AI in Business Management Seminar – Preparing Strategic Decisions with Artificial Intelligence
Upon request
1–2 days
Online, in Munich, or in-house
Upon request
German or English
Digital Certificate of Participation
Understanding AI, leveraging corporate data, and shaping future-proof leadership. CEOs and executives must make decisions every day amid high levels of uncertainty. Market shifts, competitive pressure, complex data landscapes, and new technological possibilities are placing greater demands on strategic leadership. Artificial intelligence can help process information more quickly, compare options, and identify trends early on.
Our “AI in Business Leadership” seminar shows you how to use ChatGPT, Claude, Microsoft Copilot, and other AI tools as sparring partners for management, strategy, and operational decisions. You’ll learn to analyze business, financial, and market data in a targeted manner, develop relevant AI use cases, and devise a customized AI strategy for your company. The focus is on economic benefits, secure implementation, and human responsibility.
Content and Agenda of the "AI in Business Management" Seminar
This continuing education program combines strategic management, data analysis, and practical AI applications for corporate leadership and business processes. Our modules can be freely combined to suit your needs.
- Fundamentals of Artificial Intelligence, Generative AI, and Large Language Models
- Classify current AI technologies, tools, and potential applications
- Understanding AI as a Strategic Element for Business Models, Competitiveness, and Innovation
- Assess opportunities, limitations, and typical risks in a business context
- Identifying Success Factors for the Adoption and Scaling of AI
- Analyze the Impact of AI on Organization, Corporate Culture, and Decision-Making Processes
- Examining Best Practices and Common Pitfalls in AI Transformation
Result
: Strategic direction and a realistic understanding of the significance of AI for one’s own company.
- Developing Effective Prompts for Complex Business Tasks
- Make Effective Use of Roles, Context, Objectives, Criteria, and Output Formats
- Structuring Multi-Stage Analysis and Decision-Making Processes
- Develop, Evaluate, and Compare Strategic Options Using AI
- Using AI as a sparring partner for strategy, risk management, innovation, and operational decisions
- Critically examine assumptions, sources, recommendations, and possible hallucinations
- Create Reusable Management Prompts and Decision-Making Templates
Outcome: Participants will be able to apply AI in a structured manner to challenging management and decision-making tasks.
- Develop and Select Strategic Business Metrics
- Analyzing and Interpreting Key Metrics with AI Support
- Identifying Connections, Discrepancies, Trends, and Areas for Action
- Support financial statement, financial, and business analyses
- Assess the economic situation and prepare management briefings
- Analyze market, competition, and industry data
- Using Large Sets of Data to Identify Opportunities and Competitive Advantages
- Take into account data quality, limitations, and the necessary technical validation
Results: Faster and more informed analysis of corporate, financial, and market data.
- Develop a company-wide AI strategy and a clear vision
- Identify and Prioritize Relevant AI Use Cases
- Strategically Evaluate Tools, Platforms, Data, and the Technology Stack
- Integrating AI into workflows, management processes, and existing systems
- Developing AI-powered business models and new opportunities for value creation
- Use Your Own GPTs, Assistants, and Custom AI Solutions
- Fundamentals of Developing and Configuring Company-Specific GPT Applications
- Define responsibilities, success criteria, and next steps for implementation
Findings: A Concrete Framework for Integrating AI into Corporate Management and Business Processes.
- Identify technical, economic, organizational, and legal risks
- Ensuring data protection, information security, transparency, and the responsible use of AI
- Review the Quality of Key Performance Indicators, Financial, and Decision-Making Analyses
- Ensure human responsibility and oversight in business decisions
- Develop guidelines and approval processes for the use of AI
- Analyze strategic, financial, and operational business scenarios
- Create a Personal AI Management Toolbox
- Develop a Prioritized AI Roadmap for Your Own Company
Results: A reliable path to practical implementation and a concrete roadmap for the strategic use of AI in business management.
What You Can Put into Practice Right Away After the "AI in Business Management" Seminar
After the training, you will be able to use AI in a targeted manner for strategy, management, and business decisions.
- Assessing the Potential of AI for Business Models, Organization, and Competitiveness
- Using ChatGPT, Claude, and Microsoft Copilot as Management Sparring Partners
- Analyzing Strategic Options, Risks, and Scenarios
- Analyze corporate, financial, and market data more quickly
- Identify and Prioritize Relevant AI Use Cases
- Develop an Initial Enterprise-Wide AI Strategy and Roadmap
- Ensuring Data Protection, Governance, and Human Oversight
- Implementing AI Initiatives in a Way That Makes Economic and Organizational Sense
Who is the "AI in Business Management" seminar intended for?
This seminar is intended for:
- Managing Director and Members of Executive Management
- Board Members and Division Heads
- Executives with strategic responsibilities
- Entrepreneur and Owner
- Head of Strategy, Digitalization, and Transformation
- IT, Data, and Innovation Leaders
- Companies that want to integrate AI into their management and business processes in a targeted manner
This training program is suitable for both companies just starting out in AI development and organizations with existing AI initiatives.
Prerequisites for the "AI in Business Management" Seminar
No prior technical knowledge of AI is required. A basic understanding of your own company and its strategic challenges is helpful.
Custom AI Training for Corporate Leadership and Management
- Customized In-House Seminars for Executive Management and Leaders
- Integration of a company's own data, key metrics, and business processes
- Evaluation of Specific AI Use Cases and Strategic Initiatives
- Development of Custom GPT Applications and Management Workflows
- Development of an AI roadmap with priorities, responsibilities, and KPIs
About Us as a Training Provider
We are an experienced management consulting firm with deep expertise in digital transformation, leadership, strategy, and artificial intelligence. Our training programs combine strategic management knowledge with practical applications for corporate leadership and business processes.
We help companies realistically assess the potential of AI, prioritize relevant use cases, and develop a viable strategy for implementation. Our focus is on measurable results, business value, governance, and sustainable integration.
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Expertise in AI and Business Management – Your Trainer
Jonas Kuhlmann helps companies implement modern AI technologies and develop digital strategies. He explains complex topics such as generative AI, data analysis, AI use cases, and governance in an accessible way, with a clear focus on management and corporate leadership.
In his training sessions, he demonstrates how executives can use AI for strategic planning, decision support, and operational management. He combines technical expertise with business analysis and a clear focus on reliable, actionable solutions.
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- Using AI Specifically for Corporate Leadership, Strategy, and Management
- Customized Professional Development for Executives and Companies
- Proven expertise in AI, transformation, data, and strategy
- Ready-to-use methods for use cases, decisions, and roadmaps
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 in Business Management" Seminar
No. The seminar is designed for CEOs and executives, not developers. The technological fundamentals of AI are explained in an accessible way so that you can strategically evaluate tools, opportunities, and limitations. The focus is on management, strategy, data, and implementation.
AI can assist with strategic planning, market analysis, risk analysis, scenario planning, and draft decisions. Management briefings, presentations, communication tasks, and operational evaluations can also be prepared more efficiently. Responsibility for decisions remains entirely with the manager.
The training covers ChatGPT, Claude, and Microsoft Copilot, among others. It also explores custom GPTs, AI assistants, and potential agent-based solutions. The key consideration is which tool is best suited for the specific management task, data context, and security requirements.
AI can organize key metrics, identify discrepancies, and highlight correlations. Market, financial, and competitive information can also be prepared for management briefings. However, the results must always be checked for data quality, plausibility, and technical accuracy.
Use cases are evaluated based on strategic value, feasibility, data availability, effort, risk, and scalability. In doing so, we distinguish between short-term “quick wins” and long-term strategic initiatives. This provides a clear basis for investment and implementation decisions.
Yes. Your company’s business processes, key metrics, strategic issues, and AI ideas can be integrated into the training. For in-house seminars, the training can be tailored specifically to your industry, organization, and current challenges. Confidential data should only be used in authorized systems or in anonymized form.
Data protection, information security, transparency, and the responsible use of AI are integral parts of this continuing education program. You will learn which risks must be taken into account when processing data, using tools, and generating automated recommendations. In addition, you will develop the foundations for internal guidelines, approval processes, and human oversight.
Yes. They identify and prioritize relevant use cases and use them to develop initial pilot projects and implementation steps. In addition, responsibilities, success criteria, and timelines can be defined. This results in a concrete roadmap for the continued use of AI within the company.