.
  • Identify the right AI tools for your specific departmental needs and workflows.
  • Establish clear KPIs to measure productivity gains and AI ROI within your team.

Course Outline

  • Module 1: Inclusive Leadership in the AI Transition: Guiding Teams with Empathy
  • Module 2: Change Management: Fostering Psychological Safety, Trust, and Curiosity
  • Module 3: Redesigning Workflows: Building Human-Centric and Equitable AI Processes
  • Module 4: Metrics that Matter: Tracking Adoption, Employee Well-being, and ROI
  • Module 5: The Manager’s Role in the AI Transition
  • Module 6: Change Management: Addressing Job Security and Fostering Curiosity
  • Module 7: Redesigning Workflows: Human-in-the-Loop Processes
  • Module 8: Metrics that Matter: Tracking Adoption and Productivity ROI

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