Agentic AI for Leaders Training – Understanding AI Agents Strategically and Using Them Productively
Upon request
1 - 2 days
Online, in Munich, or in-house
Upon request
German or English
Digital Certificate of Participation
How executives are strategically leveraging Agentic AI, AI agents, and generative systems for business, management, and digital transformation. Agentic AI is transforming the way companies make decisions, automate processes, and shape digital value creation. Modern AI agents can independently analyze information, coordinate tasks, and support workflows—going far beyond traditional automation. This presents a key challenge for leadership and management: How can these technologies be used effectively, responsibly, and in a way that delivers real added value?
Our Agentic AI for Leaders training equips executives, project managers, and business decision-makers with the knowledge needed to confidently assess Agentic AI, realistically evaluate opportunities, and develop their first AI agents themselves. You’ll learn the technological fundamentals, understand risks and limitations, and discover practical use cases that companies can use to optimize their processes, improve customer experiences, and build competitive advantages.
Content and Structure of the Agentic AI for Leaders Training
This training program combines an understanding of strategic leadership with practical experience in working with agentic AI and generative AI systems.
- What is Agentic AI, and how do AI agents differ from traditional AI systems?
- Overview of Current Developments, Opportunities, and Industry Trends
- How AI Agents Are Transforming Decision-Making, Processes, and Collaboration
- Differences Between True Innovation and Short-Term AI Hype
- Technological Foundations of Agentic AI
- ReAct Study
- Running in a Loop with Tools
- Infrastructure, Data, and Systems for Successful AI Agent Implementation
- Overview of Relevant Tools, Platforms, and Digital Integration Options
- Requirements for productive use within the company
- Basics of Building Simple AI Agents with Custom GPTs
- Prompting and Structuring of Agent-Based Systems
- Hands-on Exercises for Developing Your First Agents
- Use of AI Agents for Analysis, Communication, Research, and Automation
- Development of the First Agentic Workflows for Everyday Business Operations
- Understanding the Limits of Agent-Based AI and Generative AI
- Identifying risks such as poor decision-making, bias, and poor data quality
- Governance, Ethics, and Data Protection in the Use of AI Agents
- Strategies for Risk Management and Responsible Implementation
- Real-world examples from various industries
- How Companies Use AI Agents to Make Processes More Efficient
- Improving the Customer Experience and Internal Collaboration
- Competitive Advantages Through Data-Driven and Agent-Based Systems
- Assessment of relevant business opportunities and next steps
Note: If you are already using an AI agent platform, we are happy to work within your existing environment. Alternatively, we can provide you with a Microsoft Copilot or Copilot Studio environment for training.
What You Can Put into Practice Right Away After the Agentic AI for Leaders Training
After completing the training, you will not only understand Agentic AI in theory, but you will also be able to strategically evaluate AI agents and develop initial solutions on your own.
- Understand exactly how Agentic AI and AI Agents work
- Distinguishing Innovation from Short-Term Hype
- Realistically Assessing Opportunities and Risks for Businesses
- Develop Your Own Simple AI Agents with Custom GPTs
- Designing AI-Powered Processes and Digital Workflows Effectively
- Better Assess Data and Governance Requirements
- Preparing for Strategic Decisions on the Use of Agentic AI
Who is the Agentic AI for Leaders training designed for?
This training is intended for:
- Executives and Leadership Teams
- Business and Management Executives
- Project Managers and Digital Transformation Leaders
- Innovation and Transformation Managers
- Companies that want to strategically understand and utilize Agentic AI and AI Agents
What are the eligibility requirements for the Agentic AI for Leaders training?
No specific AI or programming knowledge is required to participate. An openness to digital technologies and an interest in the strategic use of AI are sufficient.
About us as a training provider for the Agentic AI for Leaders program?
We are a management consulting firm with many years of experience in digital transformation, leadership development, and technology implementation. Our training programs combine strategic management expertise with practical technologies and concrete business applications. Through our Agentic AI for Leaders training, we help companies make effective use of AI agents, build digital competencies, and prepare leadership for the next generation of artificial intelligence.
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Expertise in Agentic AI for Leaders Training – Your Trainer
Jonas helps companies implement modern AI technologies and strategically utilize generative AI and AI agents. His focus is on explaining complex technological topics in a way that is understandable, practical, and business-oriented. In his training sessions, he combines technical expertise with clear use cases from leadership, management, and digital transformation—enabling executives to confidently evaluate and productively deploy agentic AI.
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- Strategic: Agentic AI Expertise for Leadership, Management, and Digital Transformation
- Practical: Hands-on training with real AI agent workflows and business use cases
- Secure: Focus on Governance, Data Protection, Ethics, and Responsible Use of AI
- Measurable: Focus on Decision Quality, Efficiency, and Digital Maturity
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 – Agentic AI for Leaders Training
Traditional AI typically responds to individual requests or automates clearly defined tasks. Agentic AI goes much further: AI agents can process information independently, coordinate multiple steps, use tools, and actively support processes. This results in systems that not only react but also act in a context-aware manner and prepare decisions.
No. The training is specifically designed for executives, management teams, and business leaders. Technical concepts are explained in an accessible way and taught with a practical focus, so that even participants without coding experience can confidently understand AI agents and develop their own initial solutions.
You will learn to strategically evaluate agentic AI, identify relevant use cases, and build your first AI agents on your own. At the same time, you will gain an understanding of the risks, governance requirements, and organizational implications for processes, teams, and decision-making structures. The goal is to become immediately capable of taking action—not just to build theoretical knowledge.
In our training sessions, we work with modern generative AI environments and AI agent approaches such as Custom GPTs, Microsoft Copilot, and Copilot Studio. If your company already uses its own platforms, we can conduct the exercises directly within your existing environment. This ensures a learning experience that is as practical as possible.
Both—with a clear focus on business applicability. Executives gain a strategic understanding of opportunities, risks, and the effects of transformation, while the hands-on sessions demonstrate how AI agents are actually built and used. This creates a combination of leadership perspective and practical experience.
The training covers use cases in management, knowledge work, customer experience, analytics, communication, reporting, process automation, and decision support. We also present industry-specific examples from manufacturing, services, IT, finance, and operations. The goal is to highlight specific opportunities for your company to apply these concepts.
This is highly relevant. Many companies are already experimenting with agentic systems for support, analytics, workflow automation, and knowledge management. The key question today is no longer whether to use agentic AI, but how companies can scale this technology in a controlled, secure, and economically sound manner.