AI Strategy Training for Managers and Decision-Makers – Using AI Strategically and Scaling It for the Future
Upon request
1–2 days
Munich, Online, or In-House
Upon request
German or English
Digital Certificate of Participation
From Technology to Corporate Strategy: Identifying AI Potential, Evaluating Investments, and Delivering Sustainable Results. Artificial intelligence (AI) is evolving rapidly and transforming business models, markets, and competitive conditions. For management and decision-makers, the question is therefore no longer simply whether to use AI, but above all: Where does AI create real added value for their own company? Which initiatives make economic sense? And how can AI be securely, responsibly, and scalably integrated into the organization?
Our AI Strategy for Management and Decision-Makers training course teaches you the fundamentals, methods, and decision-making frameworks needed to develop a sustainable AI strategy for your company. You’ll learn to identify relevant use cases, evaluate potential, and prepare for strategic investments. In doing so, we integrate technological developments with business strategy, organization, data, governance, and concrete implementation steps.
Content and Structure of the AI Strategy Training for Managers and Decision-Makers
This continuing education program combines strategic management knowledge with the latest developments in artificial intelligence and real-world business cases. All modules can be combined freely.
- Fundamentals, Key Concepts, and Mechanisms of Artificial Intelligence
- Overview of Current Technologies, Models, and Fields of Application
- Classifying Generative AI, Automation, AI Assistants, and AI Agents
- Assess current developments and future prospects for markets and industries
- Understanding AI as a Strategic Element for Business Models, Competitiveness, and Innovation
- Analyzing Opportunities, Limitations, and Challenges in Scaling AI
Result
A shared strategic understanding of AI and its significance for one’s own company.
- Identify relevant AI opportunities in business models, processes, and functions
- Evaluate AI Use Cases Based on Benefit, Feasibility, Risk, and Scalability
- Prioritize quick wins and strategic AI initiatives
- Exploring AI-driven business models and new opportunities for value creation
- Prepare strategic decisions regarding technologies, platforms, partnerships, and in-house development
- Identifying Common Obstacles and Success Factors in the Implementation of AI
- Analyze best practices and business case studies from various contexts
Result
Prioritized AI opportunities and a solid foundation for strategic investment and implementation decisions.
- Develop a company-wide AI strategy and a clear vision
- Aligning AI Initiatives with Corporate Goals, Organization, and Business Strategy
- Building a Trustworthy AI Operating Model for Responsible AI
- Define roles, responsibilities, processes, and decision-making structures
- Establishing the necessary conditions for data, technology, expertise, and scalability
- Shaping Cultural Change, Acceptance, and Willingness to Change
- Develop governance, risk, and quality mechanisms
Result
Organizational framework for sustainable, responsible, and scalable AI implementation.
- Introduction to the EU AI Act and Its Implications for Businesses
- Classifying Data Protection, Information Security, Transparency, and Accountability
- Understanding Risk Classes, Operator Responsibilities, and Documentation Requirements
- Developing Guidelines for the Trustworthy Use of AI
- Create an AI roadmap with priorities, milestones, and responsibilities
- Define success criteria, KPIs, and economic evaluation metrics
- Identify specific next steps for piloting, implementation, and scaling
Result
A concrete strategic roadmap for the safe and economically sound implementation of AI.
What You Can Put into Practice Immediately After Completing the AI Strategy for Management and Decision-Makers Training
After the training, you’ll be able to strategically assess AI potential and make informed plans for your company’s next steps.
- Assessing the Opportunities and Limitations of Artificial Intelligence for Your Own Company
- Identify and Prioritize Relevant AI Use Cases
- Evaluate Investments, Platforms, and Technology Options
- Aligning AI Initiatives with Business Strategy and Corporate Goals
- Define Requirements for Data, Capabilities, and Scalability
- Develop Roles, Responsibilities, and Governance Structures
- Assess risks, legal requirements, and economic benefits
- Create an initial AI roadmap with specific milestones and KPIs
- Prepare pilot projects and scale successful approaches
Who is the "AI Strategy for Management and Decision-Makers" training course intended for?
This training is intended for:
- Managing Director and Members of Executive Management
- Board Members and Division Heads
- Executives with strategic responsibilities
- Responsible for digitalization, innovation and transformation
- IT, Data, and Technology Leaders
- Management teams that want to develop or refine an AI strategy
- Companies that want to use AI in a cost-effective, secure, and sustainable way
This training program is suitable for both companies just starting their AI development and organizations with existing AI initiatives.
Prerequisites for the AI Strategy for Management and Decision-Makers Training
No prior technical knowledge is required. A basic understanding of your own business strategy and the current challenges facing your company is helpful.
Custom AI Strategy Training for Management and Decision-Makers
- Customized In-House Training for Company Executives and Management Teams
- Evaluation of Our Own Business Models, Processes, and AI Use Cases
- Development of a Customized AI Roadmap and a Strategic Vision
- Integration of company data, existing initiatives, and relevant case studies
- A combination of a seminar, a management workshop, and strategic decision-making support
About Us as a Training Provider
We are an experienced management consulting firm with over 20 years of expertise in digital transformation, emerging technologies such as artificial intelligence, leadership, and organizational development. Our training programs combine technological fundamentals with strategic business issues and concrete implementation scenarios. We help companies develop a clear AI strategy, identify relevant opportunities, and implement AI initiatives in a cost-effective, secure, and sustainable manner. Our focus is on sound decision-making, measurable results, and a clear path from the initial idea to a scalable solution.
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Expertise in AI Strategy and Transformation – Your Trainer
Thorsten Müller combines expertise in leadership, digital transformation, and strategic technology implementation. He helps management and decision-makers realistically assess the potential of AI, prioritize economically viable use cases, and develop sustainable implementation strategies. In his training sessions, he explains complex technological and organizational topics in an accessible way with a clear business focus. He demonstrates how companies can safely scale AI, define responsibilities, and turn individual initiatives into sustainable strategic impact.
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- Using AI Strategically for Management and Decision-Makers
- Customized Professional Development for Company Executives and Managers
- Proven expertise in AI, transformation, strategy, and organization
- Specific Methods for Use Cases, Roadmaps, Governance, and Scaling
TISAX and ISO certification apply only to the Munich location
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TISAX and ISO certification apply only to the Munich location
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FAQ – Frequently Asked Questions About the AI Strategy for Management and Decision-Makers Training
No. This training is designed for management and decision-makers, not developers. Technological fundamentals are explained in an accessible way so that you can strategically evaluate AI solutions, opportunities, and limitations. The focus is on business strategy, investment decisions, organization, and implementation.
You will learn where AI can deliver tangible benefits within your organization and which initiatives should be prioritized. We will also address issues related to investment, in-house development, platforms, partnerships, data, and scaling. The goal is to establish a solid foundation for decision-making regarding next steps.
AI use cases are evaluated based on benefits, feasibility, data availability, effort, risk, and scalability. In doing so, we consider both short-term “quick wins” and long-term strategic initiatives. This allows companies to focus their resources specifically on the projects with the greatest potential.
Yes. Depending on your current situation, you’ll develop initial priorities, target scenarios, responsibilities, and next steps for your organization. This can lead to an AI roadmap that includes pilot projects, milestones, KPIs, and economic evaluation criteria.
Data is a key prerequisite for many AI applications. During training, we examine data quality, availability, access rights, and the necessary skills. This allows you to determine early on whether your existing data set is sufficient for a planned use case or needs to be further developed.
Data protection, information security, transparency, and the EU AI Act are integral parts of the training. You will learn about the risks and obligations that must be considered when using various AI applications. In addition, you will develop a foundation for governance, approvals, and responsible implementation.
Yes. Your company’s business models, processes, AI ideas, and current challenges can be incorporated into the training. For in-house training, the content can be tailored specifically to your industry, organization, and strategic priorities.
A sustainable AI strategy requires clear responsibilities, shared standards, and a coordinated operating model. In this training, you’ll learn how to align AI initiatives with business strategy, organization, data, and governance. This enables successful solutions to be scaled beyond individual teams.