Most leaders aren’t struggling with the technology itself, but with the question:
How do you effectively lead your organization in the age of AI?
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What is strategically meaningful versus hype?
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How do you set up governance and budgets that accelerate instead of slow things down?
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How do you create alignment across your leadership team?
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How do you translate AI ambition into concrete, executable decisions?
This is not a theoretical training.
You work directly on your own organizational context, using a proven framework to align, make decisions, and define next steps.
The goal is not to produce a complete AI strategy in one day, but something more valuable: clarity, alignment, and momentum.
Objectives
After this training you can:
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Evaluate AI opportunities based on strategic value and business impact
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Create alignment across your leadership team on AI priorities
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Link AI investments to measurable outcomes
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Prioritize what to accelerate, explore, or stop
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Develop a shared AI language for better decision-making
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Define governance that balances speed with risk management
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Establish ownership and next steps to maintain momentum
Programme
Morning – AI Landscape & Shared Understanding
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Understanding key AI concepts (LLMs, GenAI, agents)
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Building a shared executive AI language
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Assessing your organization’s AI maturity
Morning – Governance, Strategy & Decision-Making
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Designing governance that enables both speed and control
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Defining risk, compliance, and ethical boundaries
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Translating AI into strategic choices
Afternoon – Leadership, Workforce & Operating Model
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Moving from AI experimentation to structured value creation
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Identifying who needs to become AI-Native first
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Exploring culture, leadership, and change dynamics
Afternoon – Investments & AI Money Map
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Prioritizing AI initiatives
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Working with the AI Money Map to structure investments
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Connecting investments to measurable business outcomes
Closing – Alignment & Action
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Clear priorities and decisions
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Ownership per initiative
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Concrete roadmap and next steps