AI Leadership: The AI Integration Roadmap
Half-day intensive workshop for leadership teams to move from ad-hoc AI use to a clear integration roadmap, covering maturity assessment, risk/compliance (EU AI Act), AI stack choices, training plans, and governance.
Duration
Half-day
Language
English/Dutch
Certification
Yes
Format
In-person
Level
Manager/Leader
Who Is it For?
Your specialization
Your current area of expertise
C-suite executives
Department heads
Senior managers leading AI adoption
What you bring to the table
Your experience & skill set
No technical background required
Familiarity with generative AI tools (e.g., ChatGPT) is helpful but not required
Come prepared to discuss the organization’s current AI landscape honestly
Key Takeaways
By the end of this course, participants will be able to
Explain how AI works at a level sufficient for leadership decision-making — the role of data, the difference between generative AI, agents, and other AI types
1
Assess their organization’s AI maturity, talent readiness, and data readiness using a structured framework
2
Identify and evaluate risks: data safety, algorithmic bias, consumer behavioural shifts, and regulatory obligations under the EU AI Act
3
Define their organization’s AI “stack” — which tools, platforms, and agent architectures fit their context
4
Draft the foundations of a company AI policy covering governance, acceptable use, and compliance
5
Build a communication plan for AI adoption that addresses resistance and repositions AI as an enabler
6
Design a training plan, coaching plan, and the structure for an internal AI Centre of Excellence
7
Articulate where AI is heading — AI swarms, embodied AI, AGI — and what that means for workforce planning
8
Program
A half-day intensive, in-company workshop (on-location) combining concise theory, hands-on mapping, and leadership discussion. Participants apply the framework directly to their organization’s context and leave with a practical AI integration roadmap.
AI "brain", the role of data, and types of AI leaders need to understand.
Data safety, bias, consumer shifts, and EU AI Act impact.
Assess maturity/readiness, identify gaps, prioritise next steps.
Map tools, platforms, and agent architectures that fit your context.
Design training/coaching plans; identify and support AI champions.
Set expectations, build trust, define governance, and outline a Centre of Excellence.
AI swarms, embodied AI, AGI/ASI — what leaders should watch and how to adapt.
Fiona Passantino
TEDx speaker, author of multiple award-winning business books, including "AI-Powered Professional (2025)", and host of the blog and podcast Working Humans, co-founder of the "School for AI-Human Skills", Fiona is a highly engaging keynote speaker who makes AI and today’s technology understandable, accessible, fun and inspiring. Her mission is to empower the low-tech and no-tech Working Human so we can all help shape the future, and realizes this with humor, vision and visuals. AI can strengthen leadership, communication, and workplace culture, to form connection and better interaction.
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