Leadership in AI Transformation
HAI² Leadership Curriculum
AI transformation is the parallel development of people, technology, organization, and culture – making it, above all, a leadership task.
Objectives
Provide Guidance
Enabling implementation.
The curriculum provides overview, orientation, and methodological knowledge to enable executives to define AI strategies, set priorities, and effectively steer implementation.
It is designed as a modular toolkit for the change architecture of your own AI transformation – adapted to the organization, department, participants, prior knowledge, and project phase.
Learning Map
Seven building blocks for an individual learning journey.
Each building block combines sound orientation with application to your company's specific challenges and use cases.
01
AI as a Leadership Task
Understanding AI transformation as a leadership responsibility and actively shaping it.
- Leadership role, responsibility, and personal mindset
- From shared vision to AI strategy
- Business model innovation through AI
- Evaluation criteria, performance measurement, and best practices
02
Introduction to AI for Executives
Developing an intuitive understanding of the functionality, requirements, and limitations of AI systems.
- Machine learning, generative AI, and agent systems
- User experience and solution architectures
- Validation and benchmarking
- Lifecycle of AI projects and case studies
03
Process Analysis and Data Strategy
Methodologically steering AI projects at the departmental level and anchoring data-oriented management.
- Identifying and prioritizing application scenarios
- HAI² Methodology: Explore, Envision, Enact, Enable, Engage
- Lean Six Sigma and DMAIC
- Data as a competitive advantage and platform strategies
04
AI Security
Assessing the security of AI systems and confidently applying appropriate testing strategies.
- Development of secure AI systems
- Confident handling of uncertainty
- Testing strategies and validation methods
- Business model innovation through AI
- Practical case examples
05
AI Costs & Operationalization
Assessing profitability and sustainably anchoring AI systems in business processes.
- Development and usage costs
- Cost estimation models
- Scaling, reusability, and standardization
- Cross-departmental platform strategies
06
AI Ethics, Governance, and Compliance
Gaining confidence in dealing with guidelines, regulation, standards, and ethical dilemmas.
- Legal frameworks
- Value-based dialogue within the company
- Responsible AI and Human-Centered AI
- Ethical literacy and case studies
07
Organizational Development & Change Management
Systemically understanding and shaping organization and change within the AI transformation.
- AI transformation from a systemic perspective
- Architectures and designs of change processes
- Responsibility, culture, and cultural development
- Talent management
Learning Formats
Context creates learning progress.
Value is created by connecting knowledge, application, and networking within the real business context.
Workshop Character
The focus is on concrete problems, AI scenarios, and use cases from your own department.
Learning through Dialogue
Exchange and group work immediately link new knowledge with your own leadership context.
Live Prototyping
Working with AI systems makes possibilities, limits, and decision-making needs directly tangible.
- Content can be integrated into existing learning platforms.
Supporting Transformation
Services beyond the curriculum.
Divisional and departmental heads shape strategy, implementation, organizational development, and change management. HAI² provides targeted support along this path.
HAI² Model
Support for transformation and the learning journey
Keynote Speeches
For large group formats
Vision Workshops
Facilitation and strategic alignment
Sparring
Reflection on concrete decisions
1:1 Coaching
Individual executive support