Masterclass AI for Leaders/Managers: Vision, Impact & Strategy

1 x half day workshop - Executive Session

Recommended for leaders prior to staff AI training

Summary:

This leadership workshop introduces the evolving AI landscape, demystifies Large Language Models and chatbots, and explores how workflows evolve into AI agents. It equips leaders with the insight and hands-on experience needed to lead effectively in an AI-driven workplace. Built on a proven masterclass structure delivered to multiple organisations, then tuned per client: which AI tools their staff actually use, which governance framework applies, and a live case study or exercise chosen to land with that leadership team specifically.

Course Breakdown:

Why AI Matters for Leadership

• Why AI matters now
• Leadership’s role in adoption
• Organisation-specific context and session goals
• Use case: practising AI adoption conversations

Governance First

• The organisation’s own approved AI tools, not a generic list
• Third-party AI boundaries
• Data protection
• Human responsibility and verification
• Ethics, bias and oversight

GenAI Basics for Leaders

• AI, GenAI, LLMs and chatbots
• Deterministic vs probabilistic behaviour
• Hallucinations and reliability
• Sources and grounding
• Use case: structured content creation
• Use case: an AI prompting agent

Chatbot Overview & Practice

• The major chatbots compared
• The organisation’s approved-tool positioning
• Use case: meeting minutes
• Use case: an HR policy assistant agent

Leadership Exercise

• What leaders control in AI adoption
• Use case: a department AI task audit
• Use case: a budget allocation model

Adoption Planning & Q&A

• What to pilot first
• What needs approval or policy guidance
• What managers should communicate to their teams
• Use case: spot the risk, choose the control

Outcome:

Leaders will gain a clear strategic understanding of generative AI, including its capabilities, limitations, and implications for their organisation. They will leave equipped to make informed decisions, guide AI adoption responsibly, and align AI strategy with business goals, laying the groundwork for successful, organisation-wide AI integration. Because the tools, governance framework and case study are all tuned to their own organisation, leaders leave with a briefing they can act on immediately, not a generic AI talk.