Your next step: AI Leadership Bootcamp
Thursday, 14 January 2027
CHF 990.–
Secure your spot
Also available as company training.
Tailored to your strategy, starting point and business use cases.
Enquire about company training →Applied AI Leadership
Understand AI, prioritize opportunities and plan implementation.
In this one-day bootcamp, you will build a practical foundation for using AI in your organization. You will assess your current position, prioritize relevant use cases and develop a strategic implementation roadmap with clear next steps.
You will leave not only with new knowledge, but with tangible outcomes for your organization.
Applied AI Leadership
From strategic clarity to concrete next steps.
Client feedback from a leadership and AI strategy workshop
Using AI effectively is a leadership responsibility. As an executive team, we need to understand the opportunities, the conditions required and the decisions we need to make. Dreamleap worked through these questions with us in a clear and practical way. The workshop helped us sharpen our priorities, clarify responsibilities and identify the next steps. What was especially valuable was the combination of strategic orientation and working on our own real-world cases.
The AI questions companies need to address now.
Nina and Julia discuss the AI questions companies face today — and how we work through them together in the AI Leadership Bootcamp.
What you get – tangible outcomes.
The training day is designed so that you can apply the results directly in your organization.
- Structured assessment of your AI readiness
- Clearly defined AI goals
- Prioritized list of relevant use cases
- Initial guardrails for governance and accountability
- Strategic AI roadmap for the next 6 to 12 months
- Clearly defined next steps and responsibilities
- Management-ready decision document
Your additional benefits
Your Club access, private AI chat and learning video library access last for 12 months from your attendance.
- AI Business Club
Access to all events and a strong network.
- Private AI Community
Your express lane to business value with AI: Ask technical and business questions in our private AI chat whenever they come up.
- Tools & partner offers
Early access or discounts on useful AI tools and partner offers from our network.
- Learning video library
Access to our library of learning videos.
- Ongoing support
Get in touch even after the training. Our team continues to support you through relevant follow-up services.
Strategy, use cases and implementation work together.
You first create strategic clarity, then develop relevant AI use cases and translate them into a prioritized implementation roadmap at management level.
Strategic orientation
You will understand what generative AI can achieve, where its limits matter and what this means for business models, processes and leadership.
Develop use cases
You will identify concrete opportunities in your organization and clearly describe their value, target outcome and expected impact.
Prioritize use cases
You will evaluate use cases by business value, feasibility, effort and risk, then identify the most important initiatives.
Implementation roadmap and leadership
You will define guardrails, responsibilities and a strategic AI roadmap for the next 6 to 12 months, including clear decisions and next steps.
✓
Access to our community and ongoing learning resources
✓
Materials from all learning modules
✓
Frameworks, templates and worksheets
✓
Small group with personal feedback
Step by step from strategy to implementation.
The eight modules take you from strategic clarity through use case development and prioritization to a practical implementation roadmap.
Phase 01
Orientation and focus
Understand and assess AI
- Capabilities and limits of generative AI
- Relevant principles explained in plain language
- Impact on business models, processes and work
- Personal AI tools for analysis, preparation and communication
Clarify your current position and goals
- Assess your organization’s AI readiness
- Review current activities, capabilities and prerequisites
- Define relevant business goals
- Formulate a clear AI ambition
Phase 02
Use cases and responsibility
Identify use cases
- Identify concrete problems and opportunities in your organization
- Develop suitable AI use cases
- Describe use cases clearly and concisely
- Define value and expected impact
Prioritize use cases
- Evaluate business value
- Assess feasibility and effort
- Review data, capabilities and technical prerequisites
- Consider risks, dependencies and priority initiatives
AI governance and organisational leadership
With guest speaker Jacqueline Kucera: responsibilities, roles and organisational guardrails.
- Define guardrails for safe AI use
- Assign roles and responsibilities
- Address data protection, quality and human oversight
- Plan approval and decision-making processes
Key leadership capabilities for change
- Clarify your role as a leader in AI-driven change
- Strengthen leadership capabilities for AI-enabled work
- Involve employees early and address resistance
- Organize learning, exchange and capability building
Phase 03
Implementation roadmap and management decisions
Develop a strategic AI roadmap
- Plan initiatives for the next 6 to 12 months
- Define pilot projects and enabling measures
- Assign owners and success criteria
- Define next steps, owners and required decisions
Prepare results for management
- Summarize the current position and goals
- Present prioritized use cases
- Explain value, risks and prerequisites
- Present the implementation roadmap and required decisions
Our clients and partners
One day that turns interest in AI into a clear direction.
You will work on your real business situation and connect strategic decisions with concrete next steps for your organization.
Strategic implementation roadmap
Prioritized initiatives and clear next decisions for the coming 6 to 12 months.
Direct application
Practical frameworks, exercises and personal feedback based on your situation.
Responsibility and leadership
Clear guardrails, roles and actions for involving your teams.
For people who want to move AI forward in their organization.
The bootcamp is designed for people with leadership, decision-making or implementation responsibility.
Executive team members
Department and team leaders
Strategy and innovation leaders
Digitalization and transformation leaders
Marketing, HR and IT leaders
Project leaders responsible for AI initiatives
This training is suitable for people who want to assess, prioritize and implement AI in their organization.
Practical, accessible and without a technical entry barrier.
In a small group, we discuss real business cases, compare different approaches and give each other feedback. No technical prior knowledge is required.
What you should bring
No technical background is required.
- Leadership or decision-making responsibility
- Interest in strategic and organizational AI topics
- Willingness to work on concrete business questions
- Initial ideas or challenges from your own organization
No confidential company data is required.
How we work
The day combines concise expert input with direct application and exchange.
- Short and accessible expert input
- Work with practical frameworks and templates
- Short practical session on personal AI tools for leaders
- Individual work and small-group exchange
- Discussion of real business cases
- Personal feedback from the trainers
- Small group for focused support
After the bootcamp, you will be able to prepare decisions with greater clarity.
You will be able to address the most important strategic, organizational and leadership questions in a structured way.
Assess the capabilities and limits of generative AI
Evaluate an organization’s AI readiness in a structured way
Identify and describe relevant use cases
Prioritize use cases by value, effort, feasibility and risk
Define initial guardrails and responsibilities
Apply key leadership capabilities for change
Develop a strategic AI roadmap for the next 6 to 12 months
Use AI tools responsibly to prepare decisions and communication
Prepare the results clearly for management
“The AI Leadership Workshop helped us establish AI as a leadership and transformation priority, supported by sound principles and clear examples.”
Strategic experience meets practical AI implementation.
You will be guided by two experienced trainers with expertise in strategy, leadership, enablement and applied AI.
Julia Herz
COO and Head of AI Academy at dreamleap
- Expert in AI strategy, leadership and enablement
- MSc in Business Intelligence
Nina Habicht
Founder and CEO of dreamleap
- AI entrepreneur and trainer
- MAS in Computer System Engineering
Do I need technical knowledge?
No. The focus is on strategy, leadership, prioritization and implementation. Technical foundations are explained clearly and only to the extent needed for informed decisions.
What will I take away?
You will leave with an assessment of your current position, prioritized use cases, initial guardrails, a strategic AI roadmap and clearly defined next steps.
Will I work on my own organization?
Yes. The exercises are designed so that you can apply them to your own organization or area of responsibility.
Do I need to bring confidential data?
No. The exercises do not require confidential company data.
How practical is the training?
Most of the day consists of exercises, case examples, discussions and feedback.
Is the training tied to specific tools?
No. The bootcamp is tool-agnostic. The focus is on business value, responsibility, leadership and implementation.
Can several people from the same organization attend?
Yes. Attending together can be valuable because strategy, business teams, IT and leadership can align their perspectives directly.
Is the bootcamp also available as corporate training?
Yes. As corporate training, the program can be tailored to your organization’s strategy, current position and use cases.
Create clarity for AI implementation in your organization.
Secure a place in the public bootcamp or request tailored corporate training for your team.
Get in touch with us
We will be happy to answer your course enquiry as soon as possible.